What are the prerequisites to run Cursor History MCP π?
You need Docker, Python 3.8 or higher, FastAPI, LanceDB, and Ollama installed.
@Nossim
Basic information
API service to search vectorized Cursor IDE chat history using LanceDB and Ollama
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"Cursor-history-MCP": {
"command": "docker",
"args": [
"build",
"-t",
"cursor-history-mcp",
"."
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Cursor History MCP is an API service that enables vectorized search through chat history from the Cursor IDE. It uses LanceDB for vector storage and Ollama for local LLM processing, and is designed for self-hosted deployment.
Clone the repository, build the Docker image (docker build -t cursor-history-mcp .), and run the container (docker run -p 8000:8000 cursor-history-mcp). Access the API documentation at http://localhost:8000/docs. Use the POST /search endpoint to query chat history and GET /history to retrieve all records.
You need Docker, Python 3.8 or higher, FastAPI, LanceDB, and Ollama installed.
Clone the repository, build the Docker image, and run the container. See the Getting Started section for exact commands.
Send a POST request to the `/search` endpoint with a JSON body containing your query string.
Send a GET request to the `/history` endpoint to get the full list of chat messages.
The service is self-hosted, meaning you can run it locally or on your own server, keeping your data under your control.
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