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LanceDB MCP Server

@vurtnec

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

vurtnec

提交者

Zachary Hou

关于 LanceDB MCP Server

LanceDB MCP Server nodejs

#lancedb#vector-search#nodejs

LanceDB MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "lanceDB": {
      "command": "node",
      "args": [
        "/path/to/lancedb-node/dist/index.js",
        "--db-path",
        "/path/to/your/lancedb/storage"
      ]
    }
  }
}

LanceDB MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is LanceDB?

LanceDB is a Node.js MCP server that connects to a LanceDB database and performs vector similarity search using Ollama’s embedding model. It is intended for developers who want to integrate vector search into AI workflows or build retrieval-augmented generation (RAG) applications.

How to use LanceDB?

Install dependencies with pnpm install, then run the vector search test script using pnpm test-vector-search or node test-vector-search.js. To use as an MCP service with Claude Desktop, add the provided JSON configuration to your MCP settings, replacing the paths with your actual installation and storage directories.

Key features of LanceDB

  • Connects to a LanceDB database for vector storage
  • Custom embedding function using Ollama’s nomic-embed-text model
  • Performs vector similarity search against stored documents
  • Processes and displays search results with similarity scores
  • Integrates with Claude Desktop as an MCP service
  • Uses 768‑dimensional embeddings

Use cases of LanceDB

  • Searching a document collection for semantically similar passages
  • Building a RAG pipeline with local embeddings and vector storage
  • Demonstrating vector search integration with Ollama and LanceDB

常见问题

1

What are the prerequisites to run LanceDB?

Node.js v14 or later, Ollama running locally with the `nomic-embed-text` model, and a LanceDB storage location with read/write permissions.

2

How do I configure LanceDB for Claude Desktop?

Add the following to your MCP configuration JSON, replacing the paths with your actual locations: ```json { "mcpServers": { "lanceDB": { "command": "node", "args": ["/path/to/lancedb-node/dist/index.js", "--db-path", "/path/to/your/lancedb/storage"] } } } ```

3

What embedding model does LanceDB use, and what are its dimensions?

It uses Ollama’s `nomic-embed-text` model, which produces embeddings with 768 dimensions.

4

Where is the vector data stored?

Data is stored in the LanceDB directory specified by the `--db-path` argument in the MCP configuration (or the default path used in the test script).

5

What dependencies does LanceDB require?

The project depends on `@lancedb/lancedb` (LanceDB client), `apache-arrow`, and `node-fetch` for making API calls to Ollama.

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