grepai

It uses vector embeddings to understand code meaning, enabling natural language queries that find relevant code—even when naming conventions vary. It drastically reduces AI agent input tokens by providing relevant context instead of raw search results.

{
  "mcpServers": {
    "grepai": {
      "args": [
        "-y",
        "@modelcontextprotocol/server-grepai"
      ],
      "command": "npx"
    }
  }
}