MCP

The Datastreamer API 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 Datastreamer API 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 Datastreamer API MCP server provides AI agents with:

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

Datastreamer API MCP Server Setup

Datastreamer API hosts a remote MCP server at https://docs.datastreamer.io/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.

{
  "mcpServers": {
    "datastreamer": {
      "url": "https://docs.datastreamer.io/mcp"
    }
  }
}

Testing Your MCP Setup

Once configured, you can test your MCP server connection:

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

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