code2prompt-mcp
Public
Generates contextual prompts from codebases using high-performance analysis to provide structured summaries optimized for AI assistants under the Model Context Protocol.
python
Generates contextual prompts from codebases using high-performance analysis to provide structured summaries optimized for AI assistants under the Model Context Protocol.
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An MCP server that generates contextual prompts from codebases, making it easier for AI assistants to understand and work with your code repositories.
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.
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.
Run the MCP server:
rye run python code2prompt_mcp.main
MIT License - See LICENSE file for details.
For testing, you can use the MCP Inspector:
npx @modelcontextprotocol/inspector python -m code2prompt_mcp.main
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