F
licenseNot graded
qualityD
maintenanceAn MCP server that transforms codebases into intelligent, queryable knowledge bases, enabling AI assistants to perform semantic search, explore architecture, and analyze code relationships.
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code2prompt-mcp
by ODAncona
Allows analyzing Git-based codebases to generate structured summaries and contextual prompts for AI assistants to better understand repositories
Enables working with GitHub repositories by extracting relevant code context and producing optimized summaries for AI consumption
Leverages the code2prompt-rs Rust library to analyze codebases and produce structured summaries optimized for AI assistants
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@code2prompt-mcpanalyze the current directory and create a prompt for understanding the project structure"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
Related MCP server: Code Understanding MCP Server
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 buildIt 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.mainLicense
MIT License - See LICENSE file for details.
Development
For testing, you can use the MCP Inspector:
npx @modelcontextprotocol/inspector python -m code2prompt_mcp.mainTool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
No tool schema history has been recorded yet.
This server cannot be installed
Maintenance
ActivityInactive
ResponsivenessNo issues
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