Overview
Vectorize MCP Server is a Model Context Protocol (MCP) server implementation that integrates with Vectorize for advanced vector retrieval and text extraction. It enables developers to run a local or cloud MCP server that connects to a Vectorize pipeline by supplying the Vectorize organization ID, API token, and pipeline ID. The README provides installation options: running with NPX, VS Code one-click install, and manual JSON-based configuration for VS Code or other environments. The server exposes tools for three core capabilities: retrieve documents via vector search; text extraction and chunking (Any file to Markdown); and private Deep Research through Vectorize pipelines. These tools rely on Vectorize APIs for retrieval, extraction, and deep research endpoints (see official APIs). The configuration sections show how to wire environment variables and command arguments in Claude/Windsurf/Cursor/Cline and VS Code settings. The development section outlines npm install and npm run dev for local development. This MCP server is designed for advanced retrieval and document processing workflows that require private, pipeline-backed insights.
Features
Retrieve documents
Perform vector search and retrieve documents via the Vectorize API.
Text extraction and chunking (Any file to Markdown)
Extract text from documents and chunk into Markdown format using Vectorize.
Deep Research
Generate a Private Deep Research from your Vectorize pipeline.
Who Is This For?
- Developers:Build MCP servers integrating Vectorize for retrieval and extraction workflows.
- Data scientists:Leverage Vectorize MCP for private research and large-scale document retrieval.
- DevOps:Configure MCP deployments in VS Code and various cloud environments.




