OpenDia is an open - source browser extension tool that allows AI models to directly control the user's browser, perform automated operations using existing login status, bookmarks and other data, support multiple browsers and AI models, and focus on privacy protection.

This is a curated list of Web3 Model Context Protocol (MCP) servers, covering multiple categories such as chain interaction, trading, DeFi, market data, tools, and social. MCP is an open protocol that standardizes how applications provide context to LLMs, similar to the USB - C port for AI applications. DeMCP is the first decentralized MCP network, focusing on providing self - developed and open - source MCP services for agents, supporting cryptocurrency payments, and redefining the security and reliability of MCP by combining TEE and blockchain registries.

MemoryMesh is a knowledge graph server designed for AI models, focusing on text role - playing games and interactive narratives. It helps AI maintain consistent and structured memory in conversations through dynamic schema definition and automatic tool generation, enabling a richer and more dynamic interactive experience.

MemoryMesh is a knowledge graph server designed for AI models, focusing on text RPGs and interactive narratives, helping AI maintain structured memory across conversations.

The Rust MCP SDK is a high - performance, asynchronous toolkit for building MCP (Model Context Protocol) servers and clients. It simplifies the development process, allowing developers to focus on application logic while providing powerful features and consistency guarantees.

The SendGrid MCP Server is a Model Context Protocol service that provides access to the SendGrid Marketing API, focusing on email marketing and contact management.

Media Gen MCP is a server that strictly follows the TypeScript and MCP specifications, focusing on generating and editing images and videos using OpenAI and Google's AI models. It provides a series of tools, including image generation/editing, video creation/remixing, file acquisition and processing, and supports intelligent resource linking and inline output. It is suitable for various MCP-compatible clients.

AI Humanize MCP Server is a powerful model context protocol server that focuses on optimizing AI-generated content into more natural and humanized text.

SeekCode is a modern desktop application focusing on code snippet management and clipboard integration. It supports multi - language syntax highlighting, tag search, and has a built - in MCP server for automated access by AI assistants.

An MCP server that provides the function of connecting to the i3 window manager, allowing you to control i3 windows through natural language, such as moving windows, switching focus, switching floating mode, etc.

The MCP Game Helper is a custom model context protocol server that provides AI - assisted tools for game developers, focusing on tasks such as combat balance, skill analysis, level rhythm, and simulation.

The Arc MCP Server is a Model Context Protocol server that simplifies framework deployment, focusing on shared hosting environments, supporting multi - platform deployment and guided operations.

OmniMCP is a tool that provides rich UI context and interaction capabilities for AI models through the Model Context Protocol (MCP) and OmniParser. It focuses on achieving in - depth understanding of the user interface through visual analysis, structured planning, and precise interaction execution.

FortunaMCP is an advanced MCP server that focuses on generating high-quality random values, suitable for scenarios such as simulation, modeling, and game mechanics in AI applications.

The Unity MCP Package is a Unity plugin focused on enhanced material editing. It implements two - way communication between Unity and large language models based on the MCP protocol, supports functions such as asset management, scene control, and script integration, and plans to add more advanced features.

The MCP Chat Adapter is a server based on the MCP protocol that provides a standardized interface for LLMs to interact with the OpenAI-compatible API. It focuses on chat model scenarios and supports conversation management and persistent storage.

The IOTA MCP Server is a comprehensive Model Context Protocol (MCP) server that provides blockchain services for IOTA and multiple EVM-compatible networks, with a particular focus on the integration of the IOTA ecosystem and AI systems. It supports more than 30 blockchain networks, providing a unified interface for AI agents to access blockchain data, interact with smart contracts, transfer tokens, etc., and includes features unique to IOTA such as staking and network status monitoring.

A FastMCP server implementation based on the Replicate API, focusing on providing resource-based access to AI model inference, especially good at image generation functions.

WebScout MCP is a web application reverse-engineering tool based on the Model Context Protocol, focusing on automated analysis of chat interfaces and streaming APIs, providing browser automation, network traffic capture, and intelligent pattern detection capabilities

Sensei MCP is a Model Context Protocol server that provides expert guidance for Dojo and Cairo development on Starknet, focusing on the Entity Component System framework for on - chain world building.

This project implements a full-stack AI agent system inspired by the model context protocol, including a React front-end and a FastAPI back-end. The back-end serves as an AI coordinator, using Google Gemini to parse natural language instructions, safely call the file system, browser, or GitHub tools to perform tasks, and return the structured results to the front-end. The system focuses on software development scenarios, providing secure sandbox file operations, real-time web browsing, and repository inspection functions, and visualizing the tool call process.

An MCP protocol server focused on the Go language, providing code generation, style guides, and best practice tools that conform to Go idioms, helping language models understand and generate high - quality Go code.

Flux ImageGen MCP Server is a dedicated server based on the Model Context Protocol (MCP), focusing on providing image generation and processing functions through Pollinations AI. It supports generating image URLs from text prompts, directly generating images, and managing multiple image generation models.

This analysis report summarizes the most interesting MCP (Model Context Protocol) servers discussed on the X platform on March 19, 2025, focusing on their practicality in AI - driven workflows. Through discussions and blog posts on the X platform, the report identifies the most popular and recommended MCP servers, including Reddit, Notion, Google Sheets, Gmail, and Discord, which are favored for their automation capabilities and ease of use. In addition, servers with specific functions such as SendAI Kit and Dolphin - MCP, as well as pre - built servers provided by Anthropic, are also mentioned.

This project implements an MCP server that interacts with Autodesk platform service documentation, focusing on the Model Derivative API and supporting the invocation of Autodesk APIs through tools such as Cursor or Claude.

This project is an MCP server implementation based on the Model Context Protocol, focusing on providing web browsing functionality for the Claude application and integrating Perplexity's Sonar API for real-time web searches.

MCP TED is a project based on the model context protocol, focusing on technology exploration and development.

MCPVerified is the authoritative guide to the Model Control Protocol ecosystem, providing carefully selected recommendations based on practical experience, focusing on TypeScript development, security, performance optimization, and developer experience.

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

The project describes the usage process of a local LLM server, including starting an OpenAI SDK - compatible model (such as Jan), configuring the .env file, and running a Node application. The focus is on restricting file access permissions through the MCP service.

MCPLab is a collection project of server-client examples, code snippets, design patterns, and tutorials focused on the Model Context Protocol (MCP), aiming to help developers quickly build MCP-driven applications.

kuri is a Rust framework for building Model Context Protocol (MCP) servers, focusing on developer experience and code clarity. It supports defining tools and prompts through simple macros to enable interaction between LLMs and the external world.

The Frappe MCP Server is a model context protocol server designed for the Frappe framework. It exposes the functions of Frappe to AI assistants through the official REST API, focusing on document CRUD operations, schema handling, and detailed API instructions.

This project builds an AI system based on Nasdanika capabilities, focusing on operating on resource collections (interconnected models). It describes model elements and their relationships from multiple angles through the 'narrator' processor, and uses embeddings and vector storage to implement semantic search and RAG (Retrieval - Augmented Generation). It also supports the chat completion functions of OpenAI and Ollama.

hko_mcp is a personal learning project focusing on integrating with the Hong Kong Observatory (HKO) and possibly other MCP service APIs to explore modern TypeScript tools and testing practices.

An open - source project researching the integration of Retrieval Augmented Generation (RAG) with Multi - Cloud Processing (MCP) servers, focusing on the application of free models in business software and providing a modular learning path and practical cases.

This project aims to refactor FiveM resources through the Model Context Protocol (MCP) to achieve communication and response integration between multiple servers. The current focus is on solving the 'Method not found' error that occurs during cross - server calls and optimizing the functions of the multichat - mcp server.

Upsonic is a reliability - focused framework aiming to achieve trustworthy agent workflows within an organization through advanced reliability features such as a validation layer, triangular architecture, validation agents, and an output evaluation system. It addresses key challenges such as reliability, Model Context Protocol (MCP), integrated browser and computer usage, and secure runtime.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers. This list focuses on production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integration, and other context services.

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.