awesome-devops-mcp-servers
A curated list of awesome MCP servers focused on DevOps tools and capabilities.
Stars: 946
A curated list of awesome Model Context Protocol (MCP) servers focused on DevOps tools and capabilities. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on DevOps-related MCP servers that extend AI capabilities through cloud infrastructure management, CLI operations, version control, security scanning, and other DevOps-related services.
README:
A curated list of awesome Model Context Protocol (MCP) servers focused on DevOps tools and capabilities.
MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on DevOps-related MCP servers that extend AI capabilities through cloud infrastructure management, CLI operations, version control, security scanning, and other DevOps-related services.
- awesome - Awesome lists about all kinds of interesting topics.
- awesome-mcp-servers - A comprehensive list of all MCP servers.
- awesome-mcp-clients - A list of MCP clients.
- ποΈ β official implementation
- programming language
- π β Python codebase
- π β TypeScript (or JavaScript) codebase
- ποΈ β Go codebase
- π¦ β Rust codebase
- #οΈβ£ - C# Codebase
- β - Java codebase
- scope
- βοΈ - Cloud Service
- π - Local Service
- π - Embedded Systems
- operating system
- π β For macOS
- πͺ β For Windows
- π§ - For Linux
Tools for managing infrastructure through code, including Terraform, Pulumi, and other IaC platforms.
- dulltz/mcp-server-hcp-terraform π βοΈ - MCP server for working with HashiCorp Cloud Platform (HCP) Terraform, enabling AI assistants to interact with Terraform Cloud resources.
- guilhermeyoshida/mcp-terraform-assistant π π - An MCP server for managing infrastructure as code using Terraform.
- jashkahar/Terraform-MCP-Server π βοΈ - This project provides an MCP server that exposes Terraform infrastructure-as-code operations through natural language.
- nwiizo/tfmcp π¦ π - A Terraform MCP server allowing AI assistants to manage and operate Terraform environments, enabling reading configurations, analyzing plans, applying configurations, and managing Terraform state.
- pulumi/mcp-server ποΈ π π - MCP server for interacting with Pulumi using the Pulumi Automation API and Pulumi Cloud API. Enables MCP clients to perform Pulumi operations like retrieving package information, previewing changes, deploying updates, and retrieving stack outputs programmatically.
- severity1/terraform-cloud-mcp π βοΈ - A Model Context Protocol server that integrates AI assistants with the Terraform Cloud API, allowing you to manage your infrastructure.
- thrash888/terraform-mcp-server π βοΈ - Terraform Registry MCP Server for interacting with Terraform registries.
- westonplatter/mcp-terraform-python π π - MCP server to run terraform operations locally.
- stakpak/mcp π¦ - MCP Server for interacting, editing and generating code for Terraform, Kubernetes, GithubActions and Dockerfile.
Tools for managing containers, Kubernetes clusters, and related orchestration platforms.
- rohitg00/kubectl-mcp-server π βοΈ/π - A Model Context Protocol (MCP) server for Kubernetes that enables AI assistants like Claude, Cursor, and others to interact with Kubernetes clusters through natural language.
-
alexei-led/k8s-mcp-server π π - A lightweight yet robust server that empowers AI assistants to securely execute Kubernetes CLI commands (
kubectl,helm,istioctl, andargocd) using Unix pipes in a safe Docker environment with multi-architecture support. - Flux159/mcp-server-kubernetes π βοΈ/π - Typescript implementation of Kubernetes cluster operations for pods, deployments, services.
- manusa/kubernetes-mcp-server ποΈ π - A powerful Kubernetes MCP server with additional support for OpenShift. Besides providing CRUD operations for any Kubernetes resource, this server provides specialized tools to interact with your cluster.
- portainer/portainer-mcp ποΈ βοΈ/π - A powerful MCP server that enables AI assistants to seamlessly interact with Portainer instances, providing natural language access to container management, deployment operations, and infrastructure monitoring capabilities.
- rohitg00/kubectl-mcp-server π βοΈ/π - A Model Context Protocol (MCP) server for Kubernetes that enables AI assistants like Claude, Cursor, and others to interact with Kubernetes clusters through natural language.
- rrmistry/tilt-mcp π π π πͺ π§ - Model Context Protocol server that integrates with Tilt to provide programmatic access to Tilt resources, logs, and management operations for Kubernetes development environments.
- strowk/mcp-k8s-go ποΈ βοΈ/π - Kubernetes cluster operations through MCP.
- weibaohui/k8m ποΈ βοΈ/π - Provides MCP multi-cluster Kubernetes management and operations, featuring a management interface, logging, and nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.
- weibaohui/kom ποΈ βοΈ/π - Provides MCP multi-cluster Kubernetes management and operations. It can be integrated as an SDK into your own project and includes nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.
- wenhuwang/mcp-k8s-eye ποΈ βοΈ/π - MCP Server for kubernetes management, and analyze your cluster, application health.
- kocierik/mcp-nomad ποΈ βοΈ/π - MCP Server for nomad management, and analyze your cluster, application health, logs and ACL.
-
aadarshjain/kubectl-mcp-server π π - A STDIO based MCP server for Kubernetes that interacts seamlessly with your local clusters (~/.kube/config) using
kubectlCLI commands. Uses read-only operations by default to prevent accidental modifications/deletion of K8s resources.
- awslabs/mcp ποΈ π βοΈ - Official AWS MCP server for interacting with AWS services using the Model Context Protocol. Enables AI assistants to manage AWS resources through natural language and programmatic interfaces.
- alexei-led/aws-mcp-server π βοΈ - A lightweight but powerful server that enables AI assistants to execute AWS CLI commands, use Unix pipes, and apply prompt templates for common AWS tasks in a safe Docker environment with multi-architecture support.
- aaronsb/ado-mcp π βοΈ - Azure DevOps MCP Server for integrating AI assistants with Azure DevOps services.
- erikhoward/adls-mcp-server π βοΈ/π - MCP Server for Azure Data Lake Storage. It can perform manage containers, read/write/upload/download operations on container files and manage file metadata.
- hardik-id/azure-resource-graph-mcp-server π βοΈ/π - A Model Context Protocol server for querying and analyzing Azure resources at scale using Azure Resource Graph, enabling AI assistants to explore and monitor Azure infrastructure.
- jdubois/azure-cli-mcp π βοΈ - A wrapper around the Azure CLI command line that allows you to talk directly to Azure.
- stefanskiasan/azure-devops-mcp-server π βοΈ - MCP Server for Cline to Access Azure DevOps.
- Tiberriver256/mcp-server-azure-devops π βοΈ - Azure DevOps integration for repository management, work items, and pipelines.
- Vortiago/mcp-azure-devops π βοΈ - A Model Context Protocol server enabling AI assistants to interact with Azure DevOps services via Python SDK.
- aliyun/alibaba-cloud-ops-mcp-server ποΈ π βοΈ - A MCP server that enables AI assistants to operation resources on Alibaba Cloud, supporting ECS, Cloud Monitor, OOS and widely used cloud products.
- eniayomi/gcp-mcp π βοΈ - A Model Context Protocol server for Google Cloud Platform, enabling AI assistants to interact with GCP resources.
- bright8192/esxi-mcp-server π βοΈ - A VMware ESXi/vCenter management server based on MCP (Model Control Protocol), providing simple REST API interfaces for virtual machine management.
- cloudflare/mcp-server-cloudflare ποΈ π βοΈ - Integration with Cloudflare services including Workers, KV, R2, and D1.
- thunderboltsid/mcp-nutanix ποΈ π /βοΈ - Go-based MCP Server for interfacing with Nutanix Prism Central resources.
Run commands, capture output and otherwise interact with shells and command line tools.
- ferrislucas/iterm-mcp π₯οΈ π οΈ π¬ - A Model Context Protocol server that provides access to iTerm. You can run commands and ask questions about what you see in the iTerm terminal.
-
g0t4/mcp-server-commands π π - Run any command with
run_commandandrun_scripttools. -
maxim-saplin/mcp_safe_local_python_executor - Safe Python interpreter based on HF Smolagents
LocalPythonExecutor - MladenSU/cli-mcp-server π π - Command line interface with secure execution and customizable security policies
- OthmaneBlial/term_mcp_deepseek π π - A DeepSeek MCP-like Server for Terminal
- tumf/mcp-shell-server - A secure shell command execution server implementing the Model Context Protocol (MCP)
- automateyournetwork/pyATS_MCP - Cisco pyATS server enabling structured, model-driven interaction with network devices.
- wonderwhy-er/DesktopCommanderMCP π π π πͺ π§ - A swiss-army-knife that can manage/execute programs and read/write/search/edit code and text files.
Interact with Git repositories and version control platforms. Enables repository management, code analysis, pull request handling, issue tracking, and other version control operations through standardized APIs.
- adhikasp/mcp-git-ingest π π - Read and analyze GitHub repositories with your LLM
- ddukbg/github-enterprise-mcp π βοΈ π - MCP server for GitHub Enterprise API integration
- gitea/gitea-mcp ποΈ ποΈ βοΈ π π πͺ π§ - Interactive with Gitea instances with MCP.
- github/github-mcp-server π βοΈ - Official GitHub server for integration with repository management, PRs, issues, and more.
- kopfrechner/gitlab-mr-mcp π βοΈ - Interact seamlessly with issues and merge requests of your GitLab projects.
- modelcontextprotocol/server-git π π - Direct Git repository operations including reading, searching, and analyzing local repositories
- modelcontextprotocol/server-gitlab π βοΈ π - GitLab platform integration for project management and CI/CD operations
- oschina/mcp-gitee ποΈ βοΈ π - Gitee API integration, repository, issue, and pull request management, and more.
- Tiberriver256/mcp-server-azure-devops π βοΈ - Azure DevOps integration for repository management, work items, and pipelines.
MCP servers for security operations, vulnerability scanning, and threat detection.
- LaurieWired/GhidraMCP β π - A Model Context Protocol server for Ghidra that enables LLMs to autonomously reverse engineer applications. Provides tools for decompiling binaries, renaming methods and data, and listing methods, classes, imports, and exports.
- 13bm/GhidraMCP π β π - MCP server for integrating Ghidra with AI assistants. This plugin enables binary analysis, providing tools for function inspection, decompilation, memory exploration, and import/export analysis via the Model Context Protocol.
- BurtTheCoder/mcp-shodan π πͺ βοΈ - MCP server for querying the Shodan API and Shodan CVEDB. This server provides tools for IP lookups, device searches, DNS lookups, vulnerability queries, CPE lookups, and more.
- BurtTheCoder/mcp-virustotal π πͺ βοΈ - MCP server for querying the VirusTotal API. This server provides tools for scanning URLs, analyzing file hashes, and retrieving IP address reports.
- cordum-io/cordum ποΈ π βοΈ - Safety-first agent control plane with pre-dispatch policy evaluation (deny/escalate/allow), output scanning (PII, secrets, injection), job scheduling, and full audit trail. Native MCP server with stdio and HTTP/SSE transport.
- fr0gger/MCP_Security π βοΈ - MCP server for querying the ORKL API. This server provides tools for fetching threat reports, analyzing threat actors, and retrieving intelligence sources.
- girste/mcp-cybersec-watchdog π π π§ - Comprehensive security audit tool for Linux servers. Analyzes firewall, SSH hardening, threats, fail2ban, Docker, kernel hardening. Returns actionable recommendations with zero configuration.
- qianniuspace/mcp-security-audit π βοΈ - A powerful MCP (Model Context Protocol) Server that audits npm package dependencies for security vulnerabilities. Built with remote npm registry integration for real-time security checks.
- semgrep/mcp π βοΈ - Allow AI agents to scan code for security vulnerabilites using Semgrep.
- slouchd/cyberchef-api-mcp-server π βοΈ - MCP server for interacting with the CyberChef server API which will allow an MCP client to utilise the CyberChef operations.
- rad-security/mcp-server π βοΈ - MCP server for RAD Security, providing AI-powered security insights for Kubernetes and cloud environments. This server provides tools for querying the Rad Security API and retrieving security findings, reports, runtime data and many more.
- securityfortech/secops-mcp π π - All-in-one security testing toolbox that brings together popular open source tools through a single MCP interface. Connected to an AI agent, it enables tasks like pentesting, bug bounty hunting, threat hunting, and more.
- roadwy/cve-search_mcp π π - A Model Context Protocol (MCP) server for querying the CVE-Search API. This server provides comprehensive access to CVE-Search, browse vendor and productγget CVE per CVE-IDγget the last updated CVEs.
- nickpending/mcp-recon ποΈ π - Conversational recon interface and MCP server powered by httpx and asnmap. Supports various reconnaissance levels for domain analysis, security header inspection, certificate analysis, and ASN lookup.
-
imran-siddique/agent-os π π - Kernel-level governance MCP server for AI agents. Provides deterministic policy enforcement, compliance checking (SOC2, GDPR, HIPAA), audit logging (SQLite-based), and human-in-the-loop approvals. Install via
pip install agent-os-kernel. - takleb3rry/zitadel-mcp π βοΈ/π - MCP server for Zitadel identity management β manage users, projects, OIDC apps, roles, and service accounts through natural language. Supports user lifecycle, RBAC, and OIDC configuration.
- luckyPipewrench/pipelock ποΈ π - Firewall for AI agents that wraps MCP servers with bidirectional scanning for credential leaks, prompt injection, and tool poisoning detection. Also provides an HTTP fetch proxy with a 9-layer scanner pipeline.
Tools for automating the integration of code changes and running tests.
- Tiberriver256/mcp-server-github-actions π βοΈ - MCP server for interacting with GitHub Actions workflows, enabling AI assistants to manage CI/CD pipelines.
- lobehub/mcp-hello-world π βοΈ - A simple Hello World MCP server for CI/CD test.
Tools specifically designed for mobile application CI/CD pipelines.
- stefanoamorelli/codemagic-mcp π βοΈ - Codemagic CI/CD MCP Server for mobile app CI/CD pipeline management.
Tools for providing visibility across the entire DevOps lifecycle.
- SBDI/mcp-devps-hub π π - MCP server for end-to-end development visibility (Jira, GitHub, CI/CD, etc.).
- Acid-base/FastMCP-Proper π π - Python MCP server with CI/CD tooling and testability built-in.
- gofireflyio/firefly-mcp ποΈ π βοΈ - Integrates, discovers, manages, and codifies cloud resources with Firefly.
Code execution servers. Allow LLMs to execute code in a secure environment.
- pydantic/pydantic-ai/mcp-run-python π π - Run Python code in a secure sandbox via MCP tool calls
- yepcode/mcp-server-js ποΈ π βοΈ - Execute any LLM-generated code in a secure and scalable sandbox environment and create your own MCP tools using JavaScript or Python, with full support for NPM and PyPI packages
- ckanthony/openapi-mcp ποΈ βοΈ - OpenAPI-MCP: Dockerized MCP Server to allow your AI agent to access any API with existing api docs.
- alfonsograziano/node-code-sandbox-mcp π π β A Node.js MCP server that spins up isolated Docker-based sandboxes for executing JavaScript snippets with on-the-fly npm dependency installation and clean teardown
Tools for testing, fault injection, and resilience validation.
- Typewise/mcp-chaos-rig π π - A local MCP server that breaks on demand. Test your client against auth failures, disappearing tools, flaky responses, and token expiry, all from a web UI.
- ai-dashboad/flutter-skill - AI-powered E2E testing bridge for any app. Supports Flutter, iOS, Android, Web, Electron, Tauri, KMP, React Native, .NET MAUI.
Full coding agents that enable LLMs to read, edit, and execute code and solve general programming tasks completely autonomously.
- bgauryy/octocode-mcp βοΈ π π πͺ π§ - AI-powered developer assistant that enables advanced research, analysis and discovery across GitHub ecosystem
- oraios/serena ππ - A fully-featured coding agent that relies on symbolic code operations by using language servers.
- ezyang/codemcp ππ - Coding agent with basic read, write and command line tools.
-
- Wolfe-Jam/claude-faf-mcp π π - First & only persistent project context MCP. Provides .faf (Foundational AI-context Format) Project DNA with 33+ tools, Podium scoring (0-100%), and format-driven architecture. Official Anthropic Registry. 10k+ npm downloads.
- Wolfe-Jam/faf-mcp π π - Universal persistent project context for Cursor, Windsurf, Cline, VS Code, and all MCP-compatible platforms (including Claude Desktop). IANA-registered format (application/vnd.faf+yaml). 17 native tools, AI-readiness scoring.
- doggybee/mcp-server-leetcode π βοΈ - An MCP server that enables AI models to search, retrieve, and solve LeetCode problems. Supports metadata filtering, user profiles, submissions, and contest data access.
-
jinzcdev/leetcode-mcp-server π βοΈ - MCP server enabling automated access to LeetCode's programming problems, solutions, submissions and public data with optional authentication for user-specific features (e.g., notes), supporting both
leetcode.com(global) andleetcode.cn(China) sites. - juehang/vscode-mcp-server π π - A MCP Server that allows AI such as Claude to read from the directory structure in a VS Code workspace, see problems picked up by linter(s) and the language server, read code files, and make edits.
- scrapeless/mcp-server-scrapeless πβοΈππͺπ§ - Seamlessly integrate real-time Google SERP(Google Search, Google Flight, Google Map, Google Jobs....) results into your LLM applications using the Scrapeless MCP server.
Servers for accessing many apps and tools through a single MCP server.
- askbudi/roundtable π π - Zero-configuration MCP server that unifies multiple AI coding assistants (Codex, Claude Code, Cursor, Gemini) through intelligent auto-discovery and standardized interface.
- Composiohq/Rube - Rube is an MCP server built on the Composio integration platform. It connects your AI tools to 500+ apps.
- julien040/anyquery ποΈ π βοΈ - Query more than 40 apps with one binary using SQL. It can also connect to your PostgreSQL, MySQL, or SQLite compatible database. Local-first and private by design.
- metatool-ai/metatool-app π βοΈ π π πͺ π§ - MetaMCP is the one unified middleware MCP server that manages your MCP connections with GUI.
- mindsdb/mindsdb - Connect and unify data across various platforms and databases with MindsDB as a single MCP server.
- glenngillen/mcpmcp-server βοΈ π π πͺ π§ - A list of MCP servers so you can ask your client which servers you can use to improve your daily workflow.
- smart-mcp-proxy/mcpproxy-go ποΈ π - Local MCP proxy that aggregates multiple servers behind a single endpoint. Features BM25 tool discovery, quarantine security, activity logging, Docker isolation, and web UI.
- wegotdocs/open-mcp π π π πͺ π§ - Turn a web API into an MCP server in 10 seconds and add it to the open source registry: https://open-mcp.org
- PipedreamHQ/pipedream βοΈ π - Connect with 2,500 APIs with 8,000+ prebuilt tools, and manage servers for your users, in your own app.
- VeriTeknik/pluggedin-mcp-proxy π π - A comprehensive proxy server that combines multiple MCP servers into a single interface with extensive visibility features. It provides discovery and management of tools, prompts, resources, and templates across servers, plus a playground for debugging when building MCP servers.
- tigranbs/mcgravity π π - A proxy tool for composing multiple MCP servers into one unified endpoint. Scale your AI tools by load balancing requests across multiple MCP servers, similar to how Nginx works for web servers.
- MetaMCP π βοΈ π π πͺ π§ - MetaMCP is the one unified middleware MCP server that manages your MCP connections with GUI.
- WayStation-ai/mcp βοΈ π πͺ - Seamlessly and securely connect Claude Desktop and other MCP hosts to your favorite apps (Notion, Slack, Monday, Airtable, etc.). Takes less than 90 secs.
- sxhxliang/mcp-access-point π βοΈ π π πͺ π§ - Turn a web service into an MCP server in one click without making any code changes. Consider moving this entry to a 'Databases' section if one exists, or creating one. Database-specific tools don't fit the 'Aggregators' category which is described as 'Servers for accessing many apps and tools through a single MCP server.'
- juspay/neurolink π βοΈ π - TypeScript-first AI SDK that unifies 13 major AI providers and 100+ models under a single consistent API. Connects to remote MCP servers via addExternalMCPServer/addMCPServer APIs with built-in HTTP-based MCP connection, auth, retries, and rate limiting.
Web content access and automation capabilities. Enables searching, scraping, and processing web content in AI-friendly formats.
- aircodelabs/grasp π π - Self-hosted browser using agent with built-in MCP and A2A support.
- Automata-Labs-team/MCP-Server-Playwright π - An MCP server for browser automation using Playwright
- blackwhite084/playwright-plus-python-mcp π - An MCP python server using Playwright for browser automation, more suitable for llm
- browserbase/mcp-server-browserbase ποΈ π - Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more)
- browsermcp/mcp π π - Automate your local Chrome browser
- co-browser/browser-use-mcp-server π - browser-use packaged as an MCP server with SSE transport. includes a dockerfile to run chromium in docker + a vnc server.
- executeautomation/mcp-playwright-server π - An MCP server using Playwright for browser automation and webscrapping
- eyalzh/browser-control-mcp π π - An MCP server paired with a browser extension that enables LLM clients to control the user's browser (Firefox).
- getrupt/ashra-mcp π π - Extract structured data from any website. Just prompt and get JSON.
-
kimtth/mcp-aoai-web-browsing π π - A
minimalserver/client MCP implementation using Azure OpenAI and Playwright. - microsoft/playwright-mcp - Official Microsoft Playwright MCP server, enabling LLMs to interact with web pages through structured accessibility snapshots
- modelcontextprotocol/server-puppeteer π π - Browser automation for web scraping and interaction
- ndthanhdev/mcp-browser-kit π π - An MCP Server for interacting with manifest v2 compatible browsers.
Tools for analyzing and managing project dependencies across build systems.
- arvindand/maven-tools-mcp β βοΈ π π πͺ π§ - Universal Maven Central dependency intelligence for JVM build tools (Maven, Gradle, SBT, Mill). Provides version lookups, dependency health checks, age analysis, release patterns, and upgrade guidance with Context7 integration.
- tersePrompts/jarp-mcp π β π - Java Archive Reader Protocol - MCP server that gives AI agents X-ray vision into compiled Java code. Enables decompiling and analyzing Java classes directly from Maven/Gradle dependencies using bundled CFR decompiler with zero-setup installation.
Tools for collecting, querying, and analyzing metrics in DevOps environments.
- CaesarYangs/prometheus_mcp_server π βοΈ - A Model Context Protocol server enabling LLMs to query, analyze, and interact with Prometheus databases through predefined routes.
- etruong42/prometheus-mcp π βοΈ - MCP server to connect LLMs with Prometheus HTTP API for metrics querying and analysis.
- loginmqv/mcp-server-prometheus π βοΈ - MCP server for interacting with Prometheus, enabling AI assistants to query and analyze metrics data.
- pab1it0/prometheus-mcp-server π βοΈ - A Model Context Protocol server that enables AI assistants to query and analyze Prometheus metrics through standardized interfaces.
- VictoriaMetrics-Community/mcp-victoriametrics ποΈ βοΈ - The implementation of Model Context Protocol (MCP) server for VictoriaMetrics. This provides access to your VictoriaMetrics instance and seamless integration with VictoriaMetrics APIs and documentation.
Tools for managing alerts and notifications in monitoring systems.
- kaznak/alertmanager-mcp π βοΈ - A Model Context Protocol server that integrates with Prometheus Alertmanager for alert management and notification.
Tools for monitoring application performance and infrastructure health.
- dynatrace-oss/dynatrace-mcp π βοΈ - MCP server for Dynatrace Observability monitoring, providing AI-powered insights into application performance and infrastructure health.
- last9/last9-mcp-server ποΈ βοΈ - Last9 MCP Server for observability and monitoring, providing AI assistants with access to metrics, logs, and traces.
- willibrandon/CursorMCPMonitor #οΈβ£ π - Real-time monitoring tool for Model Context Protocol interactions in Cursor AI editor. Track, analyze, and debug AI context exchanges.
- Polar Signals Remote MCP π βοΈ - MCP server for Polar Signals Cloud continuous profiling platform, enabling AI assistants to analyze CPU performance, memory usage, and identify optimization opportunities in production systems.
Tools for managing customer support tickets and helpdesk operations.
- effytech/freshdesk-mcp π βοΈ - MCP server that integrates with Freshdesk, enabling AI models to interact with Freshdesk modules and perform various support operations.
- dbsanfte/topdesk-mcp π βοΈ - MCP server for the Topdesk ticketing system, allowing AI models to interact with and add comments to incident tickets.
Tools for managing projects, issues, and workflows.
- nguyenvanduocit/jira-mcp ποΈ βοΈ - A Go-based MCP connector for Jira that enables AI assistants like Claude to interact with Atlassian Jira. This tool provides a seamless interface for AI models to perform common Jira operations including issue management, sprint planning, and workflow transitions.
- sooperset/mcp-atlassian π βοΈ - MCP server for Atlassian products (Confluence and Jira). Supports Confluence Cloud, Jira Cloud, and Jira Server/Data Center. Provides comprehensive tools for searching, reading, creating, and managing content across Atlassian workspaces.
-
MervinPraison/praisonai-mcp π π βοΈ - AI Agents framework with 64+ built-in MCP tools for automation, including search, memory, workflows, code execution, and file operations. Frameworks for building your own MCP servers.
-
FastMCP π - A high-level framework for building MCP servers in Python
-
FastMCP π - A high-level framework for building MCP servers in TypeScript
-
tersePrompts/fastMCP4J β π - Lightweight Java library for building MCP servers using annotations. Annotation-driven development with only 12 dependencies, built-in tools (memory, todo, planner, file ops, bash, telemetry), multi-class modules support, and <500ms cold start.
Contributions welcome! Read the contribution guidelines first.
This project is licensed under the MIT License. See the LICENSE file for details.
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
Alternative AI tools for awesome-devops-mcp-servers
Similar Open Source Tools
awesome-devops-mcp-servers
A curated list of awesome Model Context Protocol (MCP) servers focused on DevOps tools and capabilities. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on DevOps-related MCP servers that extend AI capabilities through cloud infrastructure management, CLI operations, version control, security scanning, and other DevOps-related services.
awesome-mcp-servers
Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that enable AI models to securely interact with local and remote resources through standardized server implementations. The list includes production-ready and experimental servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.
obot
Obot is an open source AI agent platform that allows users to build agents for various use cases such as copilots, assistants, and autonomous workflows. It offers integration with leading LLM providers, built-in RAG for data, easy integration with custom web services and APIs, and OAuth 2.0 authentication.
awesome-AI-driven-development
Awesome AI-Driven Development is a curated list of tools, frameworks, and resources for AI-driven development. It includes AI code editors, terminal-based coding agents, IDE plugins & extensions, multi-agent systems, code generation & templates, testing & quality assurance tools, Model Context Protocol implementations, pull request & code review tools, project management & documentation tools, language models for code, development workflows tools, code search & analysis tools, specialized tools for Git & version control, cloud & DevOps, language-specific tasks, terminal & shell utilities, prompt & context management tools, Copilot extensions & alternatives, learning & tutorials resources, and configuration & enhancement tools for AI coding assistants.
suna
Kortix is an open-source platform designed to build, manage, and train AI agents for various tasks. It allows users to create autonomous agents, from general-purpose assistants to specialized automation tools. The platform offers capabilities such as browser automation, file management, web intelligence, system operations, API integrations, and agent building tools. Users can create custom agents tailored to specific domains, workflows, or business needs, enabling tasks like research & analysis, browser automation, file & document management, data processing & analysis, and system administration.
mcp-for-security
MCP for Security is a repository that contains Model Context Protocol (MCP) server implementations for various security testing tools, making them accessible through a standardized interface. It aims to provide automated threat detection and reduce human latency in cybersecurity by combining artificial intelligence and security tools. Users can access a variety of tools for subdomain enumeration, reconnaissance, vulnerability scanning, web crawling, HTTP security analysis, mobile application security testing, network scanning, SSL/TLS configuration analysis, DNS brute-forcing, HTTP request smuggling detection, SQL injection testing, historical URL retrieval, and WordPress vulnerability scanning. The repository encourages collaboration and rapid evolution through open-source projects.
bedrock-agentcore-starter-toolkit
Amazon Bedrock AgentCore Starter Toolkit enables developers to deploy and operate highly effective AI agents securely at scale using any framework and model. It provides tools and capabilities to make agents more effective and capable, purpose-built infrastructure to securely scale agents, and controls to operate trustworthy agents. The toolkit includes modular services like Runtime, Memory, Gateway, Code Interpreter, Browser, Observability, Identity, and Import Agent for seamless migration of existing agents. It is currently in public preview and offers enterprise-grade security and reliability for accelerating AI agent development.
Slurm-web
Slurm-web is an open source web dashboard designed for Slurm based HPC clusters. It provides a graphical user interface to track jobs, insights, and visualizations for monitoring HPC supercomputers. The tool offers features like interactive charts, job filtering, live status updates, node visualization, RBAC permissions, LDAP authentication, and integration with Prometheus for metrics collection.
awesome-limitless
A curated list of amazing projects and resources built with the Limitless AI Pendant API. It includes applications, CLI tools, data visualization tools, integrations with plugins and extensions, utilities for server conversion and data ingestion, SDKs and libraries for Go and TypeScript, learning resources, and official API documentation.
ragna
Ragna is a RAG orchestration framework designed for managing workflows and orchestrating tasks. It provides a comprehensive set of features for users to streamline their processes and automate repetitive tasks. With Ragna, users can easily create, schedule, and monitor workflows, making it an ideal tool for teams and individuals looking to improve their productivity and efficiency. The framework offers extensive documentation, community support, and a user-friendly interface, making it accessible to users of all skill levels. Whether you are a developer, data scientist, or project manager, Ragna can help you simplify your workflow management and boost your overall performance.
spider
Spider is a high-performance web crawler and indexer designed to handle data curation workloads efficiently. It offers features such as concurrency, streaming, decentralization, headless Chrome rendering, HTTP proxies, cron jobs, subscriptions, smart mode, blacklisting, whitelisting, budgeting depth, dynamic AI prompt scripting, CSS scraping, and more. Users can easily get started with the Spider Cloud hosted service or set up local installations with spider-cli. The tool supports integration with Node.js and Python for additional flexibility. With a focus on speed and scalability, Spider is ideal for extracting and organizing data from the web.
adk-go
An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control. Agent Development Kit (ADK) is a flexible and modular framework that simplifies building, deploying, and orchestrating agent workflows, optimized for cloud-native agent applications. It offers idiomatic Go design, rich tool ecosystem, code-first development, modular multi-agent systems, and easy deployment in cloud-native environments like Google Cloud Run.
llmariner
LLMariner is an extensible open source platform built on Kubernetes to simplify the management of generative AI workloads. It enables efficient handling of training and inference data within clusters, with OpenAI-compatible APIs for seamless integration with a wide range of AI-driven applications.
seatunnel
SeaTunnel is a high-performance, distributed data integration tool trusted by numerous companies for synchronizing vast amounts of data daily. It addresses common data integration challenges by seamlessly integrating with diverse data sources, supporting multimodal data integration, complex synchronization scenarios, resource efficiency, and quality monitoring. With over 100 connectors, SeaTunnel offers batch-stream integration, distributed snapshot algorithm, multi-engine support, JDBC multiplexing, and log parsing. It provides high throughput, low latency, real-time monitoring, and supports two job development methods. Users can configure jobs, select execution engines, and parallelize data using source connectors. SeaTunnel also supports multimodal data integration, Apache SeaTunnel tools, real-world use cases, and visual management of jobs through the SeaTunnel Web Project.
ai-toolbox
AI-Toolbox is a collection of automation scripts and tools designed to streamline AI workflows. It simplifies the installation process of various AI applications, making software deployment effortless for data scientists, researchers, and developers. The toolbox offers automated installation of multiple applications, customization for specific workflows, easy-to-use scripts, and receives regular updates and contributions from the community.
AingDesk
AingDesk is a tool that allows users to deploy DeepSeek or other AI models on their computer with just one click. It features a user-friendly interface, multi-source knowledge base support, built-in chat interface, and the ability to share projects online. The tool is optimized for performance on both local and cloud environments, with a focus on hassle-free setup and extensibility through a modular architecture. The development plan includes support for third-party API integrations and local deployment of text-to-image hybrid models for creative workflows.
For similar tasks
awesome-devops-mcp-servers
A curated list of awesome Model Context Protocol (MCP) servers focused on DevOps tools and capabilities. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on DevOps-related MCP servers that extend AI capabilities through cloud infrastructure management, CLI operations, version control, security scanning, and other DevOps-related services.
logfire
Pydantic Logfire is an observability platform that provides simple and powerful dashboard, Python-centric insights, SQL querying, OpenTelemetry integration, and Pydantic validation analytics. It offers unparalleled visibility into Python applications' behavior and allows querying data using standard SQL. Logfire is an opinionated wrapper around OpenTelemetry, supporting traces, metrics, and logs. The Python SDK for logfire is open source, while the server application for recording and displaying data is closed source.
ruby_llm-monitoring
RubyLLM::Monitoring is a tool designed to monitor the LLM (Live-Link Monitoring) usage within a Rails application. It provides a dashboard to display metrics such as Throughput, Cost, Response Time, and Error Rate. Users can customize the displayed metrics and add their own custom metrics. The tool also supports setting up alerts based on predefined conditions, such as monitoring cost and errors. Authentication and authorization are left to the user, allowing for flexibility in securing the monitoring dashboard. Overall, RubyLLM::Monitoring aims to provide a comprehensive solution for monitoring and analyzing the performance of a Rails application.
For similar jobs
ludwig
Ludwig is a declarative deep learning framework designed for scale and efficiency. It is a low-code framework that allows users to build custom AI models like LLMs and other deep neural networks with ease. Ludwig offers features such as optimized scale and efficiency, expert level control, modularity, and extensibility. It is engineered for production with prebuilt Docker containers, support for running with Ray on Kubernetes, and the ability to export models to Torchscript and Triton. Ludwig is hosted by the Linux Foundation AI & Data.
wenda
Wenda is a platform for large-scale language model invocation designed to efficiently generate content for specific environments, considering the limitations of personal and small business computing resources, as well as knowledge security and privacy issues. The platform integrates capabilities such as knowledge base integration, multiple large language models for offline deployment, auto scripts for additional functionality, and other practical capabilities like conversation history management and multi-user simultaneous usage.
LLMonFHIR
LLMonFHIR is an iOS application that utilizes large language models (LLMs) to interpret and provide context around patient data in the Fast Healthcare Interoperability Resources (FHIR) format. It connects to the OpenAI GPT API to analyze FHIR resources, supports multiple languages, and allows users to interact with their health data stored in the Apple Health app. The app aims to simplify complex health records, provide insights, and facilitate deeper understanding through a conversational interface. However, it is an experimental app for informational purposes only and should not be used as a substitute for professional medical advice. Users are advised to verify information provided by AI models and consult healthcare professionals for personalized advice.
Chinese-Mixtral-8x7B
Chinese-Mixtral-8x7B is an open-source project based on Mistral's Mixtral-8x7B model for incremental pre-training of Chinese vocabulary, aiming to advance research on MoE models in the Chinese natural language processing community. The expanded vocabulary significantly improves the model's encoding and decoding efficiency for Chinese, and the model is pre-trained incrementally on a large-scale open-source corpus, enabling it with powerful Chinese generation and comprehension capabilities. The project includes a large model with expanded Chinese vocabulary and incremental pre-training code.
AI-Horde-Worker
AI-Horde-Worker is a repository containing the original reference implementation for a worker that turns your graphics card(s) into a worker for the AI Horde. It allows users to generate or alchemize images for others. The repository provides instructions for setting up the worker on Windows and Linux, updating the worker code, running with multiple GPUs, and stopping the worker. Users can configure the worker using a WebUI to connect to the horde with their username and API key. The repository also includes information on model usage and running the Docker container with specified environment variables.
openshield
OpenShield is a firewall designed for AI models to protect against various attacks such as prompt injection, insecure output handling, training data poisoning, model denial of service, supply chain vulnerabilities, sensitive information disclosure, insecure plugin design, excessive agency granting, overreliance, and model theft. It provides rate limiting, content filtering, and keyword filtering for AI models. The tool acts as a transparent proxy between AI models and clients, allowing users to set custom rate limits for OpenAI endpoints and perform tokenizer calculations for OpenAI models. OpenShield also supports Python and LLM based rules, with upcoming features including rate limiting per user and model, prompts manager, content filtering, keyword filtering based on LLM/Vector models, OpenMeter integration, and VectorDB integration. The tool requires an OpenAI API key, Postgres, and Redis for operation.
VoAPI
VoAPI is a new high-value/high-performance AI model interface management and distribution system. It is a closed-source tool for personal learning use only, not for commercial purposes. Users must comply with upstream AI model service providers and legal regulations. The system offers a visually appealing interface, independent development documentation page support, service monitoring page configuration support, and third-party login support. It also optimizes interface elements, user registration time support, data operation button positioning, and more.
VoAPI
VoAPI is a new high-value/high-performance AI model interface management and distribution system. It is a closed-source tool for personal learning use only, not for commercial purposes. Users must comply with upstream AI model service providers and legal regulations. The system offers a visually appealing interface with features such as independent development documentation page support, service monitoring page configuration support, and third-party login support. Users can manage user registration time, optimize interface elements, and support features like online recharge, model pricing display, and sensitive word filtering. VoAPI also provides support for various AI models and platforms, with the ability to configure homepage templates, model information, and manufacturer information.