mmmmuhib/beneat-mcp
On-chain risk enforcement and behavioral analytics for autonomous AI trading agents on Solana. 19-tool MCP server with semantic routing, DR-CAM causal inference, and 3-layer evaluation suite.
This project helps AI trading agents avoid costly mistakes by enforcing pre-set risk rules and providing behavioral analytics. It takes in trading agent commands and Solana wallet activity, and outputs approvals, denials, or coaching directives, potentially even freezing an agent's trading wallet. Algorithmic traders and fund managers employing autonomous AI agents on Solana would use this to manage risk.
Use this if you are an algorithmic trader managing AI agents on Solana and need a robust system to prevent them from exceeding risk limits or exhibiting undesirable trading behaviors.
Not ideal if you are a manual trader or your trading agents operate on chains other than Solana, as the core enforcement features are built for Solana and Drift Protocol.
Stars
3
Forks
—
Language
TypeScript
License
MIT
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
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