Official Vectorize MCP Server – integrates Vectorize.io APIs with the Model Context Protocol for vector search, extraction and deep-research tools.
https://github.com/vectorize-io/vectorize-mcp-serverStop wrestling with document formats and manual research. The official Vectorize MCP Server transforms your AI assistant into a sophisticated research tool that can search through your documents, extract text from any file format, and generate comprehensive research reports—all through simple MCP integration.
You're probably doing this: manually converting PDFs to text, copying and pasting content into chat interfaces, or spending hours sifting through documents to find relevant information. Then you're asking your AI assistant to work with incomplete context because you can't efficiently feed it your entire knowledge base.
The Vectorize MCP Server fixes this by giving your AI assistant direct access to three game-changing capabilities that work together seamlessly.
Vector Search That Actually Works Ask questions in natural language and get precise answers from your document collections. No more keyword hunting or manual document scanning. Your AI assistant can now search through thousands of documents and return exactly what's relevant to your query.
# Your AI can now do this automatically:
"Find all mentions of budget overruns in Q3 financial reports"
# Returns: Ranked results with context from your documents
Universal Document Processing Upload any file format—PDFs, Word docs, presentations, images with text—and get clean Markdown output ready for AI processing. This isn't just OCR; it's intelligent extraction that maintains document structure and context.
# From this: messy_financial_report.pdf
# To this: Clean, structured Markdown with headers, tables, and context preserved
Deep Research on Steroids Generate comprehensive research reports that combine your private documents with web search results. It's like having a research assistant that knows your internal docs and can supplement them with current web information.
Internal Knowledge Search Point your AI assistant at your company's document repository. Instantly search through years of reports, policies, and documentation with natural language queries. No more "I know we documented this somewhere" moments.
Document Processing Pipeline Drop any document into your workflow and get structured, AI-ready content. Perfect for processing contracts, research papers, or client documents without manual reformatting.
Competitive Intelligence Combine your internal market research with live web data to generate comprehensive competitive analysis reports. Your AI assistant pulls from both your proprietary research and current market information.
Technical Documentation Helper Ask complex questions about your codebase documentation, API specs, or technical manuals. Get precise answers with source citations instead of generic responses.
One-Click VS Code Installation Click the install button in the README, enter your Vectorize credentials, and you're done. The MCP server integrates directly with your existing AI assistant setup.
Command Line Setup
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
Works With Your Existing Stack Integrates seamlessly with Claude, Cursor, Windsurf, Cline, and any MCP-compatible AI assistant. No workflow changes required—just enhanced capabilities.
This isn't another vector database wrapper. Vectorize.io specializes in enterprise-grade document intelligence, and this MCP server gives you direct access to their production APIs. You get:
Add the server to your MCP configuration and start using it immediately. No complex setup, no additional dependencies, no architectural changes. Your AI assistant gains these capabilities through standard MCP tool calls—it's as natural as asking it to read a file or search the web.
The server handles authentication, rate limiting, and error handling automatically. You focus on building; it handles the infrastructure concerns.
Your AI assistant is about to become significantly more useful. Instead of working with limited context and manual document processing, you'll have a research powerhouse that can instantly access and analyze your entire knowledge base.
The difference between browsing documents manually and having an AI assistant that can intelligently search and synthesize information from thousands of sources is the difference between working harder and working smarter.