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.

The Xero MCP Server is a service implementation based on the Model Context Protocol (MCP) for connecting Xero's API and the MCP protocol, providing standardized access to accounting and business functions.

An MCP server that integrates with Lexware Office (formerly Lexoffice), providing an interface for managing business operations through the model context protocol.

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.

Proxy Feishu robots through the MCP server to achieve the integration of business logic between LLM models such as Claude/Cursor and Feishu robots

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.

A server that converts traditional Web APIs into MCP tools, supporting batch API registration and request header management, simplifying the docking between business systems and large models.

BPMN - MCP is a server based on the Model Context Protocol (MCP) for programmatically creating and operating BPMN 2.0 workflow diagrams. It allows AI assistants and other tools to generate, edit, and export business process diagrams in standard BPMN format.

MCP-ANY-REST is a REST API connector based on the Model Context Protocol standard. It enables secure and efficient connection between AI models and business systems through the ZML configuration language, supporting service orchestration and token authentication.

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.

The Xero MCP Server is a service that implements the Model Context Protocol (MCP), providing a standardized access interface to Xero accounting and business functions, supporting functions such as OAuth2 authentication, contact management, and invoice creation.

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.

A semantic metrics modeling assistant based on the MCP protocol that helps data teams define, validate, and visualize business metrics through a conversational interface. It provides enterprise-level data persistence, trust scoring, and BI tool integration, reducing cognitive burden and building data trust.

The GoHighLevel MCP server is a model context protocol service that provides comprehensive integration with the GoHighLevel API v2, supporting interactions with CRM, marketing automation, and business management tools, including functions such as contact management, conversation messages, calendar appointments, sales opportunities, payments, and automated workflows.

The SAP BusinessObjects BI MCP server developed by CData exposes SAP BusinessObjects BI data in a relational SQL model through the JDBC driver, providing a natural language query interface for LLMs.

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.

The Dynamics 365 MCP server is a middleware based on the Model Context Protocol, providing a toolset for interacting with Dynamics 365, supporting user information query, account management, and business opportunity association operations.

The Triplewhale MCP Server is a server based on the Model Context Protocol (MCP) standard, used to connect large language models (such as Claude) with the Triplewhale platform to achieve business data query and analysis functions through natural language.

An intelligent tool scheduling system based on FastMCP 2.0. The large model can autonomously call over 26 tools, supporting knowledge graphs, vector search, and real - time progress display, and enabling automation of enterprise knowledge management and business data analysis.

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.

The Triplewhale MCP Server is a server based on the Model Context Protocol (MCP) standard, used to connect large language models (such as Claude) to the Triplewhale platform, enabling business data query and analysis through natural language.

A SQLite Model Control Protocol (MCP) server implemented in Rust, providing the ability to manage SQLite databases through a standardized protocol, supporting functions such as data query, table structure management, and business insight storage.

The Altibase MCP Server is a model context protocol server based on the Altibase database, providing database interaction and business intelligence functions, including SQL query execution, business data analysis, and automatic generation of business insight memos.

This project showcases a lightweight multi-agent AI system that combines the Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG) for business analysis. The system provides statistical analysis of business data and knowledge retrieval functions for natural language queries by coordinating multiple dedicated tool servers. It features a modular design that facilitates expansion and the switching of LLM backends.

An open - source project researching the integration of Retrieval Augmented Generation (RAG) with Multi - Cloud Processing (MCP) servers, focusing on the application of free models in business software and providing a modular learning path and practical cases.