jfx: An MCP server enabling LLMs to draw with JavaFX, using JBang.

godoc-mcp: An MCP server for efficient Go documentation access, boosting LLM performance with minimal token usage.

An MCP server for integrating OpenAI models with Claude via the MCP protocol. Simplifies AI model integration.

Cal-mcp: A FastMCP math expression server for AI integration.

Foxy Contexts: Golang library for building MCP servers, simplifying AI model integration with tools, resources, and prompts.

Build MCP-compatible AI servers easily with http4k. Integrate AI models with type-safe tools and flexible transport.

`mcp-agent`: A lightweight framework for building AI agents with Model Context Protocol (MCP). Simplifies integration and workflow management.

mcp-golang: Go library for streamlined MCP server and client development, simplifying AI model integration.

`poem-mcpserver`: MCP server for Poem, enabling AI model integration with tools. Uses stdio for communication.

Quarkus MCP Server: Simplify LLM integration with external data using this efficient MCP server extension.

ModelContextProtocol.NET: C# SDK for MCP, enabling seamless AI model integration with standard I/O and tool integration framework.

Kickstart your MCP server development with `template-mcp-server`! Dual transport, TypeScript support, and easy customization.