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Agentrisk MCP Server

Developer ToolsUse Caution3.2MCP RegistryLocalRemote
Free

Server data from the Official MCP Registry

Pre-trade token risk scoring API for Base tokens, paid via x402.

About

Pre-trade token risk scoring API for Base tokens, paid via x402.

Remote endpoints: streamable-http: https://agentrisk.dev/mcp/manifest

Security Report

3.2
Use Caution3.2High Risk

AgentRisk M2M is a token risk analysis API with reasonable architecture but contains several security concerns. The service makes external API calls (GoPlus, DexScreener) without strict validation, relies on environment variable configuration for RPC endpoints without fallback validation, and has incomplete error handling in critical paths. The x402 payment integration adds complexity without visible credential validation. While the core analysis logic is sound and permissions align with the DeFi security purpose, these issues warrant attention before production deployment. Supply chain analysis found 7 known vulnerabilities in dependencies (0 critical, 1 high severity).

6 files analyzed ยท 21 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Documentation

View on GitHub

From the project's GitHub README.

AgentRisk M2M ๐Ÿ›ก๏ธ

Pre-Trade Security Layer for Autonomous DeFi Agents on Base. Stop letting your autonomous trading bots get rekt by stealth honeypots, malicious taxes, and rugpulls.


โšก The Problem

Autonomous trading bots are fast, but they are completely blind. Every minute, new unvetted tokens launch on Base. A significant share are deliberately engineered traps designed to block sells, drain executing wallets, or alter transfer taxes at the worst possible moment. Static blocklists (like standard free APIs) are useless against freshly deployed, obfuscated contracts. By the time human-curated lists update, your bot's capital is already gone.

๐ŸŽฏ The Solution

AgentRisk is an isolated, machine-readable security API built specifically for AI agents and automated scripts. Before your bot executes a swap() on Uniswap or Aerodrome, it pings AgentRisk. We run a deep runtime simulation combining direct on-chain checks, GoPlus Security, and DexScreener liquidity data, and return a strict verdict:

{
  "riskScore": 20,
  "riskLevel": "CAUTION",
  "shouldExecute": true,
  "reasons": [
    "Top 10 holders control 51.8% of supply."
  ]
}

โš™๏ธ How It Works (M2M Architecture)

  1. Agent Discovers Token via mempool or DEX router event.
  2. Agent Calls AgentRisk MCP Tool (check_token_risk) or the direct /scan endpoint.
  3. Instant x402 Micropayment ($0.15 USDC instantly settled on Base โ€” no API keys, subscriptions, or credit cards; pure machine-to-machine payment).
  4. Binary Decision: The agent receives shouldExecute: true/false with a risk score and structured reasons.

๐Ÿš€ Quick Integration

Option 1: MCP Server (For Claude, Cursor & Custom Agents)

MCP manifest is live at: https://agentrisk.dev/mcp/manifest

Tool endpoint: POST https://agentrisk.dev/mcp/tools/check_token_risk (x402-gated, 0.15 USDC per call). ### Option 2: Direct HTTP Call

GET https://agentrisk.dev/scan?token=<CONTRACT_ADDRESS>

Returns HTTP 402 with payment instructions until a valid x402 payment (0.15 USDC on Base) is attached.

๐Ÿ’ฐ Economy

  • Model: Pay-per-scan via the x402 protocol on Base Mainnet.
  • Cost: 0.15 USDC per comprehensive scan.
  • Facilitator: Self-hosted, verifies and settles payments directly on Base โ€” no third-party account required.

๐Ÿ”Ž Live Status

Built for autonomous systems that trust math, not hype.

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