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vectorize-io

Vectorize

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by vectorize-io
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Vectorize MCP サーバー

高度なベクター検索とテキスト抽出のためにVectorizeと統合されたモデル コンテキスト プロトコル (MCP) サーバー実装。

インストール

npxで実行

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 の設定

{
  "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"
      }
    }
  }
}

ツール

ドキュメントを取得する

ベクトル検索を実行し、ドキュメントを取得します (公式APIを参照)。

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

テキスト抽出とチャンク化（任意のファイルを Markdown に変換）

ドキュメントからテキストを抽出し、それを Markdown 形式にまとめます (公式APIを参照)。

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

深い研究

パイプラインからプライベート ディープ リサーチを生成します (公式APIを参照)。

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

発達

npm install
npm run dev

貢献

  1. リポジトリをフォークする

  2. 機能ブランチを作成する

  3. プルリクエストを送信する

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Maintenance

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ResponsivenessUnresponsive

Resources

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