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MCP Agents Overview

MCP agents connect your Vectorize pipelines directly to AI desktop tools like Claude Desktop, Claude Code, Cursor, and other MCP-compatible applications. Access your data and functions where you already work - in your IDE, writing tools, and AI assistants.

What is an MCP Agent?​

An MCP agent integrates your Vectorize pipelines into existing AI tools through the Model Context Protocol. Your data becomes available as native tools within applications you already use for development and writing.

When to Use MCP Agents​

Choose MCP agents when you want to:

  • Enhance AI coding assistants with your codebase knowledge
  • Add domain expertise to Claude Desktop or similar tools
  • Avoid context switching by keeping data access in your workflow
  • Provide specialized functions beyond simple retrieval

Key Concepts​

MCP Functions​

Functions are the building blocks of MCP agents. Each function:

  • Performs a specific retrieval or action
  • Can have parameters for filtering
  • Maps to tools in your AI assistant

Example functions:

  • search-docs - Search technical documentation
  • find-customer-data - Query customer records with filters
  • get-code-examples - Retrieve relevant code snippets

Connection Methods​

Vectorize provides two ways to connect MCP agents:

  1. Remote MCP (Recommended) - Vectorize's hosted server

    • No infrastructure to manage
    • Scales automatically
    • Instant updates when you change agent configuration

  2. Local MCP Server - Run your own server

    • For development environments
    • Air-gapped or high-security requirements
    • Full control over the connection

Most users choose Remote MCP for its simplicity and reliability.

Next Steps​

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