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Model Context Protocol Demo

by digital-duck
Apache 2.0
1
  • Linux
README.md2.83 kB
# Model Context Protocol (MCP) ## Modelcontextprotocol.io - [docs](https://modelcontextprotocol.io/introduction) - [Building effective agents](https://www.anthropic.com/engineering/building-effective-agents) - [python-sdk source](https://github.com/modelcontextprotocol/python-sdk) ## Reference Implementations ### FastMCP - [source](https://github.com/jlowin/fastmcp) - [fork](git@github.com:wgong/fastmcp.git) : (~/projects/wgong/MCP/fastmcp) - [docs](https://gofastmcp.com/getting-started/welcome) A high-level, fast, Pythonic way to build MCP servers and clients ```bash # install pip install fastmcp # verify version fastmcp version FastMCP version: 2.5.2 MCP version: 1.9.2 Python version: 3.13.2 Platform: Linux-6.8.0-60-generic-x86_64-with-glibc2.35 FastMCP root path: ~/anaconda3/envs/mcp/lib/python3.13/site-packages # dev install git clone https://github.com/jlowin/fastmcp.git cd fastmcp uv sync ``` ### Fast Agent - [source](https://github.com/evalstate/fast-agent) - [fork](https://github.com/wgong/fast-agent) : (~/projects/wgong/MCP/fast-agent) - [story](https://llmindset.co.uk/resources/fast-agent/) A framework with complete, end-to-end tested MCP Feature support including Sampling, which helps create and interact with sophisticated Agents and Workflows in minutes. Both Anthropic (Haiku, Sonnet, Opus) and OpenAI models (gpt-4o/gpt-4.1 family, o1/o3 family) are supported ## Demos ### FastMCP A `fastmcp` tutorial - MCP server: - `mcp_server.py`: collection of tools/resources like calculator, trigonometry function, yahoo finance API call - MCP clients: - `mcp_client_simple.py`: simple client with rule-based query parsing - `mcp_client_llm.py`: client with LLM-based query parsing - `mcp_client_llm_resource.py`: client with LLM parsing and calling tool/resource (see `readme_tool_resource.md` for details) see [readme_gemini.md](https://github.com/digital-duck/mcp_demo/blob/main/readme_gemini.md) for more details #### Setup ```bash conda create -n mcp conda activate mcp git clone https://github.com/digital-duck/mcp_demo.git cd mcp_demo/fastmcp pip install -r requirements.txt # in 1st terminal python mcp_server.py # in 2nd terminal python mcp_client_llm_resource.py # python mcp_client_simple.py # python mcp_client_llm.py ``` #### Streamlit MCP app see `fastmcp/README.md` ```bash streamlit run st_mcp_rag.py ``` #### FastMCP - AWS **To Be Built** see [readme_aws.md](https://github.com/digital-duck/mcp_demo/blob/main/readme_aws.md) for more details ### MCP SDK see `mcp_sdk` sub-folder **To Be Verified**

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