vectorize-mcp-server

Overview

The Vectorize MCP Server is a well-implemented JavaScript server that provides three main tools: document retrieval through vector search, text extraction and chunking from various file formats, and deep research capabilities. It integrates with the Vectorize platform, requiring API credentials for configuration. The server offers comprehensive documentation with installation instructions for multiple environments including VS Code and various AI clients.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• retrieve

  Perform vector search and retrieve documents

  Try:Find documents about financial health of the companyTry:Search for information about machine learning techniques
• extract

  Extract text from a document and chunk it into Markdown format

  Try:Extract text from this PDF documentTry:Convert this document to Markdown format
• deep-research

  Generate a Private Deep Research from your pipeline

  Try:Generate a financial status report about the companyTry:Research the latest developments in artificial intelligence

Comparable tools

Installation

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

{
  "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"
      }
    }
  }
}

FAQ

What file formats can the extract tool handle?

The extract tool can handle any file format that Vectorize supports, with the contentType parameter specifying the format (e.g., application/pdf for PDF files).

Do I need an account with Vectorize to use this MCP server?

Yes, you need a Vectorize account with organization ID, API token, and pipeline ID configured as environment variables.

Compare vectorize-mcp-server with