Coco AI is a unified search platform that integrates enterprise applications and data (such as Google Workspace, Dropbox, GitHub, etc.), providing cross-platform search and AI-driven team chat functions, aiming to improve work efficiency and collaboration experience.

Wren Engine is a semantic engine designed for MCP clients and AI agents, providing semantic layer support to enable AI to accurately understand enterprise data models and business logic. It supports multiple data sources and is embedded in MCP clients to ensure the accuracy and governance of data interaction.

HiMarket is an out-of-the-box enterprise-level AI open platform solution that provides three core components: a management backend, a developer portal, and an AI gateway. It supports packaging AI capabilities such as model services and MCP Server into standardized API products and publishing them.

An enterprise-level MCP server development framework based on FastAPI that supports automatic conversion of traditional APIs into AI-callable tools, providing a standardized development process and dependency injection design.

CrewAI Enterprise - level MCP Server implementation for deploying and managing AI workflows

ToolBox is an AI-driven automated tool development platform that provides modular architecture, AI-assisted tool generation, enterprise-level service integration, and real-time update functions.

LumenX-MCP is an open-source enterprise-level intelligent server for legal expenses, providing queryable intelligent analysis services by unifying multi-source data (such as e-billing platforms, ERP systems, etc.), and supporting AI integration and high-performance data access.

An enterprise-level MCP server that provides intelligent analysis of GitHub repositories and AI development assistance, including 11 tools, supporting Docker deployment and real-time monitoring.

The Pierre Fitness API is a multi-protocol fitness data API that supports securely obtaining fitness data from providers such as Strava and Fitbit. It provides intelligent analysis for AI applications through MCP, A2A, and REST APIs, including enterprise-level API management, real-time analysis, and intelligent analysis of multiple sports types.

Octocode MCP is an advanced AI code assistant that provides intelligent search and discovery functions across the GitHub and npm ecosystems. It helps developers quickly understand codebases, analyze project architectures, discover security patterns, and supports enterprise-level security and cross-platform use.

An enterprise HR token airdrop system based on the Solana blockchain, providing functions such as wallet management, token creation, and liquidity management, supporting role allocation and email notification.

This project demonstrates how to integrate an AI agent powered by Azure OpenAI with the Microsoft Fabric data warehouse through the Model Context Protocol (MCP), using GraphQL as a common data connection layer to achieve bidirectional access to enterprise data.

This is an MCP server that provides AI assistants with comprehensive access to Cisco Webex messaging functions. It includes 52 tools and supports enterprise-level functions such as message sending, space management, team collaboration, user management, and Webhook integration. It also supports Docker containerization and dual transport modes.

SQLite MCP Server is an enterprise-level SQLite database enhancement tool that provides 73 dedicated tools, supporting advanced analysis, JSON operations, text processing, vector search, geospatial operations, and intelligent workflow automation. It has AI-native JSON operations and enhanced security.

Gaia-X is an enterprise-level AI application platform based on a new generation of AI paradigms. It solves the core pain points of enterprise AI products through an innovative technical architecture and provides core functions such as multi-agent collaboration, natural language RPA, and MCP protocol support.

Graphiti MCP Server is an enhanced knowledge graph framework specifically designed for AI agents to build and query time - aware knowledge graphs in dynamic environments. It exposes core functions through the MCP protocol, supports continuous integration of user interactions, enterprise data, and external information, and provides capabilities for incremental updates, efficient retrieval, and precise historical queries.

FastApply MCP Server is an enterprise-level code intelligence platform that provides comprehensive code analysis, search, and refactoring capabilities through local AI models, AST semantic search, security scanning, and intelligent pattern recognition. It supports multi-language development and large codebase processing.

The Explorium MCP Server is a service based on the Model Context Protocol that connects AI assistants to the Explorium business database and provides enterprise data query functionality.

GemForge is an enterprise-level tool that connects Google Gemini AI with the MCP ecosystem. It provides functions such as real-time web access, advanced reasoning, code analysis, and multi-file processing. It supports more than 60 file formats and has intelligent model selection and a powerful error handling mechanism.

A collection of Model Context Protocol (MCP) servers, providing reference implementations and community resources, supporting enterprises to access AI tools in a secure and controllable manner, including service examples such as weather and search.

Enterprise-level MCP task management server, providing intelligent task orchestration, evaluation and scoring, and sessionized workflow tracking, designed specifically for AI assistant integration.

An enterprise - level AI assistant system based on the Model Context Protocol, with intelligent server selection, text analysis, code review, sentiment analysis, and knowledge management functions, providing an aesthetically pleasing Web interface.

AgentCraft is an enterprise-level AI agent framework that provides secure and scalable intelligent agent services.

An MCP server integrating the Vibe Coding method and knowledge graph technology, using the Kuzu graph database for AI-assisted software development, supporting multi-language code analysis and enterprise-level security performance.

Microsoft MCP Server for Enterprise is a publicly previewed server based on the Model Context Protocol that allows AI agents to access Microsoft Entra data through natural language queries and convert them into Microsoft Graph API calls, aiming to help developers and IT administrators integrate organizational data management into AI workflows.

LumenX-MCP is an open-source enterprise-level intelligent server for legal expenditure. It provides queryable legal and financial data analysis by unifying multi-source data (such as e-billing platforms and ERP systems), and supports AI agents and extended functions.

This project is a bridging service that connects Hasura PromptQL with AI assistants (such as Claude), enabling natural language query of enterprise data through the Model Context Protocol.

An enterprise HR token airdrop tool based on the Solana blockchain, supporting role - based allocation and email notifications

An enterprise-level high-performance MCP server supporting Wasm and Rust, providing an integration platform for tools, resources, and process prompts for LLMs.

An AI-driven automated tool development platform that provides modular architecture, AI-assisted development, enterprise-level service integration, and real-time update functions.

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.

Vulcan File Ops is a high - performance file operation server based on the Model Context Protocol (MCP) that can transform desktop AI assistants (such as Claude Desktop, ChatGPT Desktop, etc.) into powerful development partners. It provides secure file reading and writing, batch operations, document processing, image analysis, and Shell command execution functions. It features enterprise - level security controls, dynamic directory registration, and intelligent tool filtering, allowing users to have full control over local file system access.

This is an enterprise-level MCP server that connects SAP OData services with AI capabilities, providing enhanced security, simplified configuration, modular authentication, and comprehensive cloud-native integration.

A SharePoint integration project based on.NET, Graph API, and Semantic Kernel, which uses a modular architecture to enable an AI chatbot to securely access enterprise SharePoint data.

MockLoop MCP is the world's first AI-native API testing platform integrating the Model Context Protocol (MCP). It revolutionizes API testing through AI-driven scenario generation, automated test execution, and intelligent analysis capabilities. The platform offers 5 AI prompts, 15 scenario resources, 16 testing tools, and 10 context tools, supports a dual-port architecture and stateful testing workflows, and is suitable for enterprise-level compliance and advanced analysis requirements.

A well - organized collection of Model Context Protocol (MCP) servers, covering enterprise support implementation, demonstration implementation, integration tools, community contributions, and development frameworks, aiming to provide developers with rich resources and tools.

A GitHub Enterprise license data query service based on the MCP protocol, which allows AI agents to obtain enterprise-level data such as license usage and user permissions through the API.

The Guru Remote MCP server provides secure and real-time access to the enterprise knowledge base for AI assistants and development tools through the model context protocol, supporting knowledge retrieval, card management, and permission control.

The ARC MCP Server is an innovative platform that provides tools such as document assistance, API integration, project generation, and deployment support through the seamless integration of AI models and the ARC enterprise application framework, accelerating the development of enterprise-level cloud-native applications.

DollhouseMCP is a server based on the Model Context Protocol (MCP) that provides dynamic AI character management functions and supports sharing and commercializing characters through the GitHub community. It includes 23 tools, covering the full lifecycle management of character creation, activation, editing, validation, etc., and has enterprise-level security measures and an automatic update system.