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Vectorize MCP Server

@vectorize-io

代码仓库

基本信息

分类

其他

许可证

MIT license

传输方式

stdio

作者

vectorize-io

关于 Vectorize MCP Server

Official Vectorize MCP Server

#vectorize#mcp-server#text-extraction

Vectorize 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": {
    "vectorize-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@vectorize-io/vectorize-mcp-server@latest"
      ]
    }
  }
}

Vectorize 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。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Vectorize MCP Server?

Vectorize MCP Server is a Model Context Protocol (MCP) server that integrates with Vectorize for advanced vector retrieval, text extraction, and deep research from your Vectorize pipelines.

How to use Vectorize MCP Server?

Install and run via npx with three environment variables: VECTORIZE_ORG_ID, VECTORIZE_TOKEN, and VECTORIZE_PIPELINE_ID. Invoke the MCP server, then use its tools (retrieve, extract, deep-research) to query, extract, or generate research from your pipeline.

Key features of Vectorize MCP Server

  • Perform vector search and retrieve relevant documents.
  • Extract text from documents and chunk into Markdown.
  • Generate private deep research from your pipeline.
  • One-click install for VS Code (stable and Insiders).
  • Supports configuration in Claude, Windsurf, Cursor, and Cline.

Use cases of Vectorize MCP Server

  • Query a company's financial health via vector retrieval.
  • Extract and chunk a PDF document into Markdown.
  • Generate a financial status report by deep research with web search.
  • Build AI agents that can search and reason over private Vectorize data.

常见问题

1

What tools does Vectorize MCP Server provide?

Three tools: `retrieve` for vector search, `extract` for text extraction and chunking to Markdown, and `deep-research` for generating private deep research from your pipeline.

2

What dependencies or runtime does Vectorize MCP Server require?

It runs via npx (Node.js) and requires a Vectorize organization ID, token, and pipeline ID set as environment variables.

3

Where does data live when using Vectorize MCP Server?

Data is stored in your Vectorize pipeline; the server queries and extracts from your existing pipeline data.

4

How do I authenticate to Vectorize MCP Server?

Authentication is handled through the `VECTORIZE_ORG_ID`, `VECTORIZE_TOKEN`, and `VECTORIZE_PIPELINE_ID` environment variables.

5

What transports does Vectorize MCP Server use?

The server uses standard MCP transport (stdio) and is launched via npx. No network transport is specified beyond the MCP protocol.

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