mcpfs

mcpfs is a Python-based MCP (Model Context Protocol) server that provides a core implementation for running MCP-compliant services. The repository exposes a package named mcpfs which includes core functionality such as core.run() to execute the MCP server workflow. To use it, import the core module from mcpfs and invoke core.run() as shown in the usage example. This server is designed to plug into environments that leverage the MCP standard, allowing you to process model context requests and manage context-based interactions within your application.

Prerequisites:

• Python 3.8+ (recommended)
• pip (usually bundled with Python)

Installation steps:

1. Clone the repository or download the package: git clone https://github.com/your-org/mcpfs.git cd mcpfs

2. (Optional but recommended) Create a virtual environment: python -m venv venv source venv/bin/activate # On Windows: .\venv\Scripts\activate

3. Install dependencies listed in requirements.txt: pip install -r requirements.txt

4. Run the module as an MCP server: python -m mcpfs

5. If you need to install from a local path or a package index, you can use: pip install -e . # from the repository root

Note: The README indicates installation via a requirements file, so ensure that file exists and is up to date with the environment you plan to run in.

Tips and common considerations:

• Ensure your Python environment uses a compatible version of Python as required by mcpfs.
• After installation, the server is typically started by executing the module as a script, e.g., python -m mcpfs.
• If you plan to deploy in production, consider using a virtual environment or containerization to isolate dependencies.
• The README provides a minimal usage example; the core.run() function is the primary entry point for executing MCP tasks. Explore the mcpfs.core module for additional capabilities and configuration options.
• Since no environment variables are specified in the basic README, you may need to set variables for logging, endpoints, or authentication depending on your deployment environment.