llm-d-bench-mcp
AI & Memory
Local
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.
How to connect
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Glama registry
View https://glama.ai/mcp/servers/n1f8jgwzfe for deploy options, or install from https://github.com/TalBenAmii/llm-d-bench-mcp (see README for MCP config).
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GitHub
Install from https://github.com/TalBenAmii/llm-d-bench-mcp and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Use Connect or Install above, then open your MCP client to see the live tool list.