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Vectorize

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by vectorize-io
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JavaScript
MIT License
17
92
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  • Linux
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矢量化 MCP 服务器

模型上下文协议 (MCP) 服务器实现与Vectorize集成，用于高级向量检索和文本提取。

安装

使用 npx 运行

export VECTORIZE_ORG_ID=YOUR_ORG_ID export VECTORIZE_TOKEN=YOUR_TOKEN export VECTORIZE_PIPELINE_ID=YOUR_PIPELINE_ID npx -y @vectorize-io/vectorize-mcp-server@latest

Claude/Windsurf/Cursor/Cline 上的配置

{ "mcpServers": { "vectorize": { "command": "npx", "args": ["-y", "@vectorize-io/vectorize-mcp-server@latest"], "env": { "VECTORIZE_ORG_ID": "your-org-id", "VECTORIZE_TOKEN": "your-token", "VECTORIZE_PIPELINE_ID": "your-pipeline-id" } } } }

工具

检索文档

执行向量搜索并检索文档（参见官方API ）：

{ "name": "retrieve", "arguments": { "question": "Financial health of the company", "k": 5 } }

文本提取和分块（任何文件到 Markdown）

从文档中提取文本并将其分块为 Markdown 格式（请参阅官方API ）：

{ "name": "extract", "arguments": { "base64document": "base64-encoded-document", "contentType": "application/pdf" } }

深入研究

从您的管道生成私人深度研究（请参阅官方API ）：

{ "name": "deep-research", "arguments": { "query": "Generate a financial status report about the company", "webSearch": true } }

发展

npm install npm run dev

贡献

  1. 分叉存储库
  2. 创建你的功能分支
  3. 提交拉取请求
Deploy Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

对 MCP 服务器进行矢量化，以进行高级检索、私人深度研究、任何内容到 Markdown 文件提取和文本分块。

  1. 安装
    1. 使用 npx 运行
  2. Claude/Windsurf/Cursor/Cline 上的配置
    1. 工具
      1. 检索文档
      2. 文本提取和分块（任何文件到 Markdown）
      3. 深入研究
    2. 发展
      1. 贡献

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