IBM/mcp

A collection of Model Context Protocol (MCP) servers, clients and developer tools by IBM.

What it solves

This repository provides a comprehensive collection of Model Context Protocol (MCP) servers, clients, and developer tools. It solves the problem of connecting AI agents and applications to a wide array of enterprise resources—including databases, cloud infrastructure, security tools, and business automation workflows—using a standardized, secure protocol.

How it works

It implements the Model Context Protocol (MCP), an open-source standard that allows AI models to interact with local and remote resources. The collection includes various specialized servers that act as bridges, exposing specific IBM product APIs (such as watsonx.data, QRadar, and IBM MQ) as tools that AI agents can discover and use to perform actions or retrieve context.

Who it’s for

This is designed for developers and architects building AI agents or AI-powered applications who need to integrate their models with enterprise-grade software, infrastructure, and data sources.

Highlights

  • Broad Enterprise Integration: Includes servers for automation (IBM MQ, App Connect), business automation (Workflow, Decision Intelligence), and security (QRadar, Guardium).
  • Data & Analytics Access: Provides tools for interacting with watsonx.data lakehouses, Astra DB, and document libraries.
  • Infrastructure Management: Enables AI agents to manage IBM Cloud VPC, Code Engine, and Terraform resources.
  • Developer Productivity: Includes tools like the BeeAI Framework for multi-agent systems and the ContextForge MCP Gateway for federating services.
  • Specialized Research: Features the MAMMAL-MCP server for biomedical foundation model tasks like protein interaction prediction.

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