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Description

Marry the power of AI with the simplicity of http4k. Build MCP-compliant servers to integrate Large Language Models with your data and tools using familiar http4k patterns.

How to use http4k MCP?

1. Define your tools and capabilities using simple, testable functions. 2. Create your MCP server by composing capabilities into a lightweight server. 3. Integrate your AI-powered app with Claude Desktop as a server or native binary. 4. Access your MCP server from other agents using the pure Kotlin MCP Client.

Core features of http4k MCP:

1️⃣

Simple Integration: Build MCP-compliant servers using familiar http4k patterns to connect AI models with existing systems and data sources.

2️⃣

Typesafe Tooling: Create robust AI integrations using http4k's powerful Lens system for typesafe tool definitions and capability bindings with compile-time safety.

3️⃣

Flexible Transport: Support for both stateful and stateless HTTP Streaming protocols (SSE, Websocket, and Standard IO) for seamless integration with desktop and web-based AI applications.

4️⃣

Complete Capabilities: Full support for MCP capabilities including Prompts, Tools, Resources, Roots, Completions, and Sampling with both local and cloud-based model support.

5️⃣

Serverless Ready: Deploy your MCP capabilities to AWS Lambda, GCP Functions, and other FaaS platforms using http4k's serverless adapters with zero code changes.

Why could be used http4k MCP?

#Use caseStatus
# 1Integrate AI models into existing applications for enhanced functionality.
# 2Develop custom AI agents using pure Kotlin MCP protocol clients.
# 3Create testable and composable AI capabilities that can be verified without running a server.

Who developed http4k MCP?

http4k Limited, registered in England & Wales, focuses on providing tools and frameworks for building server-side applications with a strong emphasis on simplicity and integration.

FAQ of http4k MCP