Vectorize MCP Server

A Model Context Protocol (MCP) server implementation that integrates with Vectorize for advanced Vector retrieval and text extraction.

Installation

Running with npx

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: Scrapezy

Configuration on Claude/Windsurf/Cursor/Cline

{ "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" } } } }

Tools

Retrieve documents

Perform vector search and retrieve documents (see official API):

{ "name": "retrieve", "arguments": { "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):

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

Deep Research

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 } }

Development

npm install npm run dev

Contributing

Fork the repository
Create your feature branch
Submit a pull request

Deploy Server

A

security – no known vulnerabilities

A

license - permissive license

A

quality - confirmed to work

How are these scores calculated?

Resources

Need Help?

Report Issue

Reddit Discussion

Related Servers

Vectorize