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Todo Assistant MCP Server

MCP Server

AI‑powered todo & calendar management with MCP integration

Stale(50)
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Updated Mar 19, 2025

About

This server offers a natural language interface for managing todos and syncing them with Google Calendar, leveraging OpenAI’s GPT‑3.5 Turbo and the Model Context Protocol for structured tool interactions.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Todo Assistant Main Screen

The Mcp Server Openai Chat is a purpose‑built Model Context Protocol (MCP) server that powers an AI‑driven todo and calendar assistant. By exposing a small, well‑defined set of MCP tools—such as adding or completing tasks and creating calendar events—it allows a Claude‑style assistant to interact with persistent data in a secure, declarative manner. Developers can plug this server into any MCP‑compatible workflow and instantly give their AI the ability to manage tasks, sync with Google Calendar, and enforce a fine‑grained approval process for sensitive actions.

The server’s core value lies in bridging conversational AI with real‑world data stores. Instead of writing custom code to parse natural language and update a database, an assistant can simply call the exposed tools. The MCP interface guarantees that tool inputs and outputs are typed, so the assistant’s internal state remains consistent. This reduces errors, improves reliability, and accelerates feature delivery for developers who want to add task management or calendar integration without building REST APIs from scratch.

Key capabilities include:

  • Natural‑language todo manipulation – add, list, toggle, and delete tasks through simple conversational commands.
  • Google Calendar sync – create events that mirror todo items, complete with date and time parsing.
  • Tool approval workflow – sensitive operations (e.g., calendar creation) must be approved by a human or an automated policy before execution.
  • Multi‑language support – the assistant can understand and respond in both English and Turkish, widening accessibility.
  • Persistent storage – a lightweight SQLite backend ensures data durability across restarts.
  • Health and discovery endpoints and let clients discover available tools and verify server uptime.

Typical use cases are found in productivity apps, meeting‑planning assistants, or any scenario where an AI needs to manipulate user tasks and calendar entries. For example, a developer could embed the MCP server into a Slack bot that lets users say “Schedule my next meeting” and have the assistant automatically create both a todo item and a Google Calendar event, all while respecting approval rules. In enterprise settings, the approval mechanism can be wired to a workflow engine or policy service, ensuring compliance with data‑handling regulations.

Integration is straightforward for MCP‑aware clients: the assistant sends a JSON payload to , receives typed responses, and can chain tool calls as needed. The server’s design promotes composability—multiple tools can be invoked in a single conversation turn, and the assistant can query the tool list to discover new capabilities without code changes. This flexibility makes the Mcp Server Openai Chat a compelling choice for developers looking to enrich AI assistants with reliable, data‑centric actions while maintaining clear governance and security.