Simple MCP Client / Server
Description
# Simple MCP Client / Server https://modelcontextprotocol.io/quickstart/server Install [uv](https://docs.astral.sh/uv/getting-started/installation/), on macOS and Linux. ```sh $ curl -LsSf https://astral.sh/uv/install.sh | sh ``` Then git clone the repo. ## MCP Server (stdio)…
About
# Simple MCP Client / Server https://modelcontextprotocol.io/quickstart/server Install [uv](https://docs.astral.sh/uv/getting-started/installation/), on macOS and Linux. ```sh $ curl -LsSf https://astral.sh/uv/install.sh | sh ``` Then git clone the repo. ## MCP Server (stdio) ``` uv init mcp_server cd mcp_server/ uv…
Details
- Author
- tikoehle
- Downloads
- 97
- Categories
- Other
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- Provides two weather tools: forecast and alerts.
- Supports both stdio and SSE transport.
- Includes a client that connects to the server.
- Testable via VSCode/Cline or MCP Inspector.
- Uses uv for dependency management and execution.
- Designed as a quickstart example for MCP development.
Install uv and then clone the repository. Create an MCP server project with uv init mcp_server, add dependencies (mcp[cli] and httpx), and write a Python server file. Start the server with uv run weather_stdio.py. Run the client with uv run client_stdio.py ../mcp_server/weather_stdio.py. Test with VSCode/Cline or MCP Inspector.
Simple MCP Client / Server
https://modelcontextprotocol.io/quickstart/serverInstall uv, on macOS and Linux.
$ curl -LsSf https://astral.sh/uv/install.sh | sh
Then git clone the repo.
MCP Server (stdio)
uv init mcp_server
cd mcp_server/
uv run main.py # just to create the .venv, then rm the main.py
uv add "mcp[cli]" httpx # MCP server Python lib
touch weather_stdio.py # STDIO server implementation
Start the server
mcp_server$ uv run weather_stdio.py
Test with VSCode + Cline
Add MCP server to Cline.Cline -> MCP Servers (icon close to '+') -> Installed -> Add
You get a json template "mcpServers": {} and you add the new server.
Here is the cline_mcp_settings.json:
{
"mcpServers": {
"weather": {
"command": "uv",
"args": [
"--directory",
"/home/users/tikoehle/mcp_server",
"run",
"weather_stdio.py"
]
}
}
}
=> Cline shows the 2 get_* Tools functions. Click 'Done' to return to Cline Task input trying the new server.
Test
Type a task calling the two tools: "Can you tell me the weather forecast for San Francisco, CA" "Can you tell me the weather alerts for San Francisco, CA"=> uses my two new MCP 'weather' server tools.
Note:
Local MCP servers should not log messages to stdout because this will interfere with protocol operation.
MCP Client
https://modelcontextprotocol.io/quickstart/clientuv init mcp_client
cd mcp_client/
uv run main.py # create venv
uv add mcp
touch client_stdio.py # MCP client impl.
Run the client
uv run client.py path/to/server.pymcp_client$ uv run client_stdio.py ../mcp_server/weather_stdio.py
MCP Inspector
Installation Node.js
On the MCP server compute, get ``Node.js` (Current) for `Linux` using `nvm` with `npm`. https://nodejs.org/en/download
``cd $HOME
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