rugguard-mcp
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@rugguard-mcp scan token 0x1a2b on base"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 asscan_tokenand overlays a prescriptiveblock | caution | allowdecision plus a clampedmax_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 therugguard-verifyCLI. Same $0.01 USDC price asscan_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.
Related MCP server: token-rugcheck
Install
pip install rugguard-mcpTry 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 --demoOr 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.
Telemetry (v0.2.5+): demo mode posts an anonymous counter to
/v1/demo/ping per tool invocation. Payload: {"tool": "scan_token", "session_id": "<random uuid per process>"}. No wallet, no scanned
address, no app-layer IP, no user identifier. Opt out with
RUGGUARD_MCP_DISABLE_TELEMETRY=1. The telemetry call is fire-and-forget
with a 2s timeout — a network failure never breaks the demo response.
Use this to:
Verify the tool drawer shows
scan_token,pretrade_check,explain_scanin 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 initThis 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 statusConfigure 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 |
|
Rolling 24 h | $10 |
|
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 |
|
| Override for staging / self-hosted |
| unset | Legacy fallback for users who don't want |
|
| Move the wallet file elsewhere |
|
| Where the 24 h spend ledger lives |
|
| Tighter cap for cautious operators |
|
| 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.
Methodology + empirical recall: https://rugguard.redfleet.fr/validation.html
x402scan: https://www.x402scan.com/server/88f6ecef-5668-4def-90a3-6984865f0e06
License
MIT — see LICENSE.
Available Tools
3 toolsexplain_scanA
Fetch the per-heuristic audit trail of a previous scan.
Costs $0.005 USDC. Use this when you need to know why a scan returned a specific verdict — e.g. for compliance, post-mortems, or building a user-visible explanation.
Args:
scan_id: UUID returned by a prior scan_token call.
Returns:
On success: {scan_id, scanned_at, score, verdict, heuristic_results: [...]}.
On failure: {error, message}. Same error codes as scan_token.
In demo mode: returns a canned audit trail keyed by the scan_id
suffix (`demo-safe-01`, `demo-caution-01`, `demo-critical-01`).
Unknown scan_ids return a demo-safe trail. Response has `_demo: true`.
Inputs: scan_id (required). Returns: object
pretrade_checkA
Pre-trade firewall: returns a prescriptive block | caution | allow
decision plus a clamped max_suggested_exposure_usd, given a token, a
trade size, and the agent's risk policy.
Costs $0.01 USDC on Base via x402 (same price as scan_token). Returns
a signed JSON report when the deployment has signing configured — the
signature and key_fingerprint fields prove what RugGuard said at the
moment of trade, verifiable offline via the rugguard-verify CLI
(pip install rugguard-verify) or against GET /v1/pubkey.
Args:
chain: base or solana.
address: Token contract address (EVM 0x… or Solana base58).
intended_trade_usd: Trade size in USD. Used to clamp the returned
max_suggested_exposure_usd. Must be > 0 and ≤ $1B.
policy: Agent risk tolerance. One of:
- conservative — block at medium_risk or worse (score ≥ 51)
- balanced — block at high_risk or worse (score ≥ 71) [default]
- aggressive — block at critical only (score ≥ 91)
An uncertain verdict (sparse data) returns caution in all
modes — absence of evidence is not evidence of safety.
Returns:
On success: {
scan_id, chain, contract,
policy_recommendation: block | caution | allow,
policy, risk_score: 0-100, verdict, confidence,
reason: [{code, severity}, ...], # top 3 flags
max_suggested_exposure_usd: float, # 100% if allow, 20% if caution, 0 if block
intended_trade_usd, scanned_at, disclaimer,
signature, key_fingerprint # null when signing is unconfigured
}
On failure: {error, message}. Same error codes as scan_token.
Disclaimer integrity: the disclaimer field is inside the signed bytes.
Stripping or rewriting it breaks signature verification by design — a
downstream proxy that drops the disclaimer will cause rugguard-verify
to reject the report. That is the point.
Inputs: chain (required), address (required), intended_trade_usd (required), policy. Returns: object
scan_tokenA
Run a pre-trade rug-pull risk scan on a token contract.
Returns a structured risk report. Pays $0.01 USDC on Base behind the
scenes via x402. The spend is tracked against per-session and 24 h
caps configured in the MCP server — if a cap is breached the call
returns a spend_cap_exceeded error WITHOUT signing.
Args:
chain: Chain identifier. base for Base mainnet EVM token
(14 heuristics). solana for Solana SPL mint (5 heuristics).
address: Token contract address — 0x... for EVM, base58 mint
address for Solana.
Returns:
On success: {score: 0-100, verdict: safe|low_risk|medium_risk|high_risk|critical|uncertain,
score_confidence: high|medium|low|insufficient_data,
rug_probability_30d: 0.0-1.0,
flags: [{code, severity, evidence}, ...],
scan_id: uuid for follow-up via explain_scan(...)}.
On failure: {error, message}. error is one of missing_credentials,
spend_cap_exceeded, payment_failed, request_failed,
non_200.
In demo mode (RUGGUARD_MCP_DEMO=1 or `--demo`): returns one of three
canned scenarios deterministically by `address[-1]`. Response has
`_demo: true` — never trade on this. No wallet, no network call.
Inputs: chain (required), address (required). Returns: object
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 3 tools
Each tool serves a clearly distinct purpose: scanning a token, explaining scan results, and providing a prescriptive trade decision. There is no overlap between their functionalities.
All tool names follow a consistent verb_noun pattern using snake_case: scan_token, explain_scan, pretrade_check. The naming is predictable and clear.
With 3 tools, the server is tightly scoped to its purpose of token risk scanning and compliance. Each tool earns its place without redundancy or deficiency.
The tool surface covers the core workflow (scan, explain, prescriptive decision). Minor gaps exist, such as no ability to update or rescan, but these are not critical for the primary use case.
Maintenance
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