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Gym MCP

Enables AI agents to discover and play games like Tic-Tac-Toe through a standardized interface, with plans to integrate more environments.

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0critical
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
0
0.0
Freshness
25%
0
0.0
Adoption
20%
0
0.0
Quality
10%
0
0.0
Trust
10%
0
0.0
Total
0.0
⚙ Install config
Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/IshanTiwari0112/gym-mcp
⛁ Raw data
weekly downloads0
github stars0
forks0
open issues0
license✗ missing
readme length0 chars
last updated10d ago
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Gym MCP — MCP Score: 0/100 | MCPScore | Timeahead