# AI Interface

The OP.GG MCP Server is a server that implements the Model Context Protocol, providing a standardized interface for AI agents to access OP.GG game data and supporting data query functions for multiple games such as League of Legends and Valorant.

The Perplexity AI MCP Server project provides a standardized interface to access the features of Perplexity AI, including chatting, searching, and document retrieval.

The DataWorks MCP Server provides a standardized interface for AI to achieve seamless interaction with Alibaba Cloud DataWorks Open API.

The Model Context Protocol (MCP) is an open - source protocol that provides a standardized method for large language models to connect to external data sources and tools. It supports functions such as resources, prompts, tools, and sampling. This article focuses on how to develop and use MCP tool services.

The Fastly NGWAF MCP Server is a Model Context Protocol service integrated with the Fastly Next-Generation Web Application Firewall API, supporting web application security management through natural language interaction, including rule management, IP list configuration, security monitoring, and other functions.

The OpenDota MCP Server project provides a real-time Dota 2 data access interface for LLMs and AI assistants

The Linode MCP Server is a service that provides a standardized interface for Linode cloud resource management, supporting the management of Linode instances through large language models (such as Claude).

The Grok MCP plugin is an interface plugin that provides the powerful features of Grok AI for Cline, supporting text generation, image analysis, and function calling.

A CouchDB model context protocol server based on TypeScript, providing an interface for AI assistants to interact with CouchDB

The GCP MCP Server is a standardized AI assistant interface for querying and managing Google Cloud Platform resources

The Perplexity Insight MCP Server is an MCP server implementation based on Node.js, used to interact with the Perplexity AI API and provide a standardized model context protocol interface.

MCP bridging service between the Xano database and Smithery

The OP.GG Esports MCP Server provides a League of Legends event data interface for AI agents

The Targetprocess MCP Server is a standard interface based on the Model Context Protocol (MCP), enabling AI assistants to interact with the Targetprocess project management platform through a unified interface, providing functions such as data query, creation and update, and model exploration.

LLM Bridge MCP is a standardized interface service that supports unified calling and management of multiple large language models.

KognitiveKompanion is a modern and multi-functional AI interaction interface that supports multiple desktop environments such as KDE, integrates multiple backends including OpenAI, Ollama, and AMD Ryzen AI hardware acceleration, and provides advanced UI, context functions, and conversation management.

The Grok MCP plugin is an interface that provides the powerful features of Grok AI for Cline, supporting text generation, image analysis, and function calls.

An MCP protocol server implemented for the Listmonk email system, providing AI models with the ability to manage mailing lists, subscribers, and newsletters through a standardized interface.

An implementation of the MCP protocol server for AivisSpeech, providing an interface with the AivisSpeech Engine and supporting speech synthesis for AI assistants.

The eRegulations MCP server provides a service for AI models to access eRegulations API data in a standardized manner

A server that provides an MCP - protocol - compatible interface for Lightdash, enabling AI assistants to access Lightdash data in a standardized way.

A server that enables Claude AI to interact with the esa API through the MCP protocol to automate document management.

The MCP Servers Hub is a centralized platform that collects and ranks Model Context Protocol (MCP) servers, sorted by the number of GitHub stars. It covers various service categories such as databases, networks, knowledge systems, and media processing, aiming to provide standardized external resource access interfaces for AI models.

Aiven's MCP server provides AI models with the ability to access data services in the Aiven ecosystem

The Model Context Protocol (MCP) is an open-source protocol designed to enable Large Language Models (LLMs) to seamlessly interact with external tools, services, and data sources through a standardized interface, simplifying the integration process and expanding AI capabilities.

An integrated SiYuan Note server implementing the MCP protocol, providing AI models with the ability to access and manipulate note data.

A database operation server that supports MySQL and MongoDB, providing a standardized database interface for AI models

This project implements an SSE MCP server that integrates the APIs of HuggingFace and Replicate, providing image generation and model management tools, and supporting a standardized AI model interaction interface.

An MCP server based on Spring Boot that provides an AI access interface to Spring I/O 2025 conference data, including structured data such as speeches, workshops, and speaker information.

A service that provides a standardized interface for AI models to operate MySQL databases, supporting multiple connection methods and database operation tools.