This FastMCP-based Todo Server, developed for the Swarmonomicon project, receives todo requests via FastMCP and stores them in MongoDB. It integrates with the Swarmonomicon todo worker, providing a Python-based implementation for task management and distribution. The server offers features like adding todos with priorities and target agents, querying todos with filters and projections, and supports real-time updates via MQTT, making it suitable for AI-driven task automation and collaborative workflows.
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Create new tasks with metadata. Parameters: description (string), project (string), priority (string), target_agent (optional string), metadata (optional object)
Search and filter tasks. Parameters: query_or_filter (string), fields_or_projection (optional string), limit (optional integer)
Modify existing tasks. Parameters: todo_id (string), updates (object)
Complete tasks. Parameters: todo_id (string)
Get tasks by project. Parameters: project (string), limit (optional integer)
Capture lessons learned. Parameters: lesson_details (object)
Query knowledge base. Parameters: query (string), limit (optional integer)
Send real-time messages. Parameters: topic (string), message (string)
Retrieve MQTT messages. Parameters: topic (string), limit (optional integer)
