Enables Claude Code to benchmark llm-d from plain English, providing 35 tools and 5 workflow prompts for probing clusters, planning, deploying, running benchmarks, and analyzing results via the Model Context Protocol.
Enables natural language performance analysis and optimization of AWS Aurora MySQL databases, using AI (Bedrock, Claude) and RAG to generate HTML reports and recommendations.
Enables managing OpenI platform resources (login, query nodes, submit jobs, view logs) via natural language in Claude or Codex, following a kubectl/docker-style CLI.
Enables Claude Desktop to interact with Snowflake databases through natural-language SQL queries. Built in Python, it allows secure local integration between LLMs and enterprise data systems for database operations and analysis.
