Enterprise Content Management for Kubernetes & OpenShift
Deploy and manage comprehensive content management solutions with AI-powered capabilities, modern APIs, and cloud-native architecture.
A curated bundle of advanced AI and compliance capabilities for enterprises requiring more than the standard deployment.
AI-driven PII and sensitive-data redaction exposed as an MCP tool. Integrates with Redaction MCP server for policy-based document sanitisation at scale.
Full legal hold lifecycle — place, release, audit — surfaced as MCP tools. Enables AI assistants and automation pipelines to manage litigation holds without custom integrations.
Dedicated LLM proxy layer for routing, token metering, and credential isolation across IBM watsonx.ai and third-party providers. Included in Premium for full AI workload management.
Watson Document Understanding — intelligent OCR, AI classification, and workflow orchestration bundled for high-volume document processing pipelines.
Core MCP server and Reasoning service with Navigator AI Agent for intelligent content processing and agentic AI capabilities.
Kubernetes-native operators with automated lifecycle management, horizontal scaling, and high availability support.
Role-based access control, data encryption, audit trails, and compliance-ready deployment patterns for regulated industries.
Content Platform Engine, Content Navigator, GraphQL APIs, CMIS services, and workflow automation in one platform.
Helm-based installation, Python DevOps scripts, and K8s Operator for flexible deployment options.
Automated upgrades, backup and recovery, multi-tenant isolation, and comprehensive monitoring capabilities.
Manages Content Platform Engine (CPE), Content Navigator (ICN), GraphQL APIs, and CMIS services.
Deploys Core MCP server and Reasoning service with Navigator AI Agent for intelligent content processing.
Deploys IBM Workflow and Document Understanding (WDU) Services for intelligent document extraction, automated classification, and workflow orchestration.
LLM proxy that provides a unified, protocol-normalized gateway for AI model access, intelligent routing, and lifecycle management across IBM Content Cortex environments.
Manages IBM Cloud Pak licensing and entitlement tracking for Content Cortex deployments.
Collects and reports usage metrics for IBM Cloud Pak deployments and compliance tracking.
IBM Content Cortex exposes its AI capabilities as a remote MCP server, letting any MCP-compatible client connect directly to your ECM repository — no local integration required.
MCP Client
Connect Anthropic Claude directly to your Content Cortex deployment. Browse repositories, search documents, trigger workflows, and perform redaction — all through natural language in Claude's chat interface.
claude_desktop_config.json){
"mcpServers": {
"ccx-core-mcp": {
"url": "https://<core-mcp-host>.containers.appdomain.cloud/mcp",
"disabled": false
}
}
}🔐 Authentication is handled via OAuth 2.0 — Claude will prompt for authorization on first connect. No API keys or headers required in the config.
MCP Client
IBM Bob's native MCP support lets developers query, update, and manage enterprise content without leaving their IDE. Pair Bob's agentic skills with Content Cortex tools for end-to-end ECM automation inside your coding workflow.
{
"mcpServers": {
"ccx-core-mcp": {
"url": "https://<core-mcp-host>.containers.appdomain.cloud/mcp",
"disabled": false
}
}
}🔐 Authentication is handled via OAuth 2.0 — Bob will complete the authorization flow automatically on first connect. No API keys or headers required in the config.
Any MCP-compatible client (VS Code Copilot, Cursor, Continue.dev, and more) can connect using the same /mcp endpoint with OAuth 2.0.
See the MCP integration guide for OAuth scopes, client registration, and tool definitions.
git clone https://github.com/ibm-ecm/ibm-content-cortex-containers.git
cd ibm-content-cortex-containers/scripts
# Create and activate virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -r requirements.txtInteractive deployment of Content and AI Services operators with guided configuration.
python deploy_operator.pyGather deployment properties, generate deployment artifacts, and validate configuration.
# Gather deployment properties
python prerequisites.py gather
# Generate deployment artifacts
python prerequisites.py generate
# Validate all properties
python prerequisites.py validate