Which integrations are available for this server?

Provides reusable prompts and conventions for Python development using uv, helping AI coding tools maintain consistent project standards and environment configurations.

How do I use mcp-hub?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@mcp-hub apply the dev_python_uv coding conventions" 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-hub

A self-hosted remote MCP server that provides reusable prompts and conventions across AI tools.

Structure

modules/ └── dev/ └── python.py # Python/uv conventions → prompt: dev_python_uv

Each domain is a subfolder under modules/. Each file exposes a router (a FastMCP instance) that gets mounted in main.py.

Configuration

Copy .env.example to .env and adjust as needed:

MCP_HOST=0.0.0.0 MCP_PORT=8080

Run

uv run main.py

Connect

Add as an MCP server in your AI tool using:

Transport: Streamable HTTP
URL: http://<host>:<port>/mcp

Deploy on Linux

Option 1 — screen (recommended): lets you detach and reattach to the session anytime.

screen -S mcp-hub uv run main.py # Ctrl+A then D to detach # Reattach later: screen -r mcp-hub

Option 2 — nohup: fire-and-forget, no reattach.

nohup uv run main.py > mcp-hub.log 2>&1 & echo $! > mcp-hub.pid # save PID to stop it later kill $(cat mcp-hub.pid) # stop

Add a new module

Create modules/<domain>/<topic>.py with a router = FastMCP(...) and @router.prompt functions
Mount it in main.py: mcp.mount(router, namespace="<domain>")

Prompts are namespaced as <namespace>_<prompt_name> (e.g. dev_python_uv). Personal MCP server hub — extensible context and conventions for AI coding tools