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IBM MCP

A collection of Model Context Protocol (MCP) servers, MCP Clients and Developer Tools by IBM. Connect your IBM products to any AI Agent or AI application.

What is MCP?

MCP is an open-source protocol designed to enable AI models to securely interact with local and remote resources through standardized server implementations. This collection of IBM MCP services focuses on both production-ready and experimental MCP servers that enhance AI capabilities by providing file access, database connections, API integrations, and additional contextual services.

Available MCP Servers

Automation

Data & Analytics

Infrastructure & Deployment

  • IBM Cloud MCP Server - Enhance your LLM with tools from IBM Cloud.
  • IBM Cloud Code Engine MCP Server - This MCP server provides tools to list and inspect Code Engine projects, applications, revisions, domain mappings, and secrets.
  • IBM Cloud VPC MCP Server - Provides access to IBM Cloud VPC resources and security analysis capabilities, enabling AI agents to interact with cloud infrastructure, backups, and security policies.
  • Terraform MCP Server - Provides seamless integration with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.

Observability & Monitoring

  • IBM Instana MCP Server - This MCP server provides tools to list and inspect IBM Instana resources, including applications, infrastructure resources etc.
  • IBM Storage Insights MCP Server - Leverage key IBM Storage Insights monitoring capabilities via an MCP interface.

Security

  • Vault Radar MCP Server - Provides access to HCP Vault Radar data sources, secret risks, and events, enabling LLMs to query and analyze security information using natural language.

🛠️ Developer Tools

  • BeeAI Framework - BeeAI Framework is an open-source framework for building production-grade multi-agent systems, supporting both Python and TypeScript. It integrates with the Model Context Protocol (MCP) as a MCP client, and is hosted by the Linux Foundation under open governance.
  • ContextForge MCP Gateway - MCP server, feature-rich gateway, and proxy that federates MCP and REST services-delivering unified discovery, authentication, rate-limiting, observability, multi-transport protocols, and an optional HTMX-powered admin UI through a single endpoint.
  • IBM API Connect for GraphQL - Turn any GraphQL schema into a MCP server incl. authentication.
  • Langflow - Langflow is an open-source visual builder that lets developers rapidly prototype and build AI applications, it integrates with the Model Context Protocol (MCP) as both an MCP server and an MCP client.
  • MCP Composer - FastMCP based library to manages multiple MCP servers & tools with dynamic registration, authentication, and unified interface.. Supports multiple tool types, such as OpenAPI (REST), GraphQL, CLI-based tools, client SDKs, and nested MCP servers.
  • WxMCPServer - IBM webMethods Hybrid Integration (IWHI) based MCP server, that enables existing APIs to be used as MCP tools.

MCP Clients

We recommend using Langflow or your IDE of choice as MCP client.

💬 Community

Participate in the Discord community.

🤝 Contributing

Everyone is invited to contribute to this repository, see CONTRIBUTING.md for information.

Thanks to all of our amazing contributors!

⭐ Support

If you find these IBM MCP servers useful please consider starring the repository and contributing new servers, examples or improvements!

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

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