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Version 4.1 Documentation

Connect your AI or LLM to Zato documentation (MCP)

Your AI copilot or LLM can access the Zato documentation directly to give you super accurate and up to date answers and recommendations about Zato.

  • It'll search current documentation in real-time instead of relying on potentially old LLM training data
  • It'll retrieve and combine the exact content needed to answer your questions
  • You'll get accurate answers about development with Zato, its configuration, architecture, and best practices

Set up

Point your copilot or LLM to this address:


Run this command to add the Zato documentation as an MCP server:

claude mcp add --transport http zato-docs https://zato.io/mcp
  • Go to your account settings and click Add custom connector

  • Set name to Zato Docs
  • Set URL to https://zato.io/mcp

  • Click Configure

  • Let Claude always use all the Zato Docs tools

  • Now, Claude will have live access to Zato documentation to help you with using the platform

Try it

Ask your copilot:

  • "How do I install Zato on Windows? And Mac?"
  • "What's the difference between a channel and an outgoing connection?"
  • "How to query MS SQL Server?"
  • "How do I schedule a service to run every hour?"
  • "What security options are available for REST channels?"

Your copilot or LLM will search the documentation, find the relevant pages, and give you answers based on what Zato actually supports - not what it thinks it might remember from training.

How it works

  • Your copilot or LLM connects to Zato's documentation server using MCP (Model Context Protocol), an open standard for connecting AI assistants to external data sources.

  • When you ask a question, the copilot searches the documentation in real-time and retrieves the relevant content before answering.

  • Remember, you can use any copilot with Zato documentation, just point it to https://zato.io/mcp