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.

Zaturn is an AI-powered data analytics assistant that enables natural language queries to obtain business insights and visualization results without writing code.

iFlytek Workflow MCP Server is an AI workflow scheduling system based on the MCP protocol, supporting multiple node types and advanced orchestration modes, enabling intelligent business process automation.

Planfix MCP Server is a project that integrates the Planfix business management system with the Model Context Protocol (MCP), providing functions such as task management, project management, CRM contacts, and data analysis, and supporting operations through AI assistants such as Claude.

A Lemonade Stand game server based on the MCP protocol, enabling an AI interactive gaming experience through the Claude desktop client, including a weather system, business simulation, and other complete game mechanisms.

The MCP server project of Yelp Fusion AI provides natural - language - based local business search and interaction functions, supporting multi - turn conversations, business queries, and restaurant reservations.

Odoo MCP Improved is an enhanced model context protocol server that provides a comprehensive AI integration solution for the Odoo ERP system, including advanced tools in business areas such as sales, procurement, inventory, and accounting.

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.

Octagon Deep Research MCP is a server that provides AI - driven in - depth research and analysis capabilities. By integrating advanced in - depth research agents, it offers users research functions without rate limits, fast and comprehensive. It is compatible with multiple MCP clients, including Claude Desktop, Cursor, etc., and is suitable for research needs in multiple fields such as technology, medicine, environment, and business.

Datax is an intelligent data analysis tool for the AI era, supporting in - depth business insights and predictive analysis through natural language interaction.

This project is a developer documentation about the Model Context Protocol (MCP) Server, which details how to build, run, and integrate the MCP Server to achieve a secure connection between AI models and real-time data, tools, and business logic.

The official Coupler.io MCP Server is a model context protocol server for seamless integration with the Coupler.io API. It supports retrieving and analyzing data from multiple business data sources and provides data support for AI tools.

A dual-module project that includes a Python AI sales data analysis agent and a Node.js MCP data preview server, used to generate HTML business reports and provide restricted data access through a standardized protocol.

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.

AsyncPraiseRebuke - MCP is a service based on the Model Context Protocol (MCP), providing business feedback and contact discovery tools, including AI agent processes, and supporting integration with MCP - compatible clients such as Claude Desktop.

MCP is an intelligent dialogue platform server that provides role-based AI advisor services, supports multiple LLM suppliers, semantic memory management, and real-time streaming response, and is suitable for scenarios such as business consulting and technical support.

The Build Vault MCP server transforms The Build Podcast into a searchable knowledge base. Through hybrid search technology that combines semantic similarity and full-text search, it provides AI insights into business ideas, frameworks, and product strategies.