gametheory-mcp
PyPI
v0.1.2
Published by ryuxik — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
Equilibrium-aware primitives for AI agents — negotiation, auctions, mechanism design — over MCP.
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 1 = 99. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Each tool and what it can reach — statically extracted from the published source.
gt_auction_format_recommendationno sensitive capabilitygt_auction_optimal_bidno sensitive capabilitygt_auction_optimal_reserveno sensitive capabilitygt_auction_simulateno sensitive capabilitygt_mechanism_gale_shapleyno sensitive capabilitygt_mechanism_optimal_auction_designno sensitive capabilitygt_mechanism_posted_price_optimalno sensitive capabilitygt_negotiation_buy_next_offerno sensitive capabilitygt_negotiation_detect_anchor_attackno sensitive capabilitygt_negotiation_sell_next_offerno sensitive capabilityScan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.1.2 latest |
A 99/100 | 0 | 1.12.1 | 2026-07-27 |
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan gametheory-mcp --online --registry pypi
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