
claude-debugs-for-you
Enable any LLM (e.g. Claude) to interactively debug any language for you via MCP and a VS Code Extension
Stars: 252

Claude Debugs For You is an MCP Server and VS Code extension that enables interactive debugging and evaluation of expressions with Claude or other LLM models. It is language-agnostic, requiring debugger console support and a valid launch.json for debugging in VSCode. Users can download the extension from releases or VS Code Marketplace, install it, and access commands through the status menu item 'Claude Debugs For You'. The tool supports debugging setups using stdio or /sse, and users can follow specific setup instructions depending on their configuration. Once set up, users can debug their code by interacting with the tool, which provides suggestions and fixes for identified issues.
README:
aka Vibe Debugging
This is an MCP Server and VS Code extension which enables claude to interactively debug and evaluate expressions.
That means it should also work with other models / clients etc. but I only demonstrate it with Claude Desktop and Continue here.
It's language-agnostic, assuming debugger console support and valid launch.json for debugging in VSCode.
- Download the extension from releases or VS Code Marketplace
- Install the extension
- If using
.vsix
directly, go to the three dots in "Extensions" in VS Code and choose "Install from VSIX..."
- You will see a new status menu item "Claude Debugs For You" which shows if it is running properly (check) or failed to startup (x)
You can click this status menu for the commands available
If using stdio (classic, required for Claude Desktop)
-
Copy the stdio server path to your clipboard by searching vs code commands for "Copy MCP Debug Server stdio path to clipboard"
-
Paste the following (BUT UPDATE THE PATH TO THE COPIED ONE!) in your
claude_desktop_config.json
or edit accordingly if you use other MCP servers
{
"mcpServers": {
"debug": {
"command": "node",
"args": [
"/path/to/mcp-debug.js"
]
}
}
}
- Start Claude desktop (or other MCP client)
- Note: You may need to restart it, if it was already running.
- You can skip this step if using Continue/Cursor or other built-in to VS Code
If using `/sse` (e.g. Cursor)
- Retrieve the MCP server sse address by using the "Copy MCP Debug Server sse address to clipboard" command
- You can just write it out server URL of "http://localhost:4711/sse", or whatever port you setup in settings.
- Add it wherever you need to based on your client
- You may need to hit "refresh" depending on client: this is required in Cursor
- Start MCP client
- Note: You may need to restart it, if it was already running.
- You can skip this step if using Continue/Cursor or other built-in to VS Code
VS Code Debugging Documentation
Open a project containing a .vscode/launch.json
with the first configuration setup to debug a specific file with ${file}
.
See Run an Example below, and/or watch a demo video.
Find bugs or have an idea that will improve this? Please open a pull request or log an issue.
Does this readme suck? Help me improve it!
Using Continue
It figures out the problem, and then suggests a fix, which we just click to apply
https://github.com/user-attachments/assets/3a0a879d-2db7-4a3f-ab43-796c22a0f1ef
How do I set this up with Continue? / Show MCP Configuration
Configuration:
{
...
"experimental": {
"modelContextProtocolServers": [
{
"transport": {
"type": "stdio",
"command": "node",
"args": [
"/Users/jason/Library/Application Support/Code/User/globalStorage/jasonmcghee.claude-debugs-for-you/mcp-debug.js"
]
}
}
]
}
}
You'll also need to choose a model capable of using tools.
When the list of tools pops up, make sure to click "debug" in the list of your tools, and set it to be "Automatic".
If you are seeing MCP errors in continue, try disabling / re-enabling the continue plugin
If helpful, this is what my configuration looks like! But it's nearly the same as Claude Desktop.
In this example, I made it intentionally very cautious (make no assumptions etc - same prompt as below) but you can ask it to do whatever.
https://github.com/user-attachments/assets/ef6085f7-11a2-4eea-bb60-b5a54873b5d5
- Clone / Open this repo with VS Code
- Run
npm run install
andnpm run compile
- Hit "run" which will open a new VSCode
- Otherwise same as "Getting Started applies"
- To rebuild,
npm run compile
vsce package
Open examples/python
in a VS Code window
Enter the prompt:
i am building `longest_substring_with_k_distinct` and for some reason it's not working quite right. can you debug it step by step using breakpoints and evaluating expressions to figure out where it goes wrong? make sure to use the debug tool to get access and debug! don't make any guesses as to the problem up front. DEBUG!
When you start multiple vs code windows, you'll see a pop-up. You can gracefully hand-off "Claude Debugs For You" between windows.
You can also disable autostart. Then you'll just need to click the status menu and select "Start Server".
- [ ] It should use ripgrep to find what you ask for, rather than list files + get file content.
- [x] Add support for conditional breakpoints
- [ ] Add "fix" tool by allowing MCP to insert a CodeLens or "auto fix" suggestion so the user can choose to apply a recommended change or not.
- Your idea here!
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
Alternative AI tools for claude-debugs-for-you
Similar Open Source Tools

claude-debugs-for-you
Claude Debugs For You is an MCP Server and VS Code extension that enables interactive debugging and evaluation of expressions with Claude or other LLM models. It is language-agnostic, requiring debugger console support and a valid launch.json for debugging in VSCode. Users can download the extension from releases or VS Code Marketplace, install it, and access commands through the status menu item 'Claude Debugs For You'. The tool supports debugging setups using stdio or /sse, and users can follow specific setup instructions depending on their configuration. Once set up, users can debug their code by interacting with the tool, which provides suggestions and fixes for identified issues.

ray-llm
RayLLM (formerly known as Aviary) is an LLM serving solution that makes it easy to deploy and manage a variety of open source LLMs, built on Ray Serve. It provides an extensive suite of pre-configured open source LLMs, with defaults that work out of the box. RayLLM supports Transformer models hosted on Hugging Face Hub or present on local disk. It simplifies the deployment of multiple LLMs, the addition of new LLMs, and offers unique autoscaling support, including scale-to-zero. RayLLM fully supports multi-GPU & multi-node model deployments and offers high performance features like continuous batching, quantization and streaming. It provides a REST API that is similar to OpenAI's to make it easy to migrate and cross test them. RayLLM supports multiple LLM backends out of the box, including vLLM and TensorRT-LLM.

cog-comfyui
Cog-comfyui allows users to run ComfyUI workflows on Replicate. ComfyUI is a visual programming tool for creating and sharing generative art workflows. With cog-comfyui, users can access a variety of pre-trained models and custom nodes to create their own unique artworks. The tool is easy to use and does not require any coding experience. Users simply need to upload their API JSON file and any necessary input files, and then click the "Run" button. Cog-comfyui will then generate the output image or video file.

cog-comfyui
Cog-ComfyUI is a tool designed to run ComfyUI workflows on Replicate. It allows users to easily integrate their own workflows into their app or website using the Replicate API. The tool includes popular model weights and custom nodes, with the option to request more custom nodes or models. Users can get their API JSON, gather input files, and use custom LoRAs from CivitAI or HuggingFace. Additionally, users can run their workflows and set up their own dedicated instances for better performance and control. The tool provides options for private deployments, forking using Cog, or creating new models from the train tab on Replicate. It also offers guidance on developing locally and running the Web UI from a Cog container.

dravid
Dravid (DRD) is an advanced, AI-powered CLI coding framework designed to follow user instructions until the job is completed, including fixing errors. It can generate code, fix errors, handle image queries, manage file operations, integrate with external APIs, and provide a development server with error handling. Dravid is extensible and requires Python 3.7+ and CLAUDE_API_KEY. Users can interact with Dravid through CLI commands for various tasks like creating projects, asking questions, generating content, handling metadata, and file-specific queries. It supports use cases like Next.js project development, working with existing projects, exploring new languages, Ruby on Rails project development, and Python project development. Dravid's project structure includes directories for source code, CLI modules, API interaction, utility functions, AI prompt templates, metadata management, and tests. Contributions are welcome, and development setup involves cloning the repository, installing dependencies with Poetry, setting up environment variables, and using Dravid for project enhancements.

aiac
AIAC is a library and command line tool to generate Infrastructure as Code (IaC) templates, configurations, utilities, queries, and more via LLM providers such as OpenAI, Amazon Bedrock, and Ollama. Users can define multiple 'backends' targeting different LLM providers and environments using a simple configuration file. The tool allows users to ask a model to generate templates for different scenarios and composes an appropriate request to the selected provider, storing the resulting code to a file and/or printing it to standard output.

slack-bot
The Slack Bot is a tool designed to enhance the workflow of development teams by integrating with Jenkins, GitHub, GitLab, and Jira. It allows for custom commands, macros, crons, and project-specific commands to be implemented easily. Users can interact with the bot through Slack messages, execute commands, and monitor job progress. The bot supports features like starting and monitoring Jenkins jobs, tracking pull requests, querying Jira information, creating buttons for interactions, generating images with DALL-E, playing quiz games, checking weather, defining custom commands, and more. Configuration is managed via YAML files, allowing users to set up credentials for external services, define custom commands, schedule cron jobs, and configure VCS systems like Bitbucket for automated branch lookup in Jenkins triggers.

CLI
Bito CLI provides a command line interface to the Bito AI chat functionality, allowing users to interact with the AI through commands. It supports complex automation and workflows, with features like long prompts and slash commands. Users can install Bito CLI on Mac, Linux, and Windows systems using various methods. The tool also offers configuration options for AI model type, access key management, and output language customization. Bito CLI is designed to enhance user experience in querying AI models and automating tasks through the command line interface.

neo4j-genai-python
This repository contains the official Neo4j GenAI features for Python. The purpose of this package is to provide a first-party package to developers, where Neo4j can guarantee long-term commitment and maintenance as well as being fast to ship new features and high-performing patterns and methods.

smartcat
Smartcat is a CLI interface that brings language models into the Unix ecosystem, allowing power users to leverage the capabilities of LLMs in their daily workflows. It features a minimalist design, seamless integration with terminal and editor workflows, and customizable prompts for specific tasks. Smartcat currently supports OpenAI, Mistral AI, and Anthropic APIs, providing access to a range of language models. With its ability to manipulate file and text streams, integrate with editors, and offer configurable settings, Smartcat empowers users to automate tasks, enhance code quality, and explore creative possibilities.

Discord-AI-Selfbot
Discord-AI-Selfbot is a Python-based Discord selfbot that uses the `discord.py-self` library to automatically respond to messages mentioning its trigger word using Groq API's Llama-3 model. It functions as a normal Discord bot on a real Discord account, enabling interactions in DMs, servers, and group chats without needing to invite a bot. The selfbot comes with features like custom AI instructions, free LLM model usage, mention and reply recognition, message handling, channel-specific responses, and a psychoanalysis command to analyze user messages for insights on personality.

OpenAI-sublime-text
The OpenAI Completion plugin for Sublime Text provides first-class code assistant support within the editor. It utilizes LLM models to manipulate code, engage in chat mode, and perform various tasks. The plugin supports OpenAI, llama.cpp, and ollama models, allowing users to customize their AI assistant experience. It offers separated chat histories and assistant settings for different projects, enabling context-specific interactions. Additionally, the plugin supports Markdown syntax with code language syntax highlighting, server-side streaming for faster response times, and proxy support for secure connections. Users can configure the plugin's settings to set their OpenAI API key, adjust assistant modes, and manage chat history. Overall, the OpenAI Completion plugin enhances the Sublime Text editor with powerful AI capabilities, streamlining coding workflows and fostering collaboration with AI assistants.

wcgw
wcgw is a shell and coding agent designed for Claude and Chatgpt. It provides full shell access with no restrictions, desktop control on Claude for screen capture and control, interactive command handling, large file editing, and REPL support. Users can use wcgw to create, execute, and iterate on tasks, such as solving problems with Python, finding code instances, setting up projects, creating web apps, editing large files, and running server commands. Additionally, wcgw supports computer use on Docker containers for desktop control. The tool can be extended with a VS Code extension for pasting context on Claude app and integrates with Chatgpt for custom GPT interactions.

SWELancer-Benchmark
SWE-Lancer is a benchmark repository containing datasets and code for the paper 'SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?'. It provides instructions for package management, building Docker images, configuring environment variables, and running evaluations. Users can use this tool to assess the performance of language models in real-world freelance software engineering tasks.

bia-bob
BIA `bob` is a Jupyter-based assistant for interacting with data using large language models to generate Python code. It can utilize OpenAI's chatGPT, Google's Gemini, Helmholtz' blablador, and Ollama. Users need respective accounts to access these services. Bob can assist in code generation, bug fixing, code documentation, GPU-acceleration, and offers a no-code custom Jupyter Kernel. It provides example notebooks for various tasks like bio-image analysis, model selection, and bug fixing. Installation is recommended via conda/mamba environment. Custom endpoints like blablador and ollama can be used. Google Cloud AI API integration is also supported. The tool is extensible for Python libraries to enhance Bob's functionality.

vectara-answer
Vectara Answer is a sample app for Vectara-powered Summarized Semantic Search (or question-answering) with advanced configuration options. For examples of what you can build with Vectara Answer, check out Ask News, LegalAid, or any of the other demo applications.
For similar tasks

claude-debugs-for-you
Claude Debugs For You is an MCP Server and VS Code extension that enables interactive debugging and evaluation of expressions with Claude or other LLM models. It is language-agnostic, requiring debugger console support and a valid launch.json for debugging in VSCode. Users can download the extension from releases or VS Code Marketplace, install it, and access commands through the status menu item 'Claude Debugs For You'. The tool supports debugging setups using stdio or /sse, and users can follow specific setup instructions depending on their configuration. Once set up, users can debug their code by interacting with the tool, which provides suggestions and fixes for identified issues.

pytensor
PyTensor is a Python library that allows one to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It provides the computational backend for `PyMC
For similar jobs

sweep
Sweep is an AI junior developer that turns bugs and feature requests into code changes. It automatically handles developer experience improvements like adding type hints and improving test coverage.

teams-ai
The Teams AI Library is a software development kit (SDK) that helps developers create bots that can interact with Teams and Microsoft 365 applications. It is built on top of the Bot Framework SDK and simplifies the process of developing bots that interact with Teams' artificial intelligence capabilities. The SDK is available for JavaScript/TypeScript, .NET, and Python.

ai-guide
This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.

classifai
Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.

chatbot-ui
Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.

BricksLLM
BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students

uAgents
uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.

griptape
Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.