Vectorize MCP Server

Name: Vectorize MCP Server
Author: vectorize-io

@vectorize-io

代码仓库

关于 Vectorize MCP Server

Official Vectorize MCP Server

#vectorize #mcp-server #text-extraction

基本信息

分类

其他

许可证

MIT license

运行时

node

传输方式

stdio

发布者

vectorize-io

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"
      ]
    }
  }
}

工具

未检测到工具

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 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.

FAQ from Vectorize MCP Server

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.

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.

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.

How do I authenticate to Vectorize MCP Server?

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

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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