About Introduction To MCP
Introduction To MCP is an MCP server in the Search category: this repository serves as a comprehensive guide to understanding and utilizing the Model Context Protocol (MCP) in AI applications. Below, you will find an overview of the course content, objectives, and links to additional resources.
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Install
git clone https://github.com/LiteObject/introduction-to-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
Introduction to MCP
A minimal MCP server and client example demonstrating basic calculator operations using both SSE and stdio transports.
Installation
To install all packages from your requirements.txt file using pip, you can use the following command in your terminal:
pip install -r requirements.txt
Running the Server
Make sure you have installed the mcp package. You can do this by running the following command in your terminal:
pip install mcp[cli]
Then, you can run the server.py script using the following command:
mcp dev server.py
You can also run the script using Python directly:
python server.py
Use python server.py for normal execution. Use mcp dev server.py for development with hot-reloading and a better developer experience.
Important Note
When you run
mcp dev server.py, you are starting the MCP Inspector and its proxy server, not your FastMCP server directly. The MCP Inspector runs its own proxy (default port 6277) and does not use the port (8050) specified in yourserver.py.
To run your FastMCP server on port 8050 as defined in server.py, you should execute:
python server.py
The mcp dev command is for development and debugging with the MCP Inspector, not for running your server directly on the specified port. If you want to use the Inspector, connect your client to the proxy port (6277). If you want your server to listen on 8050, run it with
python server.py.
Running the Client
STDIO Client
Launches the server as a subprocess and connects to it using the stdio transport. This is useful for testing and debugging.
python client_stdio.py
SSE Client
Connects to the server using the sse transport. This is useful for real-time updates and notifications.
python client_sse.py
Links
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