How do I install the dependencies?
Run `pip install -r requirements.txt` inside a Python virtual environment. The required packages are `mcp` and `python-dotenv`.
@dazzaji
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-client-server-dazzaji": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Run the MCP Client is a Python client for testing a Model Context Protocol (MCP) filesystem server. It connects to a running server, lists available tools, and invokes them—defaulting to a write_file call that creates a test file. It is aimed at developers who want to verify their MCP server setup.
Create a virtual environment, install dependencies (mcp, python-dotenv), and set up a .env file with the server path and allowed directory. Run python client.py to execute the default tool (write_file). Optionally pass a specific tool and arguments via CLI flags --tool and --args.
.env or command‑line arguments.Run `pip install -r requirements.txt` inside a Python virtual environment. The required packages are `mcp` and `python-dotenv`.
Set the `TOOL` and `ARGS` environment variables in `.env`, or pass them as `--tool` and `--args` when running `python client.py`.
If no tool is specified, it calls `write_file` to create `test.txt` with the content “Hello from Python the new standup MCP client!” in the allowed directory.
Yes. The client expects an MCP filesystem server (e.g., the Node.js server from the referenced repository) to be started and listening on the path specified in `SERVER_PATH`.
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This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
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Model Context Protocol Servers
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