Zoom MCP Server Integration

What does “Zoom” MCP Server do?

The Zoom MCP Server is a Model Context Protocol (MCP) server designed to enable natural language management of Zoom meetings via AI assistants such as Claude and Cursor. It acts as a bridge between AI-driven workflows and the Zoom platform, allowing users to create, update, retrieve, or delete Zoom meetings through standardized MCP interfaces. By providing seamless integration with AI tools, the Zoom MCP Server streamlines meeting management, reduces manual effort, and enhances productivity for developers and teams who rely on Zoom for collaboration. Its implementation leverages secure API credentials and is tailored for easy configuration and deployment within popular AI development environments.

List of Prompts

No prompt templates were mentioned in the available documentation or repository files.

List of Resources

No explicit MCP resources were described in the available documentation or repository files.

List of Tools

• get_meetings
  Retrieve all active Zoom meetings.
• create_meeting
  Create a new Zoom meeting.
• update_meeting
  Update an existing meeting.
• delete_meeting
  Delete a Zoom meeting.

Each tool uses Zod schema validation for parameters.

Use Cases of this MCP Server

• Automated Meeting Scheduling
  Developers and users can automate the scheduling of Zoom meetings through natural language commands, reducing the time spent on manual calendar management.
• Bulk Meeting Management
  Retrieve, update, or delete multiple Zoom meetings programmatically, which is useful for large organizations or event coordinators managing many sessions.
• AI-Powered Personal Assistants
  Integrate with AI assistants (e.g., Claude, Cursor) to create or modify Zoom meetings as part of broader workflow automation, such as setting up meetings based on detected tasks or user intent.
• Seamless Calendar Integration
  Use in workflows that connect Zoom meetings with other calendar or project management tools via MCP-compatible clients.
• Team Productivity Tools
  Build custom team dashboards or bots that can manage Zoom meetings using standardized MCP interfaces, ensuring consistency and security.

How to set it up

Windsurf

No setup instructions were provided for Windsurf in the available documentation.

Claude

1. Obtain your Zoom Client ID, Client Secret, and Account ID from the Zoom Marketplace.
2. Build a Server-to-Server OAuth App and activate it.
3. Add all Meeting Permissions under Scopes.
4. In your claude_desktop_config.json, add the following MCP server configuration:

{
  "mcpServers": {
    "zoom": {
      "command": "npx",
      "args": [
        "-y", "@prathamesh0901/zoom-mcp-server"
      ],
      "env": {
        "ZOOM_ACCOUNT_ID": "Your Zoom Account ID",
        "ZOOM_CLIENT_ID": "Your Zoom Client ID",
        "ZOOM_CLIENT_SECRET": "Your Zoom Client Secret"
      }
    }
  }
}

5. Save the file and restart Claude.

Note: Secure API keys by storing them in environment variables as shown above in the env section of the JSON.

Cursor

1. Obtain your Zoom Client ID, Client Secret, and Account ID from the Zoom Marketplace.
2. Build a Server-to-Server OAuth App and activate it.
3. Add all Meeting Permissions under Scopes.
4. In your .cursor/mcp.json, add the following MCP server configuration:

{
  "mcpServers": {
    "zoom": {
      "command": "npx",
      "args": [
        "-y", "@prathamesh0901/zoom-mcp-server"
      ],
      "env": {
        "ZOOM_ACCOUNT_ID": "Your Zoom Account ID",
        "ZOOM_CLIENT_ID": "Your Zoom Client ID",
        "ZOOM_CLIENT_SECRET": "Your Zoom Client Secret"
      }
    }
  }
}

5. Save the file and restart Cursor.

Note: Secure API keys by storing them in environment variables as shown above in the env section of the JSON.

Cline

No setup instructions were provided for Cline in the available documentation.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "zoom": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “zoom” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Based on the tables above, the Zoom MCP Server provides a clear and useful toolset for meeting management and secure setup instructions, but lacks documentation on prompt templates and MCP resources. Sampling and Roots support are not mentioned. The project is open source with an MIT license and has minimal community adoption. Overall, this MCP is functional but basic.

MCP Score

Rating: 4/10

The Zoom MCP Server offers core Zoom meeting management functions and good security practices, but lacks advanced MCP features, prompt templates, or strong community traction. It is useful for its purpose, but limited in broader MCP capabilities.