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MCP Tool

The MCP Tool allows Amplifi agents to connect with external systems, APIs, or enterprise data sources via a standardized interface. Amplifi comes with a built-in MCP — Tavily Web Search — already configured and ready to use.

You can also add external MCP tools for your own data pipelines, enterprise search APIs, or logic.


Purpose

The MCP Tool allows you to bring your proprietary data or enterprise logic into agent responses. It acts as a bridge between Amplifi and your custom backend — whether that's a document search API, a ticketing system, or a specialized LLM orchestrator.

This is especially useful when your data is hosted externally or governed by strict access policies, but you still want to expose it securely through a conversational interface.


How It Works

When an agent is equipped with the MCP tool, it can send a query to an external HTTP endpoint along with the conversation context or user input. The external system (your MCP backend) processes the query, performs its logic (e.g., document search, vector search, summarization), and returns a response in a structured format.

Amplifi then renders this response in the conversation — as plain text, formatted cards, charts, or any custom UI defined on your side.

You can configure this via:

  • A secure URL to your backend
  • Optional headers for authentication
  • A flexible response schema expected by Amplifi

Typical Use Cases

  • Internal document search: Query your proprietary vector store and serve results through chat.
  • LLM routing: Use Amplifi as a frontend, and route complex prompts to a backend LLM orchestrator.
  • Custom AI tools: Connect to systems like LangChain agents, knowledge graphs, or structured APIs.
  • Enterprise dashboards: Let agents pull and display live business metrics from internal services.

Best Practices

  • Keep your response payload clean and well-structured.
  • Include context-aware logic in your backend (e.g., summarization, filtering).
  • Use versioned endpoints to support iterative improvements without breaking agents.

The MCP Tool makes Amplifi highly extensible — bringing your own intelligence, data, and APIs into the loop while keeping the UX conversational and seamless.