A Model Context Protocol (MCP) server implementation that integrates with Vectorize for advanced Vector retrieval and text extraction.
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
{ "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" } } } }
Perform vector search and retrieve documents (see official API):
{ "name": "retrieve", "arguments": { "question": "Financial health of the company", "k": 5 } }
Extract text from a document and chunk it into Markdown format (see official API):
{ "name": "extract", "arguments": { "base64document": "base64-encoded-document", "contentType": "application/pdf" } }
Generate a Private Deep Research from your pipeline (see official API):
{ "name": "deep-research", "arguments": { "query": "Generate a financial status report about the company", "webSearch": true } }
npm install npm run dev
- Fork the repository
- Create your feature branch
- Submit a pull request