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mcp-server

Enforce on-chain risk limits and analyze trading behavior for Solana AI agents.

3|Updated Feb 13, 2026
Search Tags:#mcp#risk management#coaching#enforcement#solana#ai trading#agent wallet
One-click install
npx skills add https://github.com/mmmmuhib/beneat-mcp --skill mcp-server-mmmmuhib
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-server
Source: https://github.com/mmmmuhib/beneat-mcp/tree/main/mcp-server
Command: npx skills add https://github.com/mmmmuhib/beneat-mcp --skill mcp-server-mmmmuhib

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @modelcontextprotocol/sdk, @solana/kit, @solana/web3.js, zod, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides on-chain risk enforcement and behavioral analytics for AI trading agents, preventing capital loss from hallucinations and tilt.

Core Features & Use Cases

  • Risk Enforcement: Enforces daily loss limits, trade frequency caps, and cooldown periods via on-chain rules and AgentWallet policy freezes.
  • Agent Coaching: Provides session-aware position sizing, confidence calibration, and market recommendations to improve agent performance.
  • Use Case: An AI trading agent can integrate Beneat to automatically calibrate its risk parameters based on its trading history, receive real-time coaching on position sizing, and have its wallet frozen if it breaches its daily loss limit, preventing catastrophic failure.

Quick Start

Use the mcp-server skill to check the trade status for your wallet address.

Frequently Asked Questions about mcp-server

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prevent my AI trading agent from losing capital on Solana?▼

You can prevent capital loss by applying on-chain risk enforcement to your AI trading agent, which enforces daily loss limits, trade frequency caps, and cooldown periods via AgentWallet policy freezes.

What is on-chain risk enforcement for AI trading agents?▼

On-chain risk enforcement is a mechanism that manages risk parameters through calibration and enforces limits via tool calls, automatically freezing an agent's wallet if it breaches daily loss limits to prevent catastrophic failure.

How does behavioral analytics improve AI trading agent performance?▼

Behavioral analytics improve AI trading agent performance by providing session-aware position sizing, confidence calibration, and market recommendations to prevent capital loss from hallucinations and tilt.

Can I use Helius transaction history to calibrate Solana agent risk parameters?▼

Yes, you can use Helius for transaction history analysis to automatically calibrate risk parameters for your Solana AI trading agent based on its trading history.

Do I need AgentWallet to enforce cooldown periods for my trading agent?▼

Yes, you need AgentWallet to enforce cooldown periods, as the risk enforcement mechanism applies on-chain rules and policy freezes through the AgentWallet integration.

How do I check the trade status for my AI agent's wallet address?▼

To check the trade status for your AI agent's wallet address, use the mcp-server skill to query the current trading status and risk parameters directly.

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