IBM/mcp

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—such as 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 between AI models and specific IBM products or third-party tools (e.g., IBM MQ, watsonx.data, Terraform, Vault), enabling AI agents to perform tasks like querying lakehouses, managing cloud resources, or investigating security incidents via natural language.

Who it’s for

This is designed for developers and AI architects building AI agents or applications that need to integrate with enterprise-grade software, cloud infrastructure, and data management systems.

Highlights

• Broad Enterprise Integration: Includes servers for automation, business workflows, data analytics (watsonx.data), and security (QRadar, Guardium).
• Infrastructure as Code: Provides MCP servers for Terraform and IBM Cloud VPC to enable agentic provisioning of resources.
• HCP Vault Integration: Includes bridges for HashiCorp Vault and Consul for secure secret and network management.
• Developer Frameworks: Integrates with the BeeAI Framework for multi-agent systems and Langflow for visual AI prototyping.
• Specialized Research: Features the MAMMAL-MCP server for biomedical foundation model tasks like protein interaction prediction.