rugguard-mcp
MCP server for RugGuard, enabling AI agents to perform pre-trade rug checks on tokens, with paid tools for token scanning and pre-trade verification, and a free metrics resource.
README
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.
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_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 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.
<!-- mcp-name: io.github.dbe006/rugguard-mcp -->
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。