Overview

Title

Vectorize MCP Server

How to Use

• Install via npx or VS Code one-click installation.
• Configure environment variables (VECTORIZE_ORG_ID, VECTORIZE_TOKEN, VECTORIZE_PIPELINE_ID).
• Manual setup options for VS Code and other editors (Claude, Windsurf, Cursor, Cline).

Key Features

• Vector Retrieval: Perform vector searches and retrieve documents.
• Text Extraction: Convert files to Markdown with chunking.
• Deep Research: Generate detailed reports using pipeline data.
• Easy Integration: Supports VS Code and other development environments.

Use Cases

• Document retrieval for AI-assisted research.
• Automated text extraction from PDFs and other file formats.
• Advanced query-based research using vectorized data.
• Seamless integration with development workflows.