Vectorize

Official

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Integrations

  • Supports text extraction and chunking of documents into Markdown format

Vectorize MCP Server

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

Features

Installation

Running with npx

export VECTORIZE_ORG_ID=YOUR_ORG_ID export VECTORIZE_TOKEN=YOUR_TOKEN npx -y @vectorize-io/vectorize-mcp-server

Configuration on Claude/Windsurf

{ "mcpServers": { "vectorize": { "command": "npx", "args": ["-y", "@vectorize-io/vectorize-mcp-server"], "env": { "VECTORIZE_ORG_ID": "your-org-id", "VECTORIZE_TOKEN": "your-token" } } } }

Tools

Retrieve documents

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

{ "name": "retrieve", "arguments": { "pipeline": "your-pipeline-id", "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": { "pipelineId": "your-pipeline-id", "query": "Generate a financial status report about the company", "webSearch": true } }

Development

# Install dependencies npm install # Build npm run build

Contributing

  1. Fork the repository
  2. Create your feature branch
  3. Submit a pull request

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A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.

  1. Features
    1. Installation
      1. Running with npx
      2. Configuration on Claude/Windsurf
        1. Tools
          1. Retrieve documents
            1. Text extraction and chunking (Any file to Markdown)
              1. Deep Research
              2. Development
                1. Contributing