# code-indexer MCP server

> Enables AI clients to perform semantic, full-text, and structural code searches across repositories using vector embeddings and SCIP indexes.

- Repository: https://github.com/LightspeedDMS/code-indexer
- Page: https://hostedmcp.org/servers/lightspeeddms/code-indexer
- Transport: —
- Stars: 1
- License: MIT

## Environment variables

| Name | Required | Secret | Description |
|---|---|---|---|
| `VOYAGE_API_KEY` | no | no |  |

## FAQ

### What kind of searches can I perform?

You can perform semantic, full-text, regex, and hybrid searches, as well as git history searches and structural AST searches.

### Does it require Docker or containers?

No, everything is stored in the project's local directory and nothing runs in a container.

### Which embedding providers are supported?

The tool supports VoyageAI and Cohere for embedding generation.

### Can I use this with Claude Desktop?

Yes, it provides an MCP endpoint specifically for AI assistants like Claude Desktop.