About mcp-server-test
The README only shows steps to initialize a Python weather project with uv and install the MCP and httpx dependencies. It does not describe the server's capabilities or intended use.
Key features
- 01Initialize a Python project with uv
- 02Install mcp[cli] and httpx dependencies
Use cases
- 01Create a weather project directory
- 02Install dependencies for MCP server development
MCP support
The README shows installing `mcp[cli]` and creating a server file, but does not describe the server's tools or client-facing capabilities.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEmcp-server-test
Create a new directory for our project
uv init weather cd weather
Create virtual environment and activate it
uv venv .venv\Scripts\activate
Install dependencies
uv add mcp[cli] httpx
Create our server file
new-item weather.py
Comments
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.