The IBM i MCP server is a server based on the Model Context Protocol, providing SQL tools, monitoring, and automation functions for the IBM i system, supporting multiple client integrations and containerized deployment

This project implements a customizable MCP server for executing the RTE protocol, supporting multiple terminal types and SSL connections, and providing Java utility classes for easy function expansion.

This project builds a Retrieval Augmented Generation (RAG) server based on IBM Watsonx.ai, uses ChromaDB for vector indexing, and exposes interfaces through the Model Context Protocol (MCP). The system can process PDF documents and answer questions based on the document content, realizing an intelligent question answering function that combines large language models with specific domain knowledge.

This is an MCP server for the IBM FileNet content manager, providing a standardized interface for AI models and supporting functions such as document management, folder operations, metadata query, and search.

The Maximo MCP Server is an AI integration tool based on the Model Context Protocol that can directly connect AI assistants to the IBM Maximo environment, enabling automatic API discovery, real-time data querying, code generation, and UI building functions, significantly improving the efficiency of Maximo development.

The MCP server provides IBM Cloud tools for LLM to use

This project is a read-only MCP server developed by CData for IBM Cloud Object Storage. It converts cloud storage data into a relational SQL model through the JDBC driver, enabling LLMs (such as Claude Desktop) to query real-time data using natural language.

The IBM Cloud MCP Server encapsulates the IBM Cloud CLI through over 80 tools, providing a comprehensive set of interfaces for cloud service operations such as authentication, resource management, cloud - native, and billing.

This project is a Python chatbot server based on IBM Watsonx.ai and the MCP protocol. It provides medical consultation functions, supports building a Web interface through Flask, and realizes symptom diagnosis and personalized greetings.