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Markjukerburg
- python
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python
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5 months ago
First Indexed
2 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"markjukerburg-mcp-": {
"command": "uv",
"args": [
"mcp",
"dev",
"server.py"
]
}
}
}You can manage and run an MCP server for Python projects using a lightweight command-line flow. This approach helps you prototype, test, and interact with the Model Context Protocol from your local environment with reproducible steps.
How to use
To operate the MCP server from your project, start by running the MCP development workflow through your command line. This lets you launch the server, connect an MCP client, and perform interactions that exercise model-context capabilities.
uv mcp dev server.py
How to install
Set up a new, uv-managed project and add MCP tooling so you can start the MCP CLI and run the server locally.
uv init mcp-server-demo
cd mcp-server-demo
uv add "mcp[cli]"
Additional usage notes
When you want to interact with the MCP tooling from the project, you can install the server script and run development commands from the CLI. This lets you iterate on the server behavior and test with an MCP client or the built-in inspector.
uv run mcp
uv mcp install server.py
uv mcp dev server.py
Available tools
init_project
Create a new uv-managed project with a scaffold suitable for MCP work.
add_mcp_cli
Add the MCP CLI tooling to your project so you can run MCP commands from the terminal.
run_cli
Launch the MCP command-line interface workflow to start development tools.
install_server
Install the MCP server script into the local project environment for development testing.
dev_server
Run the MCP server in development mode to interact with clients and inspectors.