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docs: Mention repo directories in intro
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README.md

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# Model Context Protocol (MCP) Agent Frameworks Demo
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This repository demonstrates the usage of Model Context Protocol (MCP) servers with several frameworks:
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This repository demonstrates LLM Agents using tools from Model Context Protocol (MCP) servers with several frameworks:
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- Google Agent Development Kit (ADK)
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- LangGraph Agents
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- OpenAI Agents
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- Pydantic-AI Agents
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Included MCP Server is based on [MCP Python SDK Quickstart](https://github.com/modelcontextprotocol/python-sdk/blob/b4c7db6a50a5c88bae1db5c1f7fba44d16eebc6e/README.md?plain=1#L104)
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Both single and multiple MCP server examples are demonstrated
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- [Agent with a single MCP server](agents_mcp_usage/basic_mcp/README.md)
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- [Agent with multiple MCP servers](agents_mcp_usage/multi_mcp/README.md)
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- Also includes Agent evaluations
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The repo also includes a Python MCP Server [`run_server.py`](run_server.py) based on [MCP Python SDK Quickstart](https://github.com/modelcontextprotocol/python-sdk/blob/b4c7db6a50a5c88bae1db5c1f7fba44d16eebc6e/README.md?plain=1#L104)
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- Modified to include a datetime tool and run as a server invoked by Agents
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Tracing is done through Pydantic Logfire.

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