README.md•2.83 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**