Transform REST APIs to Model Context Protocol
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.
Public MCP Bridges
Everything you need to transform APIs
Powerful features designed to make API integration seamless and efficient.
Quick Setup
Configure your API connection through our web interface. Authentication and endpoint configuration made easy.
Secure Authentication
Support for Bearer tokens, API keys, and Basic auth. Your credentials are stored securely.
Universal Compatibility
Works with any REST API. Transform existing services into AI-accessible tools.
Auto-Generated Tools
Automatically converts your API endpoints into MCP tools that AI assistants can understand.
MCP Server Management
Manage your MCP servers with database storage, start/stop controls, and configuration templates.
Configuration Templates
Built-in templates for popular APIs and export/import your MCP server configurations for backup.
How it works
Three simple steps to connect any REST API to the Model Context Protocol ecosystem.
Configure Your API
Enter your REST API details including base URL, authentication, and endpoints through our user-friendly interface.
Generate MCP Server
Our platform automatically converts your API endpoints into MCP tools that AI assistants can discover and use.
Connect AI Assistant
Copy the generated MCP endpoint and configure it in your AI assistant (Claude Desktop, VS Code, etc.) to start using your APIs.
See It In Action
Here's how ContextLayer transforms REST APIs into MCP tools that AI assistants can use.
Weather API to MCP
OpenWeatherMap to MCP conversion
GitHub API to MCP
Repository management for AI