Code retrieval engine — hybrid embedding + graph search for LLM context injection.
Project description
codebase-retrieval-context-engine
Code retrieval engine for LLM context via MCP.
Add to Claude Code
claude mcp add-json codebase-retrieval --scope user '{"type":"stdio","command":"uvx","args":["codebase-retrieval-context-engine"],"env":{"CORBELL_LLM_PROVIDER":"google","GOOGLE_API_KEY":"your-google-api-key","GOOGLE_MODEL":"gemini-3.1-flash-lite","CORBELL_EMBEDDING_MODEL":"voyage-4-lite","VOYAGE_API_KEY":"your-voyage-api-key"}}'
That's it. The AI agent passes workspace path and triggers index builds automatically.
Remove from Claude Code
claude mcp remove codebase-retrieval --scope user
After adding, you can also edit or remove the MCP config directly in ~/.claude.json.
Environment variables
| Variable | Description |
|---|---|
CORBELL_LLM_PROVIDER |
LLM provider for reranking (google, anthropic, openai) |
GOOGLE_API_KEY |
Google AI API key (supports multiple: key1,key2,key3) |
GOOGLE_MODEL |
e.g. gemini-3.1-flash-lite |
CORBELL_EMBEDDING_MODEL |
voyage-4-lite, voyage-code-3, or gemini-embedding-001 |
VOYAGE_API_KEY |
Voyage AI API key (supports multiple: key1,key2,key3). Add a card to billing to unlock rate limits. |
License
Apache 2.0
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