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 metadataConfigurable vector dimensions
Text metadata support
Efficient similarity search capabilities
API Endpoints
Table Management
POST /table
Create a new vector table
Input:
{ "name": "my_table", # Table name "dimension": 768 # Vector dimension }
Vector Operations
POST /table/{table_name}/vector
Add vector data to a table
Input:
{ "vector": [0.1, 0.2, ...], # Vector data "text": "associated text" # Metadata }
POST /table/{table_name}/search
Search for similar vectors
Input:
{ "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.
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
Enables efficient vector database operations for embedding storage and similarity search through a Model Context Protocol interface.
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