Transform your REST API into an MCP server that AI assistants like Claude Desktop can use. Configure your APIs through our web interface and connect via HTTP.
Powerful features designed to make API integration seamless and efficient.
Configure your API bridge through our web interface. Authentication and endpoint configuration made easy.
Support for Bearer tokens, API keys, and Basic auth. Your credentials are stored securely.
Works with any REST API. Transform existing services into AI-accessible tools.
Automatically converts your API endpoints into MCP tools that AI assistants can understand.
Manage your bridges with database storage, start/stop controls, and configuration templates.
Built-in templates for popular APIs and export/import your bridge configurations for backup.
Three simple steps to connect any REST API to the Model Context Protocol ecosystem.
Enter your REST API details including base URL, authentication, and endpoints through our user-friendly interface.
Our platform automatically converts your API endpoints into MCP tools that AI assistants can discover and use.
Copy the generated MCP endpoint and configure it in your AI assistant (Claude Desktop, VS Code, etc.) to start using your APIs.
Here's how ContextLayer transforms REST APIs into MCP tools that AI assistants can use.
OpenWeatherMap to MCP conversion
Repository management for AI