mcp-core
core utilities and tools for model context protocol
claude mcp add --transport stdio thinkbigcd-mcp-core python -m mcp_core \ --env PYTHONUNBUFFERED="1"
How to use
mcp-core is a simple MCP server built around the mcp_core package. It exposes a basic entry point through a Python module, allowing you to invoke the server workflow by running the module directly. To use it, first install the dependencies, then run the module to start the server logic in memory. The primary entry is the main.run() function within mcp_core, which you can call from your own code if you need to integrate or extend behavior. This setup is ideal for quick local experiments or as a lightweight starting point for custom MCP tooling driven by the mcp_core library.
How to install
Prerequisites:
- Python 3.8+ (or a compatible Python environment)
- Pip (usually comes with Python)
Install and run:
- Create and activate a virtual environment (optional but recommended):
python -m venv venv
# On macOS/Linux
source venv/bin/activate
# On Windows
venv\Scripts\activate
- Install dependencies from requirements.txt:
pip install -r requirements.txt
- Run the MCP server module:
python -m mcp_core
Note: If the package exposes a more explicit entry point or script in the future, you can adjust the command accordingly. The README implies a straightforward module-based usage via mcp_core.
Additional notes
Environment considerations:
- If your application relies on specific environment variables for MCP behavior, set them before running the module (the minimal setup here uses Python's standard I/O buffering optimization via PYTHONUNBUFFERED=1).
- This project appears to be a lightweight or educational MCP server; for production-like usage, consider wrapping the module in a process manager and ensuring proper logging, error handling, and graceful shutdown.
- If you need to customize behavior, you can extend or replace the mcp_core module and import its main.run() as needed in your own scripts.
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