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

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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 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.

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.

An intelligent conversational robot project based on large models, supporting multi - platform access and multiple AI models, with text, voice, image processing, and plugin expansion capabilities, and can customize enterprise AI applications.

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.

Boycott is a community-led project aimed at helping consumers make informed choices through publicly transparent corporate ethical data and motivating enterprises to assume social responsibility by recording their ethical and unethical behaviors.

Fork Parity MCP is an enterprise-level branch synchronization management tool that provides AI-driven commit analysis, automated conflict detection, and GitHub Actions integration to help teams efficiently maintain the synchronization of branches in upstream repositories.

A professional MCP server that enables AI assistants to monitor network services, APIs, and HTTP endpoints with enterprise-level security. Suitable for DevOps, monitoring, and ensuring service availability.

Open-MCP-Server is an AI business data integration service framework that supports multi - protocol access, simplifying the connection between enterprise systems and AI platforms.

A GitHub Enterprise data query service based on the MCP protocol that allows AI agents to securely obtain enterprise license usage, user permissions, and other data through the API. It supports dual - transport mode and Kubernetes deployment.

This project provides code examples for developing and running an MCP server on Oracle OCI, including Python development, AI agent integration, semantic search, SelectAI integration, and connection with AI assistants such as ChatGPT, to help build enterprise - level AI applications.

The Alibaba Cloud CloudEffect MCP service provides AI assistants with the ability to interact with the CloudEffect platform, supporting functions such as code management and project collaboration, and helping enterprise development teams improve efficiency.