The most reliable MCP ml server right now is mcp-registry/io.github.lazymac2x/ai-prompt-optimizer/analyze_prompt — a Glimind reliability score of 90/100 (grade A). The current top picks are mcp-registry/io.github.lazymac2x/ai-prompt-optimizer/analyze_prompt, mcp-registry/io.github.lazymac2x/code-explainer/detect_language, mcp-registry/io.github.lazymac2x/ai-token-counter/count_tokens. Rankings are neutral and update continuously from live liveness probing plus corroborated real-usage outcomes; Glimind sells no tools, so they are unconflicted.
Ranked by the neutral Glimind reliability score (live liveness probing + corroborated real-usage outcomes). Glimind sells no tools, so the ranking is unconflicted. All categories → · Browse every ml tool →
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mcp-registry/io.github.lazymac2x/ai-prompt-optimizer/analyze_prompt is currently the most reliable MCP ml server on Glimind, with a reliability score of 90/100 (grade A). Glimind rates neutrally from live probes plus real-usage outcomes and sells no tools.
Ranked by live Glimind reliability score: mcp-registry/io.github.lazymac2x/ai-prompt-optimizer/analyze_prompt (90/100), mcp-registry/io.github.lazymac2x/code-explainer/detect_language (90/100), mcp-registry/io.github.lazymac2x/ai-token-counter/count_tokens (90/100), mcp-registry/io.github.lazymac2x/ai-token-counter/get_model_pricing (90/100), mcp-registry/io.github.lazymac2x/ai-budget-planner/weekly_report (90/100). Each links to its live status and a working alternative if it goes down.
By a neutral 0–100 reliability score from safe liveness probing plus corroborated, privacy-clean real-usage outcomes — the same score shown on each tool's page. Glimind sells no tools and runs no integrations, so the ranking is unconflicted. Updated just now.