About
The Zoom MCP Server provides standardized create, update, delete, and retrieve operations for Zoom meetings, enabling seamless integration with AI tools such as Claude or Cursor. It simplifies meeting management through a consistent MCP interface.
Capabilities
Zoom MCP Server
The Zoom MCP Server is a lightweight, standards‑compliant interface that lets AI assistants such as Claude or Cursor manage Zoom meetings without writing custom API wrappers. By exposing a set of declarative tools—, , , and —the server turns the native Zoom REST endpoints into a single, predictable MCP payload. This abstraction allows developers to focus on higher‑level workflow logic rather than authentication plumbing or HTTP details.
Why It Matters
Zoom is a ubiquitous collaboration platform, yet its API requires OAuth credentials, token refresh logic, and careful parameter validation. For AI‑driven applications that need to schedule, modify, or cancel meetings on the fly (e.g., an assistant that books a follow‑up meeting after a conversation), the Zoom MCP Server eliminates these friction points. Instead of embedding OAuth flows in every client, developers can delegate that responsibility to the server and simply call well‑defined tools with JSON arguments.
Key Features & Capabilities
- Unified Toolset: Four core tools cover the entire lifecycle of a meeting—listing, creating, updating, and deleting.
- Schema Validation: Each tool’s parameters are rigorously checked with Zod schemas, ensuring that malformed requests never reach Zoom and reducing runtime errors.
- OAuth Integration: The server handles the Server‑to‑Server OAuth flow automatically, refreshing tokens as needed and exposing a single configuration point for client ID, secret, and account ID.
- MCP‑Ready: The server speaks the Model Context Protocol natively, so Claude or Cursor can invoke tools without additional adapters.
Use Cases & Real‑World Scenarios
- Automated Scheduling: An AI assistant can propose meeting slots, create a Zoom link, and send invites—all through a single tool call.
- Dynamic Updates: Meetings that shift due to rescheduling or agenda changes can be updated on the fly, keeping all participants in sync.
- Clean Up: Periodic cleanup scripts can delete obsolete meetings, freeing up resources and maintaining a tidy calendar.
- Cross‑Platform Workflows: Integrate Zoom management into broader automation pipelines (e.g., combining with calendar APIs, ticketing systems, or project management tools).
Integration into AI Workflows
When configured in the MCP client (Claude or Cursor), developers add a single entry to the section of their configuration file. The server runs as an external process, exposing the four tools over a local HTTP endpoint. AI assistants then reference these tools by name and supply arguments in JSON format, receiving structured responses that can be parsed or displayed directly. This plug‑and‑play model keeps AI logic clean and declarative, while the server handles all OAuth nuances behind the scenes.
Standout Advantages
- Zero‑Code API Wrapping: No need to write custom HTTP clients or handle token refresh logic; the server does it all.
- Type Safety: Zod schemas guarantee that only valid data reaches Zoom, reducing runtime failures.
- Extensibility: The toolset can be expanded with additional Zoom endpoints (e.g., recording management) without altering the client side.
- Open Source & MIT Licensed: Easy to audit, modify, and contribute—perfect for teams that need a trustworthy, maintainable integration.
In summary, the Zoom MCP Server provides developers with a ready‑made, standards‑compliant bridge between AI assistants and the Zoom platform, streamlining meeting management workflows while keeping codebases simple and resilient.
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 Client And Server From Scratch
Build MCP clients and servers from the ground up
Unsplash MCP Server
Search and retrieve Unsplash photos via Model Context Protocol
Kintone MCP Server
Unofficial kintone integration for LLM desktop apps
Kestra Python MCP Server
Run Kestra AI tools via Docker with minimal setup
SAP Commerce MCP Server
Natural language commerce via SAP OCC APIs
Colpali MCP Server
Semantic image search with ColPali and Elasticsearch