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.
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.
| Server name | Description | Usage |
|---|---|---|
| IBM Decision Intelligence MCP Server | This MCP server provides tools to invoke decision services deployed by IBM Decision Intelligence or IBM Automation Decision Services |  |
| IBM MQ Server | Provides access to IBM MQ queue managers health checks, and to run any MQSC command against a specific queue manager. | see link for instructions |
| IBM ODM MCP Server | An MCP Server enabling integration with IBM Decision Server Runtime to retrieve and invoke decision services. | |
| Server name | Description | Usage |
|---|---|---|
| DataStax Astra DB | An MCP server for Astra DB workloads. | |
| Docling MCP Server | Turn unstructured data into structured data using Docling, with tools for document conversion, processing and generation. | |
| IBM watsonx.data Document Retrieval MCP Server | Query document libraries from watsonx.data using conversational language and receive human-readable responses. | see link for instructions |
| Server name | Description | Usage |
|---|---|---|
| IBM Cloud MCP Server | Enhance your LLM with tools from IBM Cloud. | see link for instructions |
| IBM Cloud Code Engine MCP Server | This MCP server provides tools to list and inspect Code Engine projects, applications, revisions, domain mappings, and secrets. | see link for instructions |
| 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. | see link for instructions |
| Terraform MCP Server | Provides seamless integration with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development. | |
| Server name | Description | Usage |
|---|---|---|
| IBM Instana MCP Server | This MCP server provides tools to list and inspect IBM Instana resources, including applications, infrastructure resources etc. | see link for instructions |
| IBM Storage Insights MCP Server | Leverage key IBM Storage Insights monitoring capabilities via an MCP interface. | see link for instructions |
| Server name | Description | Usage |
|---|---|---|
| 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. | |
- 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.
We recommend using Langflow or your IDE of choice as MCP client.
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