`langchain-mcp` brings Model Context Protocol (MCP) tool support to LangChain, enabling interaction with external resources.

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

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

Voyp-mcp: An MCP server enabling AI models to make and manage phone calls, enhancing real-world interaction.

Sakura-mcp: A Scala MCP client for seamless AI model integration.

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

mcp-rs-template: Rust template for building MCP CLI servers, enabling seamless LLM integration with external resources.

Simplify MCP server development with mcp-framework! TypeScript framework with automated tooling and multi-transport support.

MCP Go: A Go library simplifying MCP server creation for seamless LLM integration with external data and tools.

`codemirror-mcp`: Seamless AI integration for CodeMirror with MCP. Resource auto-completion, visual decorations, and prompt commands.

LiteMCP: TypeScript framework simplifying MCP server creation for AI model integration.

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