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LanceDB MCP Server

by RyanLisse
README.md2 kB
# 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 ```bash # Clone the repository git clone https://github.com/yourusername/lancedb_mcp.git cd lancedb_mcp # Install dependencies using uv uv pip install -e . ``` ## Usage with Claude Desktop ```bash # Add the server to your claude_desktop_config.json "mcpServers": { "lancedb": { "command": "uv", "args": [ "run", "python", "-m", "lancedb_mcp", "--db-path", "~/.lancedb" ] } } ``` ## Development ```bash # Install development dependencies uv pip install -e ".[dev]" # Run tests pytest # Format code black . ruff . ``` ## 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.

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