MCP_testing
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP_testingcreate a new blog post titled 'My First Post'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Testing Project
This project demonstrates a simple client-server setup using the fastmcp library for Model Context Protocol (MCP) communication. It includes:
A server that exposes tools and resources via MCP (see
server/server.pyandserver/mcp_blog_server.py)A client that connects to the server, lists available tools, and calls a sample tool (see
client/client.py)
Advanced Example: Blog MCP Server
The file server/mcp_blog_server.py demonstrates advanced MCP server features:
Dynamic Resources: Exposes blog posts, single post, and category-based resources with caching and templates.
Complex Tools: Tools for creating posts, publishing workflows, batch tag updates, and searching posts with parameter validation and caching.
Caching: Uses
cachetools.TTLCachefor efficient response caching.Tool Chaining: Implements multi-step workflows (e.g., publishing a post and notifying subscribers).
Asynchronous Operations: Batch operations and async processing for scalability.
To run the advanced blog server:
uv run fastmcp run server/mcp_blog_server.pyYou can then connect with a compatible MCP client to interact with the blog tools and resources.
Related MCP server: FastMCP Training Course Server
Project Structure
MCP_testing/
│
├── main.py
├── pyproject.toml
├── README.md
├── server.json
├── client/
│ └── client.py
├── server/
│ ├── server.py
│ └── mcp_blog_server.py
└── ...Requirements
Install dependencies:
uv pip install fastmcpRunning the Server
From the project root, run:
uv run fastmcp run server/server.pyThis will start the MCP server. Make sure the server is running before starting the client.
Running the Client
The client reads the MCP server URL from server.json and connects to it, listing available tools and calling the get_weather tool as an example.
From the client directory, run:
uv run client.pyConfiguration
The server.json file should look like this:
{
"mcpServers": {
"weather-mcp": {
"url": "http://127.0.0.1:8000/sse",
"transport": "sse"
}
}
}Example Output
✅ Connected to MCP server!
• get_weather: Get the weather for a city
Result: { ... }Notes
The client and server are both written in Python and use the
fastmcplibrary for communication.You can add more tools to the server and call them from the client as needed.
For more information, see the fastmcp documentation or the code in client/client.py, server/server.py, and server/mcp_blog_server.py.
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