mcpcost

io.github.farssaadeldin7-ux/predictive-resource-allocation

predictive-resource-allocation

Is the io.github.farssaadeldin7-ux/predictive-resource-allocation MCP server down? No. It answered initialize and tools/list in the probe of 2026-10-31.

Predict where a render, simulation or training job will bottleneck, and what to change first.

alive probed 2026-11-14 · unchanged since 2026-10-31

15tools
6.3ktokens in Claude Opus 5.5
3.1 %of Claude's 200k window
2.5×the median server
145 msto initialize
4 msto list tools
Bundle
https://github.com/farssaadeldin7-ux/claude-plugin-suite/releases/download/mcpb-v0.1.3/predictive-resource-allocation.mcpb (MCPB, for a client that installs bundles; probed in a container with the network off)
Host
github.com
Reports itself as
predictive-resource-allocation 0.1.0
Capabilities
prompts, tools
Instructions
906 characters
Of a 1M window
0.6 % of a 1M context window
Count
6.3k tokens in Claude Opus 5.5, exact, measured 2026-10-31. With the Claude Code prefix mcp__…__ on each tool name: 6.5k. The o200k_base estimate is 3.6k. Counted again when the tool definitions change. Method.
Repository
https://github.com/farssaadeldin7-ux/claude-plugin-suite
Registry
active, updated 2026-10-20 · registry entry

Most expensive tools

The Claude column scales the o200k estimate of each tool by this server's ratio of exact to estimate, 1.74×.

Tool≈ Claude tokenso200k estimateShare of this server
headroom_check1 67796127 %
vram_estimate85348914 %
classify_bottleneck68739411 %
training_memory_estimate64937210 %
estimate_log5713279 %

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