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OCM MCP Server

MCP Server

Unified Red Hat OpenShift cluster management via Model Control Protocol

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Updated Jun 2, 2025

About

The OCM MCP Server exposes a set of intelligent tools for managing OpenShift clusters, accounts, and infrastructure through the Model Control Protocol. It simplifies interactions with Red Hat’s OCM API by providing ready‑to‑use tools for cluster info, upgrades, logs, alerts, and more.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

OCM MCP Server in Action

The OCM MCP Server is a purpose‑built bridge between the Model Context Protocol and Red Hat’s OpenShift Cluster Manager (OCM) API. It solves the common pain point of reconciling disparate cluster‑management endpoints into a single, AI‑friendly interface. By exposing a curated set of 12 intelligent tools—ranging from cluster discovery to alert aggregation—the server lets AI assistants retrieve rich, context‑aware data without the developer having to write custom HTTP requests or parse complex JSON structures. This abstraction is especially valuable for teams that rely on AI assistants to surface operational insights, automate remediation steps, or generate documentation from live cluster states.

At its core, the server translates a high‑level tool call into the appropriate OCM API request. For example, automatically detects whether a cluster is HCP or Classic and selects the correct endpoint, while smartly chooses between node pools or machine pools based on the cluster type. These heuristics reduce boilerplate and guard against API evolution, ensuring that AI assistants can remain agnostic to underlying changes. The server also enriches responses with additional context—such as severity breakdowns for alerts or subnet analysis for VPC information—so that the assistant can present actionable summaries rather than raw data dumps.

Key capabilities include dynamic external‑ID resolution for service logs, automatic DNS and ingress extraction, and comprehensive operator status monitoring with condition summaries. The tool set also covers account management via , enabling assistants to link user identities to cluster resources. By bundling these functions into a single MCP server, developers can embed sophisticated cluster intelligence directly into conversational flows, trigger automated scripts, or feed the data into downstream analytics pipelines.

Real‑world scenarios span DevOps automation, compliance reporting, and incident response. An AI assistant could, for instance, answer a question like “What is the current upgrade policy for cluster X?” by invoking , or alert a support engineer to high‑severity alerts by querying . In continuous delivery pipelines, the server can provide up‑to‑date operator health checks or VPC topology before deploying new workloads. Because the server is MCP‑compatible, it integrates seamlessly with any AI platform that understands the protocol, allowing teams to plug it into existing workflows without custom adapters.

The OCM MCP Server’s standout advantage lies in its domain‑specific intelligence combined with an open, protocol‑driven architecture. Developers benefit from a single point of integration that abstracts both API complexity and cluster‑type nuances, while AI assistants gain ready access to curated, actionable insights. This synergy accelerates productivity, reduces error rates, and empowers teams to harness the full power of OpenShift Cluster Manager through conversational AI.