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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.
Manage project knowledge and requirements with fast full-text search and updates.
Centralize knowledge, run semantic search, ingest documents, and generate RAG answers.
Search, validate, and cross-reference structured Markdown knowledge vaults for AI workflows.
Index GitHub Markdown into Cloudflare KV for fast AI search and retrieval.
An MCP server for persistent memory, knowledge bases, and project summaries.