AI-Native API Platform with MCP
The first unified API platform with native Model Context Protocol support for AI agents.
Build autonomous AI applications with zero-config integration using MCP tools for OpenAI, Claude, and Gemini agents.
MCP Integration Setup
Select your API product and AI platform, then copy the MCP configuration for instant integration
Prerequisites: Make sure you have your API key ready. Get API Key →
MCP Endpoint: https://roxyapi.com/mcp/astrology-api
Create or edit .vscode/mcp.json in your workspace:
{
"servers": {
"roxyapi-astrology-api": {
"type": "http",
"url": "https://roxyapi.com/mcp/astrology-api",
"headers": {
"X-API-Key": "your_api_key_here"
}
}
}
}Works with: GitHub Copilot (VS Code 1.102+), Cline, Continue, Roo Code
Reload VS Code window after saving
What is MCP?
Model Context Protocol (MCP) is an open standard for connecting AI agents to external data sources and APIs. Build autonomous AI agents, chatbots, workflow automation, and custom AI-powered applications with any MCP-compatible platform.
Instead of manually writing integration code, MCP allows AI agents to discover and interact with APIs automatically. Think of it as "API documentation for AI" — whether you're building astrology chatbots, AI-powered numerology apps, tarot reading assistants, autonomous workflow agents, or AI coding tools, MCP enables zero-config integration.
RoxyAPI is the first data API platform to implement native MCP support, giving you a significant competitive advantage in building AI-powered applications across any industry.
Why it matters
AI-native integration eliminates manual work and accelerates development
Autonomous AI Agents
Competitive Advantage
Future-Proof
Technical Details
Protocol Version
RoxyAPI implements MCP Specification 2025-11-25 (latest stable version). Our implementation is fully compliant with the official standard.
Tool Discovery
The MCP server automatically generates tools from our OpenAPI 3.1 specification. All public API endpoints are available as MCP tools with proper type validation and documentation.
Authentication
Your API key is passed via the X-API-Key header. All MCP tool calls are authenticated and rate-limited according to your subscription plan.
Billing
MCP tool calls count against your monthly request quota. Tool discovery (listing available endpoints) is free and doesn't consume requests.
Supported Platforms
Any MCP-compatible platform works with RoxyAPI. Verified compatible with OpenAI Agents, Gemini Agents SDK, Visual Studio Code, Github Copilot, Claude Desktop, Windsurf, Cline, and custom agent frameworks. Essentially any AI agent or application that supports MCP can integrate seamlessly.
Testing with MCP Inspector
Test RoxyAPI MCP endpoints directly in your browser using the official MCP Inspector. Configure the transport type to "Streamable HTTP", add your MCP endpoint URL (e.g., https://roxyapi.com/mcp/astrology-api), and enable the X-API-Key custom header with your API key. Great for testing tools before integrating into your application.
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