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vectorize-io

Vectorize

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by vectorize-io
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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

Related MCP server: @sanderkooger/mcp-server-ragdocs

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

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Maintenance

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Resources

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