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.
@vectorize-io
基本情報
Official Vectorize MCP Server
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"vectorize-mcp-server": {
"command": "npx",
"args": [
"-y",
"@vectorize-io/vectorize-mcp-server@latest"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
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.
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.
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.
It runs via npx (Node.js) and requires a Vectorize organization ID, token, and pipeline ID set as environment variables.
Data is stored in your Vectorize pipeline; the server queries and extracts from your existing pipeline data.
Authentication is handled through the `VECTORIZE_ORG_ID`, `VECTORIZE_TOKEN`, and `VECTORIZE_PIPELINE_ID` environment variables.
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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