Frequently Asked Questions (FAQ) about FastMCP Todo Server

Q: What is FastMCP? A: MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. It allows AI models to access and interact with external data sources and tools.

Q: What is the purpose of the FastMCP Todo Server? A: The FastMCP Todo Server receives todo requests via FastMCP and stores them in MongoDB for processing. It’s designed to work with the Swarmonomicon project.

Q: What are the key features of the FastMCP Todo Server? A: Key features include FastMCP server functionality, MongoDB integration for todo storage, compatibility with the Swarmonomicon todo worker, and a Python-based implementation.

Q: How do I install the FastMCP Todo Server? A: You can install it by cloning the repository, installing uv (if not already installed), creating and activating a virtual environment with uv, and installing dependencies with uv.

Q: How do I start the FastMCP Todo Server? A: You can start the server by running the command python -m src.Omnispindle in your terminal.

Q: How can I add todos to the server? A: You can add todos using FastMCP with a Python client or directly via MQTT.

Q: What is Swarmonomicon? A: Swarmonomicon is a project that provides task management and distribution, agent-based task processing, real-time updates via MQTT, and integration with various AI models.

Q: What database does the FastMCP Todo Server use? A: The server uses MongoDB to store todo requests.

Q: Is the FastMCP Todo Server open source? A: Yes, the FastMCP Todo Server is licensed under the MIT License.

Q: How can I contribute to the project? A: You can contribute by forking the repository, creating a feature branch, making your changes, adding tests, and submitting a pull request.