Redis MCP Server is a natural language interface service designed for Redis, supporting AI agents to query and manage Redis data through natural language, integrating the MCP protocol, and providing multiple data structures and search functions.

Tripo MCP Server is an interface project that connects AI assistants and Tripo AI, supporting the generation of 3D assets through natural language and importing them into Blender.

MCPEngine is a production-grade implementation of the Model Context Protocol (MCP), providing standardized interfaces for large language models (LLMs). It supports functions such as OAuth authentication, resource management, and tool invocation, aiming to become the 'REST of the LLM world' framework.

adb - mcp is a proof - of - concept project aiming to provide an interface for LLMs through the MCP protocol to create an AI agent for controlling Adobe tools (such as Photoshop and Premiere). This project includes the MCP server, Node command proxy server, and Adobe application plugins, supporting natural language instruction operations on Adobe software and suitable for image and video editing automation.

The YouTube MCP Server is a standardized interface implementation that allows AI language models to interact with YouTube content through protocols, providing functions such as video information retrieval, subtitle management, channel and playlist management.

Tripo MCP Server is an interface tool that connects AI assistants with Tripo AI, supporting the generation of 3D assets from natural language and importing them into Blender.

ngspice-mcp is an MCP protocol-based server that provides a standardized interface for AI language models to access ngspice circuit simulation capabilities, supporting operations such as circuit loading, simulation execution, and data acquisition.

AiryLark MCP is a professional - level translation service interface. It uses a three - phase process to ensure translation quality, supports multi - language translation and domain term recognition, and is suitable for professional scenarios such as technical documents and academic papers.

The SDKMAN interactive command-line tool provides a convenient interface for browsing, filtering, and installing SDKs, supports all SDKMAN candidate versions, and can integrate with an AI assistant to manage the development environment through natural language.

The YouTube MCP Server is a service that implements the Model Context Protocol (MCP). It provides a standardized interface for AI language models to interact with YouTube content, supporting functions such as video information retrieval, subtitle management, channel and playlist operations, etc.

The Pega DX MCP Server is an experimental project aiming to transform Pega Infinity™ applications into an intuitive conversational experience through the Model Context Protocol (MCP). It serves as a bridge between the Pega DX API and the natural language interface, enabling GenAI agents, IDEs, and other MCP-supported tools to interact with Pega Infinity™ applications using simple human-readable commands.

This project is a document processing server based on the Model Context Protocol (MCP) standard. By building a vector database and an MCP interface, it enables AI assistants to access external document resources and break through the knowledge limitations of large language models. The project includes two major components: a document processing pipeline and an MCP server. It supports multiple embedding models and file formats and can be applied to scenarios such as querying the latest technical documents and understanding private code libraries.

The YouTube data MCP server enables interaction between AI language models and YouTube content through a standardized interface

Trellis MCP is an interface service that connects AI assistants with Trellis 3D generation models, supporting rapid generation of 3D assets through natural language and importing them into Blender. This project is based on an open - source model and requires self - deployment of the API backend. It is fast and free, but there are stability risks.

Archive Agent is an intelligent file indexing tool that supports searching and querying file content through natural language. It combines AI search (RAG engine), automatic OCR, and the MCP interface, and can handle various file types, including text, documents, PDFs, and images.

A service based on the Model Context Protocol (MCP) that provides an interface to ServiceNow, allowing AI agents to access and manipulate ServiceNow data through a secure API and supporting natural language interaction.

A multi - database server based on the Model Context Protocol, supporting SQLite, MySQL, PostgreSQL, and MSSQL, providing an AI - driven natural language database operation interface

The ThingsBoard MCP Server is a service that provides a natural language interface for LLMs and AI agents, allowing interaction with the ThingsBoard IoT platform through natural language commands to achieve functions such as device management, data query, and analysis.

MCP Server DevOps Bridge is a bridge project connecting DevOps tools and AI assistants, providing a unified natural language interface, supporting cross - platform integration and autonomous agent workflows, including the integration of platforms such as Azure DevOps, GitHub, and Slack, as well as an intelligent memory system.

A Model Context Protocol (MCP) server implemented for Microsoft OneNote, providing a standardized interface for AI language models to interact with OneNote and supporting management functions for notebooks, sections, and pages.

KuzuDB MCP Server is a protocol server that provides access to graph databases, supporting web interface management, multi - agent coordination, automatic connection recovery, and AI - driven natural language query generation.

OmniLLM is an MCP server that serves as a bridge between Claude and other large language models (such as ChatGPT, Azure OpenAI, and Google Gemini), providing a unified AI access interface.

This project provides the Model Context Protocol (MCP) service for Apache Fineract®, supporting implementations in Python, Java, and Node.js, enabling AI agents to access financial data and operations. It includes a debugging tool, multi - language implementations, and standardized API interfaces.

NetBrain MCP is an open-source network operation and maintenance platform that connects large language models with network devices through the Model Context Protocol, enabling AI-driven network configuration, diagnosis, and management. It also provides a professional Web terminal interface and network topology visualization functionality.

MetaTrader MCP Server is a Model Context Protocol server built on Python, aiming to achieve automated trading on the MetaTrader platform through AI large language models (LLMs). It supports integration with LLM tools such as Claude Desktop and Open WebUI and provides an HTTP server interface.

An MCP (Model Context Protocol) server project implemented in Go language, aiming to provide standardized tool call and resource access interfaces for AI models.

The MCP Agent Server is an open-source AI employee brain designed to work in conjunction with workflow engines such as n8n. It supports natural language interfaces, persistent memory, and feedback loops, emphasizing the AI employee metaphor and vertical solutions.

AI00 RWKV Server is an efficient inference API server based on the RWKV language model, supporting Vulkan acceleration and OpenAI-compatible interfaces.

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.

A Model Context Protocol (MCP) server implemented for Microsoft OneNote, providing a standardized interface for AI language models to interact with OneNote and supporting management functions for notebooks, sections, and pages.

An MCP server implementation based on Go language, integrating the Grafana Tempo distributed tracing system, providing a tool interface for AI assistants to query and analyze tracing data. It supports two communication modes: standard input/output and HTTP/SSE, and can be connected to AI clients such as Claude Desktop.

The Gaia MCP Server is a server implementation based on the Model Context Protocol (MCP), supporting communication with large language models (LLMs) through stdio and SSE. It provides a standardized tool - calling interface and especially integrates AI image generation and processing functions.

The MySQL MCP Server is an open - source tool based on the Model Context Protocol that allows Claude AI to directly access and operate the MySQL database using natural language. It provides secure permission control, a Web management interface, and multiple deployment methods, supporting functions such as query execution, database exploration, and connection switching.

A Kubernetes AI intelligent management assistant that combines the MCP protocol server and Rancher UI extensions to provide natural language command - line operations and a visual cluster management interface

A key phrase extraction MCP server based on the BERT model, which extracts high-quality key phrases from text through a natural language interface and supports document analysis and AI workflow integration

OpenGenes-MCP is a server based on the Model Context Protocol (MCP), which provides a standardized interface for the OpenGenes database to access data on aging and longevity research. The server automatically downloads the latest OpenGenes database from the Hugging Face Hub to ensure that users can always access the latest data. The database contains experimental data on lifespan changes, gene classification standards, associations with aging markers, and longevity-related research. It supports converting natural language queries into SQL queries, making it convenient for researchers and AI assistants to use.

The CockroachDB MCP Server is a natural language interface designed for LLM and agent applications to manage and query CockroachDB databases, supporting integration with AI tools via the MCP protocol.

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.

The SEO Review Tools MCP server provides a natural language interaction method for LLM and AI tools through the Model Context Protocol (MCP), integrating massive SEO data interfaces, including over 3.1T backlinks, 7B+ keywords and other resources.

An MCP server implementation based on the YouTube Data API, providing a standardized interface for AI language models to access YouTube content, including functions such as video information, subtitle management, channel analysis, and trend analysis.