#planning

A minimal but better Canvas LMS MCP (Machine Conversation Protocol) server for easy access to education data through your Canvas LMS instance. This server provides a bridge between AI systems (like Cursor) and Canvas Learning Management System.

This project provides a modular Python wrapper for the SNCF API, with an MCP server interface that integrates seamlessly with Claude Desktop for intelligent journey planning and train information retrieval across France.

The MCP server for interacting with Blockchain, Swaps, Strategic Planning and more.

An MCP server allowing LLMs to interact with Ansys/AGI STK - Digital Mission Engineering Software

A comprehensive Model Context Protocol (MCP) server that integrates Sunsama's daily planning and task management capabilities into AI assistants. Provides full CRUD operations for tasks, enabling automated workflow management and productivity optimization through the Sunsama API. Key features: Task Management: Create, read, update, and delete tasks with notes, time estimates, due dates, and stream assignments Daily Planning: View tasks by specific day with completion filtering and access backlog tasks Task Operations: Mark tasks complete with custom timestamps, reschedule tasks, or move items to backlog User & Organization: Access user profile, timezone, group details, and stream/channel management Flexible Transport: Supports both stdio and HTTP stream MCP transports Easy Setup: Use directly with npx mcp-sunsama or install locally for development Perfect for building AI-powered productivity workflows, automated task management, and custom interfaces that sync with your Sunsama workspace.

The pre.dev MCP Server is an MCP endpoint that plugs into AI coding agents and IDEs (Cursor, Claude Code, VS Code, Windsurf) to replace lightweight planning modes with production-ready specification generation. It outputs enterprise-grade architecture (APIs, DB schemas, component hierarchy) and step-by-step implementation roadmaps via two tools—fast_spec for quick MVPs and deep_spec for comprehensive systems—so agents can reliably plan and build complex, multi-file projects.