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

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.
Related Servers
MarkItDown MCP Server
Convert documents to Markdown for LLMs quickly and accurately
Context7 MCP
Real‑time, version‑specific code docs for LLMs
Playwright MCP
Browser automation via structured accessibility trees
BlenderMCP
Claude AI meets Blender for instant 3D creation
Pydantic AI
Build GenAI agents with Pydantic validation and observability
Chrome DevTools MCP
AI-powered Chrome automation and debugging
Weekly Views
Server Health
Information
Explore More Servers
MCP Weather Server
Real‑time weather data for LLMs
Wandering RAG MCP Server
Personal knowledge retrieval for Claude Desktop
VSCode as MCP Server
Turn VSCode into a self‑hosted LLM coding assistant server
Nuxt MCP Server
Streamlined Model Context Protocol server on Nuxt
GCP MCP Server
Natural language control of Google Cloud resources
ntfy-me-mcp
Send AI‑generated notifications to ntfy devices in real time