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.

The Quarkus Model Context Protocol (MCP) Server is an open-source protocol server that supports easy integration of LLM applications with external data sources and tools through declarative and programmatic APIs.

This project compiles a list of popular Model Context Protocol (MCP) servers based on Smithery.ai usage data. MCP is an open-source standard developed by Anthropic for establishing secure two-way connections between data sources and AI tools.

OpenDeepSearch is an open - source research tool and an alternative to Perplexity Deep Research. It provides in - depth search and research capabilities through the Model Context Protocol (MCP). It can break down complex problems into sub - problems, perform multiple rounds of searches using the Brave Search API, analyze the results, and generate structured research reports. It supports citation of sources and can be integrated into MCP clients such as Claude Desktop and Cursor.

Auth0 MCP Server is an open - source project that integrates Auth0 management functions into LLMs and AI agents through the Model Context Protocol, allowing users to perform Auth0 management operations through natural language.

Unity-MCP is an open - source project that connects the Unity game engine with AI assistants. It implements AI - assisted development, automated testing, and runtime debugging functions through the Model Context Protocol.

The Storm MCP server is an open protocol that implements the Anthropic Model Context Protocol, supports the integration of LLM and RAG data sources, and provides functions such as context sharing, tool system, file management, and API integration.

The Flutter MCP Server is an open - source implementation of the Model Context Protocol (MCP) for the Dart/Flutter ecosystem. It provides a unified API interface for AI assistants and developer tools, supports remote calls to the Dart/Flutter development toolchain, and enables secure and programmable automated development processes.

The Model Context Protocol (MCP) is an open - source protocol that provides a series of reference implementations and community - developed servers. It aims to provide large language models (LLMs) with secure and controllable access to tools and data sources. These servers demonstrate the diversity and scalability of MCP, covering various functions from file system operations to database integration, from web search to AI image generation.

PhonePi MCP is an open - source project that can transform your phone into a toolbox for AI assistants. It enables remote control of phone functions through the Model Context Protocol, including managing contacts, messages, settings, etc. It emphasizes local deployment and network security.

This is a curated list of Model Context Protocol (MCP) servers in the cryptocurrency field, containing multiple open - source projects that provide services such as blockchain data query, cryptocurrency trading, real - time market indices, and news and information.

The Kernel MCP Server is an open - source server based on the Model Context Protocol (MCP), providing AI assistants with secure access to Kernel platform tools and browser automation capabilities. It supports cloud application deployment, headless browser control, document search, etc., and uses OAuth 2.0 authentication to ensure security.

The Browserbase MCP Server is an open - source project based on the Model Context Protocol (MCP), providing cloud browser automation capabilities, supporting web page interaction, data extraction, screenshot taking, and JavaScript execution, etc., to help LLM applications seamlessly integrate with external data sources and tools.

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.

A multi - functional document processing MCP server that supports scraping, processing, and intelligently retrieving third - party software package documentation from multiple sources, integrates the OpenRouter multi - model API, and provides hybrid search capabilities.

openai - tool2mcp is an open - source bridging tool that encapsulates OpenAI's built - in high - quality tools (such as web search and code interpreter) into an MCP protocol server, enabling MCP - compatible models like Claude to use these powerful functions.

The Model Context Protocol (MCP) is an open - source protocol released by Anthropic, aiming to solve the standardization problem of connecting large language models (LLMs) with external data sources and systems. It provides a structured framework that enables models to integrate and utilize external context, thereby expanding their capabilities and improving response accuracy. MCP supports functions such as knowledge expansion, external tool calls, and pre - written prompts.

SEC EDGAR MCP is an open - source MCP server that connects AI models to the EDGAR database of the U.S. Securities and Exchange Commission (SEC) and provides corporate financial data query tools.

MCPXcode is an open - source project that implements the Model Context Protocol (MCP) specification, providing a structured protocol between Xcode and AI assistants for context exchange and tool execution.

The OpenAlex MCP Server is an open - source project that implements the Model Configuration Protocol (MCP) to provide structured access to global academic literature for AI assistants.

The Voyp MCP server is an open - source project based on the Model Context Protocol, enabling AI systems such as Claude to make and manage phone calls via VOYP.

The Orion Vision MCP Server is an open - source project based on the Model Context Protocol (MCP), providing seamless integration with Azure Document Intelligence services and supporting analysis and data extraction functions for multiple document types.

Hermes Search MCP Server is an open - source service based on the Model Context Protocol, providing full - text and semantic search functions integrated with Azure Cognitive Search, and supporting multiple AI client tools.

Model Context Protocol (MCP) is an open standard that allows developers to establish a secure two-way connection between data sources and AI tools. This project provides a gem package implemented in Ruby, including full development process support and type checking functions.

OmniMind is an open - source Python library designed to simplify Model Context Protocol (MCP) integration and support the development of AI agents, workflows, and automation. It offers plug - and - play functionality, has built - in multiple tools, and provides intelligent responses based on Google Gemini, making it suitable for developers and beginners to quickly build AI applications.

MCP.science is an open - source project that provides a variety of MCP servers designed specifically for scientific research applications, enabling AI models to interact with scientific data, tools, and resources through a standardized protocol.

The Blockscout MCP Server is an open - source service based on the Model Context Protocol (MCP), aiming to provide structured blockchain data access for AI agents, IDEs, and automation tools. It encapsulates the Blockscout API, supports multi - chain queries, including balances, tokens, NFTs, and contract metadata, and enables tools such as Claude and Cursor to analyze and utilize this data through context - aware APIs.

An open - source project that integrates Blender with local AI models to control 3D modeling through natural language.

Portainer MCP is an open - source project that implements the Model Context Protocol (MCP). It connects AI assistants to the Portainer container management platform through a standardized interface, supporting querying and managing Docker/Kubernetes environments.

This project contains the specifications and protocol patterns of the model context protocol, provides definitions in both TypeScript and JSON Schema formats, and includes an open - source contribution guide and MIT license.

The Model Context Protocol (MCP) is an open-source protocol that provides a series of reference implementations and community-built servers, enabling large language models (LLMs) to access tools and data sources securely and controllably. The project includes implementations of various functional servers, covering areas such as file systems, databases, search, and API integration, and supports development with TypeScript and Python SDKs.

Createve.AI Nexus is an open - source project that bridges the gap between AI agents and enterprise systems by implementing the Model Context Protocol (MCP) standard. It provides secure, real - time data access and system integration capabilities. It supports multiple AI platforms, has an enterprise - level security architecture, and can connect various business applications, sensor data, and document management systems.

The Model Context Protocol (MCP) is an open-source protocol that provides a series of reference implementations and community-built servers, enabling large language models (LLMs) to access tools and data sources securely and controllably. This project includes various types of server implementations, covering multiple domains such as file systems, databases, Git, and Slack, and supports TypeScript and Python SDKs.

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.

MCP - OpenLLM is a LangChain wrapper tool for seamless integration of different MCP servers and open - source large language models (LLMs), supporting the use of LangChain community models.

This project is an experimental Aider MCP server used to offload AI programming tasks to the Aider open - source assistant to improve development efficiency and flexibility. It supports multiple AI models, provides code modification and model list functions, and integrates with Claude Code through the MCP protocol.

MCP.science is an open - source project that provides a variety of MCP servers specifically designed for scientific research, enabling AI models to interact with scientific data, tools, and resources through standardized protocols.

Model Context Protocol (MCP) is an open - source protocol that provides a series of reference implementations and community - developed servers, enabling large language models (LLMs) to securely and controllably access tools and data sources. The project includes server implementations with various functions, such as file system operations, database access, Git management, Slack integration, etc., and supports TypeScript and Python SDKs.

Gitlab MCP Server is an open - source service based on the Model Context Protocol, inherited from the MCP server on Github.