TasksForge
Bridges AI coding agents with Tasksforge.ai to provide dynamic project context and manage implementation progress.
About
This project offers a Model Context Protocol (MCP) server designed to connect AI coding agents like Cline or Claude Desktop with the Project Management AI Assistant tasksforge.ai. It enables AI agents to efficiently fetch comprehensive project details—including requirements, user stories, and dependencies—and then supports incremental implementation of user stories while persisting progress. By caching project context locally and tracking completion history, it streamlines the AI-assisted development workflow, reducing redundant API calls and maintaining an up-to-date project state for continuous sessions.
Key Features
- State Persistence
- Organized Workflow
- Local Caching
- 0 GitHub stars
- Dynamic Context Injection
Use Cases
- Integrating AI coding agents with project management platforms
- Persisting AI agent progress on user story implementation
- Automating project context retrieval for AI agents
Sponsored