Zammo supports Model Context Protocol (MCP)—a powerful new standard that allows Large Language Model (LLM) agents to dynamically interact with external data sources in real time. Think of MCP as an API-like interface specifically designed for LLMs, enabling your AI agents to retrieve accurate, up-to-date information directly from authoritative sources.
🔍 What Is MCP?
Model Context Protocol is a standardized method for enabling LLMs to query structured data endpoints. MCP lets your AI agents connect to and extract information from knowledge-rich systems—such as documentation sites, product catalogs, or help desks—without requiring complex integrations.
For example, Microsoft has made its documentation available via MCP at:
**https://learn.microsoft.com/api/mcp**
With MCP support, your Zammo Agent can tap into this knowledge base in real time to provide answers directly from Microsoft’s official docs.
🧠 Use Case Example
Let’s walk through a practical scenario using Zammo Agent Designer.
Goal:
Create a support agent that can answer questions about Microsoft products by retrieving answers from Microsoft’s official documentation.
Steps:
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Open Agent Designer
Start by creating a new agent or editing an existing one.
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Define Your Intent in Natural Language
Example prompt:
“I want to create an agent to help users with Microsoft documentation queries. Use the MCP server https://learn.microsoft.com/api/mcp.”
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Access the Advanced Tab
Navigate to the Advanced tab and confirm the MCP server was correctly added as a data source.
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Test in the Simulator
Ask a question like:
“Can you tell me how to query SharePoint APIs?”
Your agent will respond with accurate information retrieved from the Microsoft Docs site, including links to the relevant documentation pages.
🌐 Explore Hundreds of MCP Servers
There are many MCP-compatible data sources available for integration. Explore and discover new ones at: