About
A TypeScript-based MCP server that organizes personal and team tasks with natural language processing, smart date handling, and timestamped comments. It integrates seamlessly with Claude Desktop for conversational task management.
Capabilities
Overview
The AGC Todo MCP Server is a lightweight, production‑ready Model Context Protocol (MCP) service that transforms natural language task management into a structured, AI‑friendly workflow. It bridges Claude Desktop with a persistent todo database, enabling users to create, update, and query tasks using plain English while maintaining a clean, tabular representation of work. This server solves the common pain point of juggling disparate task lists and fragmented communication by centralizing all task data in a single, AI‑accessible source.
At its core, the server exposes a set of intuitive commands—, , , , and —that map directly to everyday task‑management actions. Each command accepts natural language arguments, allowing developers to embed task commands in Claude prompts without needing to learn a new syntax. The server’s smart date parsing understands phrases like “tomorrow,” “12th Sep,” or “today and tomorrow,” automatically normalizing them into ISO timestamps. This eliminates manual date entry errors and ensures consistent filtering across queries.
Key features include:
- Smart Task Organization: Three logical views (, , ) keep personal, collaborative, and archived tasks distinct yet accessible.
- Simple Integer IDs: Tasks are referenced by sequential numbers, making it effortless to mention “task 3” in a conversation.
- Rich Comment History: Every update is timestamped, creating a transparent audit trail that Claude can surface in replies.
- Professional Table Display: The server returns tasks as well‑formatted tables, enabling Claude to embed clean, readable summaries directly in chat.
Real‑world scenarios that benefit from this MCP server include personal productivity workflows where a user wants to quickly add a deadline‑driven todo, team coordination sessions that require pulling all tasks assigned to a particular member, and status‑report generation where an AI assistant can pull completed items or upcoming deadlines. By integrating with Claude Desktop, developers can build custom prompts that trigger the server’s commands and receive structured responses without leaving the chat interface.
What sets the AGC Todo MCP Server apart is its blend of simplicity and intelligence. The natural language parsing reduces friction for end users, while the tabular output ensures that developers can programmatically parse and display data in downstream applications. Its configuration flexibility—supporting command‑line arguments or environment variables for custom storage paths—makes it adaptable to both local prototypes and production deployments. In short, this MCP server turns Claude into a smart task‑management companion that scales from solo use to team collaboration.
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