# AI Interface

MCP bridging service between the Xano database and Smithery

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

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

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

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

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

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

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.

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

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 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.

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

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

The Spiral MCP Server provides a standardized interface for the Spiral API, supporting text generation, file processing, and webpage content extraction functions.

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

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.

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

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

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

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

A FastMCP server implementation for connecting to the Replicate API, providing standardized interfaces to access multiple AI models. Currently, it supports the image generation function and is in the early development stage.

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.

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.

The DataWorks MCP Server is a model context protocol server based on Alibaba Cloud OpenAPI, providing a standardized interface for AI to manage and operate DataWorks cloud resources.

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.

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.

This project is a collection of multiple Model Context Protocol (MCP) servers, aiming to provide dedicated interfaces for large language models. These servers are created by non - professional developers with the help of AI tools and currently include two functional modules: Perplexity search integration and keyword analysis.

The StarRocks MCP Server provides a standardized database interaction interface for AI models, supporting querying and operating on the StarRocks database.