# Protocol Service

A demonstration project of an MCP server based on TypeScript, showing the core concepts implemented through the project management system, including resource query and tool operation functions.

An MCP server prototype designed for Santa, driving the Santa toolchain through LLM

This project implements the MCP server for the Typecast API, providing a standardized way for MCP clients to interact with the text-to-speech service.

Ultra MCP is a multi-model AI protocol server that integrates AI models such as OpenAI and Gemini through a unified MCP interface, providing support for Claude Code and Cursor. It features zero-configuration installation, a built-in usage analysis dashboard, and a modern web interface.

The Verodat MCP server implements the model context protocol and provides a toolset for AI systems to seamlessly integrate with Verodat's data management capabilities.

The Verodat MCP service is a protocol server for integrating code and data into AI systems (such as Claude Desktop), providing functions such as account management, dataset operations, and AI queries.

An Azure DevOps server that implements the Model Context Protocol (MCP), providing a standardized interface for AI assistants to securely access and manage Azure DevOps resources.

Implementation of the Gemini MCP Server, supporting interaction between Claude Desktop and the Google Gemini 2.5 Pro Experimental model

WebSearch-MCP is a server implementation based on the Model Context Protocol (MCP), providing real-time web search capabilities for AI assistants.

This project is a Model Context Protocol (MCP) server implemented for Mattermost integration. It retrieves and processes information by connecting to Mattermost API endpoints, supports two transmission modes (SSE and standard I/O), and provides real-time message processing and team/channel monitoring functions.

An MCP service based on the Model Context Protocol specification, providing a standardized interface for interacting with Quick Chart. Supports getting chart image links and local service installation.

The Ollama-MCP-server is a protocol server that connects local Ollama LLM instances with MCP-compatible applications, providing functions such as task decomposition, result evaluation, and model management, and supporting standardized communication and performance optimization.

This is a TypeScript-based File System MCP Server that provides a secure and reliable local file system operation interface for AI agents, including functions such as reading, writing, updating, and managing files and directories.

The Akash MCP Server is a Model Context Protocol (MCP) server implemented in TypeScript, used to connect AI agents and the Akash decentralized cloud network.

An MCP protocol server that connects AI tools with the CheerLights IoT lighting system

The EMQX MCP Server is a server that implements the Model Context Protocol (MCP), providing interaction functions with the EMQX MQTT broker and supporting MQTT client management and message publishing.

A curated list of Model Context Protocol (MCP) servers optimized for AI assistants like Claude, providing various extended capabilities such as file access, database connection, and API integration.

The MCP server of TiDB AI, providing a Q&A interface for Cursor

Tabby-MCP-Server is a powerful Tabby plugin that implements the Model Context Protocol (MCP) server, enabling AI to control the terminal and automate operations.

The Gemini MCP Server is a middleware designed for the Claude desktop application, enabling image generation through Google's Gemini AI model. This project provides a convenient installation and configuration wizard, supports Docker containerized deployment, and allows users to customize generation parameters.

An MCP protocol server implementation based on TypeScript and Express, focusing on payroll management functions and providing a standardized AI model interaction interface.

The Nile MCP Server is a Model Context Protocol (MCP) server implemented for the Nile database platform, allowing LLM applications to interact with the Nile platform through a standardized interface.

The 1Panel MCP Server is an implementation of the model context protocol server designed for 1Panel.

The Northbeam MCP Server is a Model Context Protocol service for accessing Northbeam marketing analytics data, providing functions for querying metrics, dimensions, channel performance, cohort analysis, and attribution data.

Tusky MCP Server is a bridge server connecting Tusky storage/Mastodon integration with AI assistants, enabling AI systems such as Claude to securely access and operate data in Tusky through the Model Context Protocol. It provides functions such as authentication, storage management, file operations, search, and TUS - protocol uploads.

The BioContextAI Knowledge Base MCP is a model context protocol server designed for biomedical research that provides a standardized connection layer between AI systems and biomedical resources, supporting integrated access to multiple biomedical databases and tools.

This is an initial implementation of a FIWARE Model Context Protocol (MCP) server, providing a bridge between the context broker and other services, including basic interaction functions and intention operation demonstrations.

FFmpeg-MCP is a server-side project based on the Model Context Protocol, aiming to provide multimedia processing capabilities for LLMs.

The Kaltura MCP server is a service that implements the Model Context Protocol (MCP), providing AI models with standardized interaction capabilities with the Kaltura media management system, including media upload, metadata management, classification, and user management.

Edit-MCP is a model context protocol server integrated with the Microsoft Edit tool, providing advanced file editing capabilities for AI systems and adopting a hybrid architecture that combines direct file operations and Edit integration.