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vectorize-io

Vectorize

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MCP 서버 벡터화

고급 벡터 검색 및 텍스트 추출을 위해 Vectorize 와 통합된 MCP(Model Context Protocol) 서버 구현입니다.

설치

npx로 실행

지엑스피1

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

Claude/Windsurf/Cursor/Cline 구성

{
  "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"
      }
    }
  }
}

도구

문서 검색

벡터 검색을 수행하고 문서를 검색합니다(공식 API 참조):

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

텍스트 추출 및 청킹(모든 파일을 마크다운으로)

문서에서 텍스트를 추출하여 Markdown 형식으로 묶습니다(공식 API 참조):

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

심층 연구

파이프라인에서 개인 심층 연구를 생성합니다(공식 API 참조):

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

개발

npm install
npm run dev

기여하다

  1. 저장소를 포크하세요

  2. 기능 브랜치를 생성하세요

  3. 풀 리퀘스트 제출

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Maintenance

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Resources

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