@vectorize-io/vectorize-mcp-server: Vectorize MCP Server
vectorize-io/vectorize-mcp-server
6
Vectorize MCP Server integrates with Vectorize to enable advanced vector retrieval, text extraction, and deep research capabilities via the Model Context Protocol (MCP).
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Author
vectorize-io
README
Vectorize MCP Server
A Model Context Protocol (MCP) server implementation that integrates with Vectorize for advanced Vector retrieval and text extraction.
Features
Installation
Running with npx
bashexport VECTORIZE_ORG_ID=YOUR_ORG_ID export VECTORIZE_TOKEN=YOUR_TOKEN npx -y @vectorize-io/vectorize-mcp-server
Configuration on Claude/Windsurf
json{ "mcpServers": { "vectorize": { "command": "npx", "args": ["-y", "@vectorize-io/vectorize-mcp-server"], "env": { "VECTORIZE_ORG_ID": "your-org-id", "VECTORIZE_TOKEN": "your-token" } } } }
Tools
Retrieve documents
Perform vector search and retrieve documents (see official API):
json{ "name": "retrieve", "arguments": { "pipeline": "your-pipeline-id", "question": "Financial health of the company", "k": 5 } }
Text extraction and chunking (Any file to Markdown)
Extract text from a document and chunk it into Markdown format (see official API):
json{ "name": "extract", "arguments": { "base64document": "base64-encoded-document", "contentType": "application/pdf" } }
Deep Research
Generate a Private Deep Research from your pipeline (see official API):
json{ "name": "deep-research", "arguments": { "pipelineId": "your-pipeline-id", "query": "Generate a financial status report about the company", "webSearch": true } }
Development
bash# Install dependencies npm install # Build npm run build
Contributing
- Fork the repository
- Create your feature branch
- Submit a pull request