code-rag
A semantic code search MCP server that enables natural language queries against your codebase, supporting features like related file discovery and context expansion, all running locally.
README
code-rag: Semantic Code Search MCP Server
Search your codebase using natural language. Built as an MCP server for AI coding assistants.
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
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