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.

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.

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.

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.

LangCare MCP FHIR Server is an enterprise - level MCP server designed for FHIR R4 electronic medical record systems, enabling AI assistants to securely access and manage patient health records. It provides four general FHIR operation tools, has over 40 built - in clinical workflow guidelines and interactive UI applications, supports multiple back - ends such as EPIC, Cerner, and GCP, is written in Go language, and has enterprise - level security and HIPAA compliance.

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.

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.

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.

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.

Atlas MCP Server is an enterprise - level AI development tool that provides 33 professional tools, including RAG semantic search, ML defect prediction, intelligent code migration, and comprehensive test generation. It enhances the development capabilities of the IDE through an intelligent analysis pipeline.