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LanceDB MCP Server

by RyanLisse
GitHub
Python
3
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LanceDB MCP 服务器

概述

用于 LanceDB 向量数据库操作的模型上下文协议 (MCP) 服务器实现。该服务器支持高效的向量存储、相似性搜索以及向量嵌入与相关元数据的管理。

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资源

服务器将矢量数据库表公开为资源：

  • table://{name} ：存储嵌入和元数据的向量数据库表
    • 可配置向量维度
    • 文本元数据支持
    • 高效的相似性搜索功能

API 端点

表管理
  • POST /table
    • 创建新的向量表
    • 输入：
      { "name": "my_table", # Table name "dimension": 768 # Vector dimension }
向量运算
  • POST /table/{table_name}/vector
    • 向表中添加矢量数据
    • 输入：
      { "vector": [0.1, 0.2, ...], # Vector data "text": "associated text" # Metadata }
  • POST /table/{table_name}/search
    • 搜索相似向量
    • 输入：
      { "vector": [0.1, 0.2, ...], # Query vector "limit": 10 # Number of results }

安装

# Clone the repository git clone https://github.com/yourusername/lancedb_mcp.git cd lancedb_mcp # Install dependencies using uv uv pip install -e .

与 Claude Desktop 一起使用

# Add the server to your claude_desktop_config.json "mcpServers": { "lancedb": { "command": "uv", "args": [ "run", "python", "-m", "lancedb_mcp", "--db-path", "~/.lancedb" ] } }

发展

# Install development dependencies uv pip install -e ".[dev]" # Run tests pytest # Format code black . ruff .

环境变量

  • LANCEDB_URI ：LanceDB 存储路径（默认值：“.lancedb”）

执照

本项目遵循 MIT 许可证。详情请参阅 LICENSE 文件。

This server cannot be installed

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How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

通过模型上下文协议接口实现高效的矢量数据库操作，以实现嵌入存储和相似性搜索。

  1. 概述
    1. 成���
      1. 资源
      2. API 端点
    2. 安装
      1. 与 Claude Desktop 一起使用
        1. 发展
          1. 环境变量
            1. 执照

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