A lightweight MCP server that provides cross-project progress tracking tools (list, refresh, read, update, mark) for agents to query and manage work status across multiple tracked projects.
MCP server for agentic task orchestration and management, enabling AI agents to create goals, plan tasks with acceptance criteria, track dependencies, request human input, and provide proof of completion.
A reference implementation demonstrating proper MCP server patterns with HTTP transport, featuring session management, progress notifications, and example tools for testing server functionality. Serves as a clean template for building MCP servers with streamable responses and comprehensive error handling.
MCP server that allows AI agents to read and update project progress across different AI coding tools and sessions, maintaining a single source of truth in a PROGRESS.md file.