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Code2prompt Mcp

@ODAnconaon 9 months ago
10 MIT
FreeCommunity
AI Systems
An MCP server that generates contextual prompts from codebases for AI assistants.

Overview

What is Code2prompt Mcp

code2prompt-mcp is an MCP server that generates contextual prompts from codebases, facilitating AI assistants’ understanding and interaction with code repositories.

Use cases

Use cases include generating documentation from code, assisting developers with code comprehension, and enhancing AI model training with relevant code context.

How to use

To use code2prompt-mcp, clone the repository, install dependencies using Rye, and run the server with the command ‘rye run python code2prompt_mcp.main’.

Key features

Key features include leveraging the code2prompt-rs Rust library for high-performance code analysis, producing structured summaries, and optimizing context extraction for AI models.

Where to use

code2prompt-mcp can be used in software development, AI-assisted coding environments, and any scenario where understanding code context is essential for AI applications.

Content

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code2prompt-mcp

An MCP server that generates contextual prompts from codebases, making it easier for AI assistants to understand and work with your code repositories.

About

code2prompt-mcp leverages the high-performance code2prompt-rs Rust library to analyze codebases and produce structured summaries. It helps bridge the gap between your code and language models by extracting relevant context in a format that’s optimized for AI consumption.

Installation

This project uses Rye for dependency management, make sure you have it installed.

To install the necessary dependencies, and build the module in the local environment, run:

# Clone the repository
git clone https://github.com/odancona/code2prompt-mcp.git
cd code2prompt-mcp

# Install dependencies with Rye
rye build

It will install all the required dependencies specified in the pyproject.toml file in the .venv directory.

Usage

Run the MCP server:

rye run python code2prompt_mcp.main

License

MIT License - See LICENSE file for details.

Development

For testing, you can use the MCP Inspector:

npx @modelcontextprotocol/inspector python -m code2prompt_mcp.main

Tools

No tools

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