Zoom MCP Server

The Zoom MCP Server bridges the gap between conversational AI assistants and the Zoom platform, enabling developers to orchestrate meeting logistics entirely through natural language or scripted prompts. By exposing a set of declarative tools—such as listing, creating, deleting, and retrieving meeting details—the server allows an AI to act as a personal scheduling assistant that understands context and handles authentication automatically. This removes the need for manual API calls or UI interactions, streamlining workflows that involve meeting coordination, agenda preparation, or event reminders.

At its core, the server implements a Server‑to‑Server OAuth flow against Zoom’s API. Once configured with an account ID, client ID, and secret, it obtains a long‑lived access token on behalf of the user. The MCP interface then translates high‑level commands (“Schedule a meeting at today 3 pm with an intro to MCP topic”) into precise API requests, returning structured data that the AI can embed in responses or trigger subsequent actions. Because the server runs as a lightweight Node package, it can be launched from any environment that supports MCP clients—whether in a browser extension, a VS Code workspace, or a custom chatbot platform.

Key capabilities include:

• Meeting discovery – Quickly list current or upcoming meetings with optional filters.
• Scheduling – Create new meetings by specifying time, topic, and optional attendees or settings.
• Deletion – Remove scheduled meetings using identifiers or relative references (“latest meeting”).
• Detail retrieval – Fetch full metadata, including participant lists and recording URLs.

These features empower real‑world scenarios such as automated interview scheduling, classroom session planning, or corporate meeting reminders. A developer can embed the Zoom MCP Server into a conversational agent that handles follow‑up emails, syncs with calendar tools, or triggers video recordings—all without exposing credentials to the end user.

Integration is straightforward for MCP‑aware workflows: the server registers its tools in the MCP registry, and any compliant client can invoke them through natural language or scripted prompts. The server’s design also supports extensibility; additional Zoom endpoints (e.g., webinars, recordings) can be added by extending the tool set without modifying the core server logic. This modularity, combined with secure OAuth handling and a minimal runtime footprint, makes the Zoom MCP Server a compelling addition to any AI‑driven productivity stack.