MCP

The Panda Video Model Context Protocol (MCP) server enables AI-powered code editors like Cursor and Windsurf, plus general-purpose tools like Claude Desktop, to interact directly with your Panda Video API and documentation.

What is MCP?

Model Context Protocol (MCP) is an open standard that allows AI applications to securely access external data sources and tools. The Panda Video MCP server provides AI agents with:

Direct API access to Panda Video functionality
Documentation search capabilities
Real-time data from your Panda Video account
Code generation assistance for Panda Video integrations

Panda Video MCP Server Setup

Panda Video hosts a remote MCP server at https://docs.pandavideo.com/mcp. Configure your AI development tools to connect to this server. If your APIs require authentication, you can pass in headers via query parameters or however headers are configured in your MCP client.

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "pandavideo": {
      "url": "https://docs.pandavideo.com/mcp"
    }
  }
}

Testing Your MCP Setup

Once configured, you can test your MCP server connection:

Open your AI editor (Cursor, Windsurf, etc.)
Start a new chat with the AI assistant
Ask about Panda Video - try questions like:
- "How do I [common use case]?"
- "Show me an example of [API functionality]"
- "Create a [integration type] using Panda Video"

The AI should now have access to your Panda Video account data and documentation through the MCP server.