Connect Catalyst On-Demand MCP Server to an MCP Client

Connect Catalyst On-Demand MCP Server to Claude.ai

To connect your Catalyst MCP server to Claude.ai:

1. Navigate to the Connect section present in the MCP Console.
2. Copy the MCP URL.
3. Go to http://claude.ai/settings/integrations.
4. Click the Add drop-down.
5. Click Add Custom Connectors.
6. Provide a name for the MCP server, and paste your MCP URL.

The MCP server is now added to your MCP Client. To complete the connection, you need to authorize the MCP Server connection to Claude.

7. Access your MCP server from the list of Connectors and click Connect.
8. Follow the authorization process, and your MCP server will be connected and ready to use.

You can now leverage the artificial intelligence of Claude.ai through the Catalyst On-Demand MCP Server, which equips Claude with the required context it needs to understand and execute your operations on the Catalyst console.

Connect Catalyst On-Demand MCP Server to ChatGPT

To connect your Catalyst MCP server to ChatGPT:

To connect your Catalyst Global MCP Server to ChatGPT:

1. Navigate to the Profile > Settings > Apps section in ChatGPT, then click Create App.
2. Provide a name and description for you server.
3. Paste your MCP Server URL.
4. Select OAuth as the authentication type.
5. Click Create.

You will be directed to the Zoho MCP authorization screen in your local host.

6. Click Allow.

Follow the authorization process, and your MCP server will be connected and ready to use.

You can now leverage the artificial intelligence of ChatGPT through the Catalyst On-Demand MCP Server, which equips ChatGPT with the context it needs to understand and execute your operations on the Catalyst console.

Connect Catalyst On-Demand MCP Server to Cursor

Unlike other MCP Clients that require manual steps to add MCP servers, Cursor offers you automatic configuration, in addition to manual configuration.

{
  "mcpServers": {
    "ZohoMCP": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "Your-MCP-URL",
        "--transport",
        "http-only"
      ]
    }
  }
}

You can now leverage the artificial intelligence of Cursor’s AI models through the Catalyst On-Demand MCP Server, which equips them with the context they need to understand and execute your operations on the Catalyst console.

Connect Catalyst On-Demand MCP Server to CoPilot

Unlike other MCP Clients that require manual steps to add MCP servers, VS Code offers you automatic configuration in addition to manual configuration.

You can now leverage the artificial intelligence of the AI models present in CoPilot through the Catalyst On-Demand MCP Server, which equips them with the context they need to understand and execute your operations on the Catalyst console.

Connect Catalyst On-Demand MCP Server to Windsurf

To connect your Catalyst MCP server to Windsurf:

1. Navigate to the Connect section present in the MCP Console.
2. Copy the MCP URL.
3. Navigate to Windsurf’s Settings.
4. Search for “mcp” in the Settings search bar, and click Manage Plugins.
5. Click View Raw Config.
6. You will be directed to the mcp_config.json file. Paste the following code snippet in this file and replace Your-MCP-URL with the MCP URL you copied:

{
  "mcpServers": {
    "ZohoMCP": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "Your-MCP-URL",
        "--transport",
        "http-only"
      ]
    }
  }
}

Once you click Save, you will be directed to the Zoho MCP authorization screen in your local host.

7. Click Allow.

Follow the authorization process, and your MCP server will be connected and ready to use.

You can now leverage the artificial intelligence of Windsurf’s AI models through the Catalyst On-Demand MCP Server, which equips them with the context they need to understand and execute your operations on the Catalyst console.

Connect Catalyst On-Demand MCP Server to a Custom MCP Client

To connect your Catalyst MCP server to a custom MCP client, ensure:

• It is compatible to accept remote MCP servers.
• It supports connection through HTTP or Streamable Transport.

Once you confirm the fulfillment of the above requirements:

1. Navigate to the Connect section present in the MCP Console.
2. Copy the MCP URL.
3. Ensure Agent mode or its equivalent mode is enabled in your tool.
4. Create a mcp_config.json file or search and find the appropriate file in your AI tool.
5. Paste the following code snippet in the file and replace Your-MCP-URL with the MCP URL you copied:

{
  "mcpServers": {
    "ZohoMCP": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "Your-MCP-URL",
        "--transport",
        "http-only"
      ]
    }
  }
}

Follow the authorization process, and your MCP server will be connected and ready to use.

If you are facing further difficulties, reach out to Catalyst Support.