# 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.

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.

The MCP Ayd Server is an implementation of the Model Context Protocol server designed for Ayd.

MCP-Serve is a multilingual translation service based on the MCP protocol, providing text translation and resource management functions, and supporting interaction with AI models to expand capabilities.

The MCP server is a platform that supports AI - based autonomous software development. It provides functions such as file operations, network requests, database queries, Git management, and system command execution, enabling full - process automated development from concept to testing.

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.

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

A Locust load test server implementation based on the Model Context Protocol, supporting AI development environment integration

An implementation of the Model Context Protocol server for NebulaGraph, providing seamless access to NebulaGraph and supporting graph exploration, querying, and quick algorithms.

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.

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

The MedixHub MCP Server is a model context protocol service based on JavaScript, integrating medical and health API access functions, providing standardized function execution, parameter verification, and LLM integration, and supporting various medical data queries such as OpenTarget, FDA drug labels, and Monarch databases.

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

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.

The WebScraping.AI MCP Server is a protocol service implementation integrating network data extraction functions, providing various web page content processing tools.

The AIStor MCP server is a service based on the Model Context Protocol (MCP) for interacting with AIStor object storage. It supports various operations, including reading, writing, deleting, and management functions, such as listing buckets and objects, getting metadata, creating presigned URLs, and using AI to describe object content. It has flexible configuration and can enable operations at different permission levels through flags.

A NestJS module for easily exposing AI tools, resources, and prompts via the Model Context Protocol (MCP), supporting multiple transport types and dependency injection.

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.

A fully functional MCP server that offers 73 tools covering 11 modules including file system, diagnostics, scripts, time management, network, context, Git operations, user input, version control, clipboard, and text conversion.

The LM Studio MCP Server is a service based on the Model Context Protocol that allows AI assistants to remotely manage models through the LM Studio API, including functions such as viewing, loading, and unloading models.

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.

The Linkup MCP Server is a tool used to integrate Linkup's web search functionality with AI models supporting function calls through the MCP protocol.

An MCP server implemented for the Transcripter project, providing AI-based transcription search, summary generation, and other functions, supporting a standardized model interaction protocol.

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.

A Model Context Protocol server project built on the mcp - framework, providing a tool development framework and npm publishing support

The Exa MCP Server is a server that enables AI assistants (such as Claude) to perform web searches through the Exa AI Search API, providing real - time and secure web information acquisition functions.

A professional tool for quickly creating MCP server scaffolds

The Slack MCP Server is a model context protocol service designed for Slack workspaces. It supports Stdio and SSE transmission methods and can be integrated and used without the need for workspace administrators to create or approve bot permissions.

The Kafka MCP Server is an Apache Kafka Model Context Protocol (MCP) server implemented in Go. Through a standardized interface, it enables LLM models to perform Kafka operations. It provides functions such as producing/consuming messages, managing topics and consumer groups, and monitoring cluster health. It supports multiple security authentication methods and can be integrated with AI applications such as Cursor and Claude.