rugguard-mcp 0.2.4

MCP server for RugGuard — pre-trade rug-check API for AI agents. Wraps the x402 payment flow so Claude Desktop, Cursor, and other MCP-aware agents can call RugGuard without speaking x402 themselves.

rugguard-mcp

MCP server for RugGuard — pre-trade rug-check API for AI agents. Wraps the x402 payment flow so Claude Desktop, Cursor, and other MCP-aware agents can call RugGuard without speaking x402 themselves.

What it does

Three paid MCP tools:

• scan_token(chain, address) — runs 14 heuristics on Base + 5 on Solana SPL, returns a weighted risk score 0–100, a verdict (safe | low_risk | medium_risk | high_risk | critical | uncertain), and structured red flags (owner renounced, LP locked, honeypot signatures, top10 concentration, mint authority, bytecode similarity to known rugs via MinHash, deployer rug history, etc.). Pays $0.01 USDC on Base behind the scenes.
• pretrade_check(chain, address, intended_trade_usd, policy) (new in v0.2.0) — the pre-trade firewall. Wraps the same engine as scan_token and overlays a prescriptive block | caution | allow decision plus a clamped max_suggested_exposure_usd, given the agent's risk policy (conservative | balanced | aggressive). Returns a signed JSON report (Ed25519) when the deployment has signing configured — verifiable offline via the rugguard-verify CLI. Same $0.01 USDC price as scan_token.
• explain_scan(scan_id) — replays a previously-cached scan's full per-heuristic audit trail. Pays $0.005 USDC.

One free MCP resource:

• rugguard://metrics — live empirical recall + per-chain sample counts, sourced from /v1/metrics. Free, no payment, no signature. Lets an agent (or a human reviewing the integration) audit per-heuristic recall before pointing a funded wallet at the paid tools. No competitor publishes their own miss rate — this is the differentiator made machine-discoverable.

The server holds a dedicated Base-mainnet wallet and signs each EIP-3009 USDC transferWithAuthorization transparently. The agent never sees the payment friction.

Install

pip install rugguard-mcp

Try it without paying (recommended first step)

Before funding a wallet, verify the MCP integration works end-to-end in Claude Desktop / Cursor / your runtime. Launch the server in demo mode:

python -m rugguard_mcp --demo

Or configure your MCP client to launch it that way directly:

{
  "mcpServers": {
    "rugguard": {
      "command": "python",
      "args": ["-m", "rugguard_mcp", "--demo"]
    }
  }
}

(equivalent: set RUGGUARD_MCP_DEMO=1 in the env block of the MCP client config).

In demo mode the three paid tools return canned scenarios deterministically (safe / caution / critical, picked by the last hex char of the address) flagged with "_demo": true so the agent never mistakes them for real data. No wallet, no payment, no network call to /v1/scan or /v1/pretrade/check. The free rugguard://metrics resource still serves the real live recall numbers.

Use this to:

• Verify the tool drawer shows scan_token, pretrade_check, explain_scan in Claude Desktop / Cursor.
• Walk through a full scan → decision flow in your agent before committing on-chain funds.
• Build and test conditional edges / state branches against realistic response shapes.

When you're ready for real scans, drop the --demo flag and follow the First-time setup below.

First-time setup

Generate a dedicated wallet (never reuse your main one):

python -m rugguard_mcp init

This creates ~/.rugguard/wallet.json (mode 600 on POSIX) and prints the address to fund. Send 5–20 USDC on Base mainnet to that address — both Coinbase and Binance support "Network: Base" withdrawals.

Check status:

python -m rugguard_mcp status

Configure your MCP client

Claude Desktop

Edit claude_desktop_config.json (%APPDATA%\Claude\claude_desktop_config.json on Windows, ~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "rugguard": {
      "command": "python",
      "args": ["-m", "rugguard_mcp"]
    }
  }
}

Restart Claude Desktop. The scan_token, pretrade_check, and explain_scan tools appear in the tool drawer.

Cursor / other MCP clients

Same mcpServers shape, point to python -m rugguard_mcp or the rugguard-mcp console script.

Safety

Spending caps (defense in depth against a runaway agent or a compromised remote server):

Cap	Default	Override
Per-session (resets on restart)	$5	RUGGUARD_MCP_SESSION_SPEND_CAP_USD
Rolling 24 h	$10	RUGGUARD_MCP_DAILY_SPEND_CAP_USD

The caps are enforced client-side, before the EIP-3009 signature — even a compromised 402 response can't trick the wallet into overspending.

Asset whitelist: the client refuses to sign for anything other than canonical USDC on Base (0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913) or Base Sepolia. A malicious 402 trying to redirect to a different EIP-3009-compatible token in your wallet is rejected before signing.

Replay window: EIP-3009 authorizations are bound to a 10-second validBefore window — short enough that a captured payment header can't be replayed against the USDC contract after the legitimate settlement.

Wallet at rest: ~/.rugguard/wallet.json is mode 600 on POSIX (best-effort on Windows — set ACLs manually for production-grade isolation). Treat the file like an SSH key: don't commit it, don't share it.

Configuration

Env var	Default	Purpose
RUGGUARD_API_URL	https://rugguard.redfleet.fr	Override for staging / self-hosted
RUGGUARD_X402_PRIVATE_KEY	unset	Legacy fallback for users who don't want init
RUGGUARD_MCP_WALLET_PATH	~/.rugguard/wallet.json	Move the wallet file elsewhere
RUGGUARD_MCP_SPEND_LOG_PATH	~/.rugguard/spend_log.json	Where the 24 h spend ledger lives
RUGGUARD_MCP_SESSION_SPEND_CAP_USD	5.0	Tighter cap for cautious operators
RUGGUARD_MCP_DAILY_SPEND_CAP_USD	10.0	Tighter cap for cautious operators

Source

This package is the public, slim distribution of the MCP server. The underlying RugGuard API + heuristic engine remain in a private repo. Code in this repo is MIT-licensed and auditable end-to-end — review it before pointing your funded wallet at it.

• API: https://rugguard.redfleet.fr
• OpenAPI: https://rugguard.redfleet.fr/openapi.json
• Methodology + empirical recall: https://rugguard.redfleet.fr/validation.html
• x402scan: https://www.x402scan.com/server/88f6ecef-5668-4def-90a3-6984865f0e06

License

MIT — see LICENSE.