green-mcp
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No user-submitted related servers found.
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- AlicenseNot gradedqualityAmaintenanceEnables token counting, usage tracking, and cost calculation for LLM APIs, with a proxy server mode to automatically intercept and monitor API requests from clients like Cursor and Windsurf.11 npm1MIT
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- FlicenseAqualityDmaintenanceEstimates the environmental footprint of your AI use — energy (kWh), miles driven, water used for cooling, and CO₂ — plus a prompt-efficiency score, working with any AI client by measuring token usage.9-
- AlicenseNot gradedqualityBmaintenanceEnables monitoring of running agent loops with token and monetary cost estimation, pruning of verbose thinking chains near limits, and routing sub-tasks between fast/cheap and deep reasoning models. It provides deterministic, MCP-compatible budget optimization for autonomous agents and copilot frameworks.7MIT
- FlicenseNot gradedqualityDmaintenanceLocal LLM cost & token forensics proxy with anomaly detection, enabling security teams to scan for cost anomalies and abuse patterns, and expose results via MCP for autonomous agents.-
- AlicenseNot gradedqualityNot gradedmaintenanceLocal-first LLM cost analysis: measures spend from usage records and estimates savings from switching models, with prices you supply.579 npmMIT
TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose: measuring vs comparing energy vs tokens, verifying equivalence, and checking backend availability. No two tools overlap in function.
Most tools follow a consistent verb_noun pattern (compare_energy, compare_tokens, measure_energy, measure_tokens, verify_equivalence). However, energy_backend_info breaks the pattern with a noun_noun structure, causing a minor inconsistency.
With 6 tools, the server is well-scoped. It covers all core operations (measure, compare, verify, and check backend) without being overly numerous or too sparse.
The tool set is complete for its domain: it provides the necessary steps to measure energy/tokens, compare two commands, verify equivalence, and check measurement availability. No obvious gaps.