# Protocol Conversion

The WildFly MCP project aims to enhance the monitoring and management of the WildFly server through generative AI capabilities, providing tools and server integration and supporting natural language interaction.

The MCP Agent Tool Adapter project enables modular tool invocation through the MCP protocol, supports two agent frameworks, Google ADK and LangGraph, and provides dynamic inference and tool planning capabilities.

This project builds a centralized MCP server hosting environment through Docker and Traefik, integrating services such as Notion, Linear, GitHub, and Memory Bank, and uses SuperGateway to achieve communication protocol conversion.

A service for directly querying OpenAI models in Claude through the MCP protocol

MCP Server Magic is a tool that helps users easily generate Model Context Protocol servers. It supports generating servers in TypeScript, Python, and Go languages, provides two modes: direct implementation and proxy, and supports multiple deployment methods and authentication configurations.

The NATS MCP Toolkit is a toolset that exposes MCP tools through NATS microservices. It can be used as a standalone tool or a Go library, supporting the exposure of existing MCP servers through NATS or the direct publication of functions as tools.

A server that provides Swagger/OpenAPI specifications through the MCP protocol

Provide tRPC routing functionality through MCP services to enable the opening and invocation of RPC interfaces

automcp is a tool that can convert existing AI agent frameworks (such as CrewAI and LangGraph) into MCP protocol servers, enabling standardized interface access. It supports rapid deployment, multi - framework adaptation, and provides two transmission modes: SSE and STDIO.

MCP Connect is a local tool designed to connect Stdio-based MCP servers with cloud AI services, enabling interaction between cloud and local resources through protocol conversion and secure tunnels.

Nchan MCP Transport is a high-performance WebSocket/SSE transport layer and gateway designed for Anthropic's MCP (Model Context Protocol), supporting real-time and scalable AI integration.

A lightweight adapter from MCP to SLOP that connects MCP clients (such as Claude Desktop) to SLOP-compatible servers, enabling protocol conversion and function bridging.

An MCP server implemented for the Typecast API, providing a standardized interaction interface

The FalkorDB MCP server is a middleware that follows the Model Context Protocol (MCP) and is used to connect AI models with the FalkorDB graph database to implement query and interaction functions.

openai - tool2mcp is an open - source bridging tool that encapsulates OpenAI's built - in high - quality tools (such as web search and code interpreter) into an MCP protocol server, enabling MCP - compatible models like Claude to use these powerful functions.

mcp-request is an MCP server tool used to quickly expose and reuse various HTTP APIs through the MCP protocol, avoiding the need to create a separate MCP server for each API and improving development efficiency.

A prototype of the MCP tool that generates method stubs based on OpenAPI Schema, supporting containerized deployment

An implementation of FalkorDB's MCP service that connects AI models with graph databases

The MCP Agent Tool Adapter is a project that implements modular tool invocation through the MCP protocol and supports dynamic inference tools of two agents, Google ADK and LangGraph.

HTTP-4-MCP is a middleware server that can convert HTTP interfaces to MCP protocol interfaces, supporting functions such as visual configuration, real-time data flow, and hot updates.

A server project based on the Model Context Protocol (MCP) for accessing the microCMS API content management service via a standardized protocol.

HTTP-4-MCP is a middleware server that can convert ordinary HTTP interfaces into MCP protocol interfaces, supporting functions such as visual configuration, real-time data stream, and hot reload.