MikeRecognex

MikeRecognex / mcp-codebase-index

Public

17 MCP query tools for codebase navigation — functions, classes, imports, dependency graphs, change impact. Zero dependencies. 87% token reduction.

ai-coding ast-parser claude-code code-analysis code-navigation
34
5
100% credibility
Found Feb 18, 2026 at 15 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This tool scans code projects to map out functions, classes, imports, and dependencies, providing query features for AI assistants to navigate code efficiently.

How It Works

1
📰 Discover the code mapper

While using AI helpers for coding, you learn about a tool that creates a smart map of your project's structure so the AI understands it better.

2
📦 Add the tool

You easily add this helper to your computer with a quick setup that takes just moments.

3
📁 Point to your project

You simply tell the tool which folder holds your code project, and it scans everything inside.

4
🚀 Start the mapper

With one easy launch, the tool builds a clear map of functions, classes, and connections in your code – fast and automatic!

5
🔗 Link to your AI buddy

You connect this map to your favorite AI coding assistant, like Claude, so it gains superpowers for your project.

6
💬 Query your code smartly

Now your AI can instantly find functions, trace changes, or search without getting lost in files.

🎉 Code like a pro

You get lightning-fast insights into your codebase, making development smoother, safer, and way more fun.

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Star Growth

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AI-Generated Review

What is mcp-codebase-index?

mcp-codebase-index is a Python MCP server that indexes your codebase for structural navigation, extracting functions, classes, imports, dependency graphs, and change impacts across Python, TypeScript/JS, and Markdown files. It exposes 17 MCP query tools—like get_project_summary, find_symbol, get_change_impact, and get_call_chain—for AI clients such as Claude Code or GitHub Copilot in VSCode/IntelliJ to fetch precise info without loading full files, slashing token use by 87%. Run it via PROJECT_ROOT=/path mcp-codebase-index or integrate into OpenClaw/Claude Code configs for instant codebase indexing mcp server access.

Why is it gaining traction?

Unlike LSPs, which stick to point queries and require per-language servers, this delivers transitive dependency analysis and file-level import graphs in single MCP calls, perfect for mcp data query in AI workflows. Zero runtime dependencies mean it just works—no heavy binaries—and programmatic APIs let you query indexes directly for custom mcp query examples or mcp query parameters. Devs dig the token efficiency for mcp github copilot vscode setups or mcp github n8n automation.

Who should use this?

Backend Python devs building mcp github python tools or mcp github server integrations. Frontend TS/JS teams using mcp github copilot intellij for refactor impact checks. AI agents handling mcp github issues, mcp github project manager tasks, or mcp query db in Copilot Studio/Kusto query mcp server scenarios.

Verdict

Early alpha (12 stars, 1.0% credibility) with solid docs and PyPI packaging, but test it on small projects first—reindexing large ones takes seconds. Worth adopting if you're in the MCP ecosystem for claude code codebase indexing mcp; skip for production without commercial license.

(198 words)

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