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Manage OpenText Knowledge Discovery engines, databases, documents, and configuration with natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP-KD Server" yet — see the docs or source repo.
List all current OpenText Knowledge Discovery databases and return each engine's running status and key configuration details.
A structured overview of databases, engine statuses, and major configuration parameters.
Create a new database for a customer support knowledge base named support_kb, then verify that it is available.
The creation result, database identifier, and a post-creation availability check.
Delete documents marked as invalid in the archive_db database, then inspect the engine configuration to confirm the processing parameters meet current requirements.
The deletion result, number of affected documents, and a configuration review summary.
Secure internal knowledge retrieval with permission-aware access control and citation enforcement.
Centralize knowledge, run semantic search, ingest documents, and generate RAG answers.
Manage, version, and query a governance-grade Markdown knowledge base.
Search, validate, and cross-reference structured Markdown knowledge vaults for AI workflows.
Connect AI to a knowledge base for semantic retrieval and compliant content management.
Manage Kubernetes clusters, resources, backups, and diagnostics using natural language.