# Protocol Bridging

MCP bridging service between the Xano database and Smithery

An MCP server that connects Claude Desktop with Kali Linux security tools, a development kit for AI - assisted penetration testing

LSP - MCP is a bridge server that connects the Language Server Protocol (LSP) and the Model Context Protocol (MCP), allowing large language models to query LSP functions such as code hover information and completion suggestions through a standard interface.

A Python-based D&D 5e knowledge navigation server that connects AI assistants with the Dungeons & Dragons game data API through the Model Context Protocol (MCP)

GhidraMCP is a Ghidra plugin that enables AI - assisted binary analysis through the Model Context Protocol (MCP), connecting reverse engineering with AI assistants and providing functions such as natural language interaction, in - depth code analysis, and security vulnerability detection.

A configurable MCP Remote Server that dynamically loads functions through remote configuration and supports remote API calls for tools, resources, and prompt templates.

The Exa MCP server is a middleware that connects AI assistants to the Exa search API, allowing AI models such as Claude to safely conduct real-time web searches and obtain structured results.

Azure MCP is a model context protocol implementation designed for Claude Desktop, enabling Claude to manage Azure cloud resources through natural language interaction.

This project is a bridging tool that connects Claude Desktop to remote servers. It uses Node.js to convert protocols from stdio to HTTP SSE, supporting service discovery and tool calls of the MCP protocol.

The tutorial guides you on how to deploy both Go and Node MCP servers in VS Code and conduct test development as a client.

Cloudera AI Agent Studio MCP Server is a lightweight model context protocol bridge service that can expose Agent Studio instances as a set of callable tools, supporting dynamic creation and management of workflows.

This project establishes a model context protocol that connects the Claude desktop application with the US National Weather Service API, enabling direct access to real-time weather information in the Claude environment.

An MCP protocol server implemented in Pharo, connecting LLMs and Pharo applications

Unity-MCP is an open - source project that connects the Unity game engine with AI assistants. It implements AI - assisted development, automated testing, and runtime debugging functions through the Model Context Protocol.

Daraja MCP is a middleware server that connects AI systems with the Safaricom M-Pesa payment API, enabling AI-driven financial transaction automation through the standardized MCP protocol.

DolphinScheduler MCP Server is a server based on FastMCP that exposes DolphinScheduler's REST APIs as a standardized toolset for AI agents, enabling AI - driven process management.

LMStudio - MCP is a model control protocol server that enables Claude to interact with locally running LM Studio models.

The LSP - MCP server is a bridge service that enables LLM to query code hover information and completion suggestions through the LSP protocol

Posuer is a powerful MCP protocol manager that serves as a bridge between LLM clients and multiple MCP servers, providing containerized isolation, dynamic configuration reloading, multi-server capability aggregation, and intelligent routing.

The Perplexity MCP Server is a Node.js - based server that implements Anthropic's Model Context Protocol (MCP) to connect Claude with Perplexity's language models and provides enhanced AI interaction tools. It supports two main tools: advanced chat completion and a simplified single - query interface.

MCP Unity is a Unity Editor extension that implements the Model Context Protocol. It bridges the interaction between AI assistants and Unity projects through a Node.js server, providing functions such as menu execution, object selection, and component update.

This project demonstrates how to integrate the OpenAI API with the MCP protocol. Through the knowledge base tools provided by the MCP server, OpenAI can dynamically call backend tools to answer user queries.