Transforms complex codebases into structured summaries optimized for language models through an MCP server, facilitating better code understanding and analysis workflows. Directly relevant as an MCP server.
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Category: Repository Code Analysis MCP Servers
Tags: mcp, code-analysis, summarization, language-models
Code2prompt is an MCP server designed to generate contextual and structured summaries from complex codebases. It facilitates the integration of code repositories with language models, optimizing them for better understanding and analysis workflows by AI assistants.
code2prompt-rs Rust library for code analysis.pyproject.toml.MIT License
https://github.com/odancona/code2prompt-mcp
No pricing information is provided; the project is open source under the MIT License.