Local Code Indexing for Cursor is an experimental Python-based server that locally indexes codebases using ChromaDB. It provides a semantic search tool via an MCP server for tools like Cursor.
Local Code Indexing for Cursor is an experimental Python-based server that locally indexes codebases using ChromaDB. It provides a semantic search tool via an MCP server for tools like Cursor.
Clone the repository, set up your environment variables, and start the server using Docker.Add this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"local-code-indexing-for-cursor": {
"command": "npx",
"args": [
"-y",
"Clone the repository, set up your environment variables, and start the server using Docker."
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from Local Code Indexing for Cursor?"
No configuration required. This server works out of the box.
"What resources are available in Local Code Indexing for Cursor?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in Local Code Indexing for Cursor"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in Local Code Indexing for Cursor with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
See what tools in your stack can connect to AI.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.