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code-rag: Semantic Code Search MCP Server

Search your codebase using natural language. Built as an MCP server for AI coding assistants.

MCP Server ChromaDB RAG

What It Does

code-rag is a semantic code search engine that lets you query code with natural language:

"how are users fetched from the database"
"feature flag check pattern"
"authentication middleware"

Instead of exact keyword matching, it understands the meaning of your query and finds relevant code.

Features

Feature

Description

Natural Language Search

Query code semantically

Related Files

Find files semantically related to a given file

Context Expansion

Get surrounding code for search results

Multi-Repo Support

Index multiple repositories

MCP Protocol

Works with Claude, OpenCode, and other MCP clients

Local Execution

100% local - your code never leaves your machine

MCP Tools

Tool

Description

search_code

Search code with natural language

find_related

Find files related to a given file

get_context

Expand context around a search result

index_stats

View indexing statistics

Installation

cd code-rag
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Configure repos in config.yaml, run the indexer, then start the server:

./run-indexer.sh
python3 server.py

Requirements

  • Python 3.10+

  • ChromaDB

  • MCP-compatible client

License

MIT

F
license - not found
-
quality - not tested
C
maintenance

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