You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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.
The IBM® Business Automation Workflow MCP Server is a local Model Control Protocol (MCP) server that supports integration of AI agents with IBM® Business Automation Workflow through the Model Context Protocol.
Provides tools to interact with IBM FileNet Content Manager (FNCM) repositories, enabling document management, folder operations, search capabilities and more.
An experimental local Model Context Protocol (MCP) server that enables AI agents to securely interact with IBM OpenPages GRC platform through a standardized interface.
Enables AI assistants to interact with IBM watsonx.data lakehouses using natural language. Provides tools for querying lakehouse data with SQL, exploring data catalogs and metadata, inspecting table schemas, and monitoring engines.
Query document libraries from watsonx.data using conversational language and receive human-readable responses using remote MCP server hosted in IBM infrastructure.
This MCP server enables AI assistants like Claude to interact with IBM MDM services(formarly known as IBM Match 360), allowing users to search records, retrieve data models, and manage master data through natural language conversations. The server acts as a bridge between AI assistants and IBM MDM, exposing enterprise data management capabilities through the Model Context Protocol.
MCP server that runs as part of IBM's z/OS enterprise application development editor for COBOL, PL/I, REXX, JCL, and Assembler. Enable your AI Chat in VS Code with access to your local workspace as well as your remote z/OS development environment. Interact with z/OS retrieving or updating data sets, submitting jobs and fetching job info and spool files, retrieving files from your z/OS UNIX home directory and open it in the editor, building you application and analyzing problems with guidance for how to fix them, and much more.
The TIM-MCP server provides structured access to the Terraform IBM Modules(TIM) ecosystem, enabling intelligent provisioning of IBM Cloud infrastructure resources as code.
Provides access to IBM Cloud VPC resources and security analysis capabilities, enabling AI agents to interact with cloud infrastructure, backups, and security policies.
MCP server for IBM i systems that enables AI agents to interact securely with IBM i through SQL-based tools. It provides a flexible framework for building custom agentic tools for tasks such as performance monitoring, security auditing, storage analysis, database administration and more.
Provides seamless integration with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.
MAMMAL (ibm/biomed.omics.bl.sm.ma-ted-458m) is a 'biomedical foundation model' (BMFM) that has been trained by IBM and the details can be found here -> https://github.com/BiomedSciAI/biomed-multi-alignment. This MCP server can be used to enable AI Agent systems to use some of the MAMMAL model tasks, such as: 'Protein-Protein interaction prediction', 'Protein solubility prediction' and 'Drug-Protein interaction prediction'.
Access 621 IBM Guardium Data Protection REST API endpoints through 4 intelligent MCP tools — search APIs, list categories, get API details, and execute any GDP endpoint.
Access 728+ IBM QRadar REST API endpoints through 4 intelligent MCP tools — search offenses, run AQL queries, manage reference sets, and investigate security incidents.
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.
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.
z/OS Connect - z/OS Connect based MCP server, that enables existing APIs to be used as MCP tools.
IBM API Connect MCP Server - IBM APIC MCP server exposes API Connect capabilities to your MCP clients and AI Agent workflows.
MCP Clients
We recommend using Langflow or your IDE of choice as MCP client.