Build secure MCP-compliant servers to integrate Large Language Models with your data and tools using familiar http4k patterns
✦ Read the Launch Announcement ✦Build secure MCP-compliant servers using familiar http4k patterns. Seamlessly connect AI models with your existing systems and data sources.
Create robust AI integrations using http4k’s powerful Lens system for type-safe tool definitions and capability bindings with compile-time safety.
Support for both stateful and stateless HTTP Streaming protocols, SSE, Websocket and Standard IO transports, enabling seamless integration with desktop and web-based AI applications.
Full support for Official and Draft MCP capabilities including structured Tools Output, Protected Resource OAuth and Elicitations, with both local and cloud-based model support.
Build highly testable MCP services with pure functions and no side effects. Create predictable, testable, and composable AI capabilities that can be verified without running a server.
Deploy your MCP capabilities to AWS Lambda, GCP Functions, and other FaaS platforms using http4k’s serverless adapters with zero code changes.
Build your own AI agents with our pure Kotlin MCP protocol clients. Integrate MCP capabilities directly into your applications for custom agent development and advanced AI workflows.
Connect any MCP server to Claude and other AI assistants using the http4k-mcp-desktop client, with support for all transport modes and authentication types.
Step 1 - Define typesafe MCP tools and capabilities using simple, testable functions
Step 2 - Create your MCP server by composing capabilities and security into a lightweight server
Step 3 - Integrate your AI-powered app with Claude Desktop as a server or native binary
Step 4 - Access your MCP server from other agents using our pure Kotlin MCP Client