Codeturion

Codeturion / codesurface

Public

Give your AI agent instant API lookups instead of expensive source file reads. MCP server for C#, Go, Java, Python, and TypeScript.

www.codeturion.me ai claude code-intelligence csharp cursor
19
1
100% credibility
Found Mar 01, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

codesurface indexes the public structure of codebases in C#, Go, Java, Python, and TypeScript, enabling AI coding tools to retrieve compact API details efficiently.

How It Works

1
🕵️‍♀️ Discover the Helper

You learn about a handy sidekick that helps AI assistants quickly grasp the building blocks of your code project, like classes and methods, without sifting through every file.

2
📥 Add to Your AI Setup

In your favorite AI coding tool's settings, you add one simple entry to bring in this helpful guide.

3
📂 Point to Your Code Folder

You tell the guide exactly where your project's files are located so it can scan and remember the key parts.

4
🔄 Refresh and Note Tips

Restart your AI tool and jot down a short reminder in your project notes about asking the guide for code details first.

5
💡 Ask Smart Questions

Chat with your AI like 'What does MyService offer?' and it pulls precise info on methods, classes, and locations instantly.

🎉 Unlock Code Superpowers

Your AI now gives spot-on answers with exact signatures and line numbers, speeding up your work and cutting out guesswork.

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Star Growth

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AI-Generated Review

What is codesurface?

codesurface is a Python MCP server that indexes your codebase's public API—classes, methods, properties—for C#, Go, Java, Python, and TypeScript at startup. It gives AI agents instant lookups via tools like search by keyword, get_signature, or get_class, skipping expensive full-file reads and saving tokens. Run it with uvx codesurface --project /path/to/src in your .mcp.json for Claude Code, Cursor, or any MCP client; auto-detects languages in mixed projects like Unity or FastAPI.

Why is it gaining traction?

Benchmarks show 44-87% fewer tokens than grep/read agents on repos like VSCode (88k records in 9s) or langchain, with line numbers enabling targeted reads. Incremental reindex on changes or misses keeps it snappy, and FTS5 search handles PascalCase/smoke tests naturally. It's the easy way to give GitHub Copilot context or ChatGPT repo access without dumping full private codebases.

Who should use this?

Backend devs on Java/Go microservices, full-stack teams with TS/Python stacks, or game studios scripting C# in Unity—all using AI tools like Cursor for code exploration. Ideal if agents waste tokens grepping large private repos or hallucinate APIs; give read-only access to your GitHub repo's surface via MCP instead of raw files.

Verdict

Promising alpha for MCP workflows (14 stars, 1% credibility score), with excellent README benchmarks but unproven at scale—test on your repo first. PolyForm Noncommercial license suits personal use; pair with CLAUDE.md instructions for max agent gains.

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