LanceDB MCP Server
Overview
A Model Context Protocol (MCP) server implementation for LanceDB vector database operations. This server enables efficient vector storage, similarity search, and management of vector embeddings with associated metadata.
Components
Resources
The server exposes vector database tables as resources:
- `table://{name}`: A vector database table that stores embeddings and metadata - Configurable vector dimensions - Text metadata support - Efficient similarity search capabilities
API Endpoints
Table Management
- `POST /table` - Create a new vector table - Input: ```python { "name": "my_table", # Table name "dimension": 768 # Vector dimension } ```
Vector Operations
- `POST /table/{table_name}/vector` - Add vector data to a table - Input: ```python { "vector": [0.1, 0.2, ...], # Vector data "text": "associated text" # Metadata } ```
- `POST /table/{table_name}/search` - Search for similar vectors - Input: ```python { "vector": [0.1, 0.2, ...], # Query vector "limit": 10 # Number of results } ```
Installation
Usage with Claude Desktop
Development
Environment Variables
- `LANCEDB_URI`: Path to LanceDB storage (default: ".lancedb")
License
This project is licensed under the MIT License. See the LICENSE file for details.