Model Context Protocol Agent Frameworks

Example Use Cases

• 1

  Integrate with multiple LLM frameworks using a standardized protocol

• 2

  Access to modular tools and resources like arithmetic operations and time queries

• 3

  Perform advanced multi-server coordination and benchmarking with rich tracing and evaluation

Description

This MCP server offers a standardized interface for LLM agents to access tools such as addition and current time retrieval, as well as dynamic resources like greetings. It supports integration with multiple agent frameworks including Google ADK, LangGraph, OpenAI Agents, and Pydantic-AI. The server enables modular, scalable, and specialized multi-MCP setups, facilitating benchmarking and evaluation of LLMs with rich metrics and tracing via Logfire.