Outlook MCP Server

The Outlook MCP server bridges the gap between AI assistants and Microsoft 365 by exposing a rich set of calendar, email, and people‑management capabilities through the Model Context Protocol. It allows Claude or any other LLM that understands MCP to query, create, update, and delete Outlook data as if it were a native tool, eliminating the need for developers to write custom Graph API integrations for each task.

Problem Solved

Many teams rely on Outlook for scheduling, communication, and contact management. Traditional AI assistants can answer questions about a user’s schedule or draft replies, but without direct access to Outlook data they must rely on manual copy‑paste or third‑party services. This server removes that friction by providing a single, type‑safe endpoint that maps LLM prompts to Microsoft Graph actions. Developers no longer need to handle OAuth flows, token refreshes, or API rate limits—they can focus on building higher‑level conversational logic.

What the Server Does

• Calendar Integration: Users can list upcoming events, create new appointments, modify existing ones, or delete them—all through natural language commands that the LLM interprets.
• Email Management: The server lets assistants read inbox contents, draft or send messages, mark emails as read/unread, and delete unwanted mail.
• People Search: Quickly locate contacts within the organization or recent interactions, and retrieve detailed profile information.
• Type Safety & Validation: Every tool is wrapped in a TypeScript schema validated by Zod, ensuring that the data exchanged between AI and Outlook adheres to expected formats.

Because it follows MCP standards, the server can be plugged into any LLM that supports the protocol without modification.

Key Features & Capabilities

• Comprehensive Toolset: From to , each tool is mapped to a clear Graph API endpoint, giving developers granular control.
• Resource Exposure: Resources such as and are available for context-aware queries, allowing the AI to reference specific data sets.
• Model Context Protocol Compliance: The server’s tool definitions and resource schemas are MCP‑ready, enabling seamless discovery and invocation by the assistant.
• Full TypeScript Implementation: Strong typing and Zod validation reduce runtime errors and improve developer confidence.

Real‑World Use Cases

• Smart Scheduling Assistant: Claude can propose meeting times, check availability across participants, and automatically create Outlook events.
• Email Drafting & Follow‑ups: The AI drafts responses to incoming mail, queues follow‑up messages, and marks conversations as read when the user confirms.
• Contact Management: Quickly retrieve a colleague’s contact details or add new contacts to the organization directory.
• Automated Reminders: Schedule recurring reminders or calendar alerts directly from a conversational prompt.

Integration into AI Workflows

Developers embed the Outlook MCP server in their LLM environment by adding a single entry to the configuration. Once registered, the assistant can discover and invoke tools such as or through standard MCP calls. The server handles authentication via Azure AD, refreshes tokens automatically, and translates Graph API responses into the structured data expected by the LLM. This tight integration means developers can focus on crafting conversational flows while relying on a robust, secure bridge to Microsoft 365.

The Outlook MCP server delivers powerful, type‑safe access to calendar, email, and people data for AI assistants, turning routine office tasks into natural language interactions while sparing developers from the complexity of Graph API integration.