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Health: Not checked yetWe have not completed a health check for this listing yet.Last checked 8/11/2026, 12:08:09 AM

Rugcheck Ai

Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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On-chain Solana token safety β€” screen for rugs/honeypots and execute MEV-protected swaps.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Install Config Generator

Choose your client
claude_desktop_config.json
{
  "mcpServers": {
    "rugcheck-ai": {
      "command": "npx",
      "args": [
        "-y",
        "rugcheck-ai"
      ]
    }
  }
}

πŸ’‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Install Directory Badge Claim listing AlternativesπŸ’° More in Finance & Fintech

Documentation Overview

πŸ›‘οΈ RugCheck AI β€” On-chain Token Safety for Solana AI Agents

version license MCP python transport CI

A lightweight MCP server that reads a Solana token's mint directly from the chain to screen for the common rug & honeypot traps before your agent trades β€” active mint/freeze authority and dangerous Token-2022 extensions (permanent delegate, transfer hooks, non-transferable, pausable) β€” then, for tokens that pass, builds the buy as an unsigned Jupiter transaction carrying a small Jito tip for faster inclusion. You sign it; the server never holds keys.

Quickstart (30 seconds)

No install, no API key. Point your agent at the remote endpoint:

Code
https://web-production-58d585.up.railway.app/mcp

Then ask one question before any buy:

Code
scan_token("DezXAZ8z7PnrnRJjz3wXBoRgixCa6xjnB7YaB1pPB263")   # BONK
β†’ { verdict: "SAFE", safety_score: 100, sellable: true, risks: ["no red flags found"] }

SAFE β†’ clear. CAUTION β†’ read the risks. DANGER β†’ don't buy. That's the whole loop.

See it catch a rug

Three real mainnet tokens, one scan_token call each (scanned 2026-06-17 β€” re-run to verify, live state changes):

TokenVerdictWhy
BONKSAFE Β· 100authority renounced, liquid, sellable β€” no red flags
USDCCAUTION Β· 70issuer keeps an active mint and freeze authority β€” your balance can be frozen
fresh pump token 24tF…i9pumpDANGER Β· 20no sell route (honeypot), 100% held by one wallet, $0 liquidity

The honeypot is the one that matters: you could buy it and never sell. RugCheck AI flags it before your agent spends a cent β€” even though the token is too new to be indexed anywhere else. Even USDC comes back CAUTION, not SAFE, because the issuer can still freeze your balance β€” the verdict tells you the truth, not a marketing label.

Tools

Screening

  • scan_token β€” full safety report in one call: authority, Token-2022 traps, honeypot, liquidity & holder concentration β†’ SAFE/CAUTION/DANGER + a 0–100 score
  • is_safe β€” quick yes/no gate: one boolean before you trade
  • verify_token_safety β€” on-chain audit: mint/freeze authority + Token-2022 traps + live market
  • check_authorities β€” mint / freeze authority and extension detection
  • simulate_sell β€” can the token actually be sold? (honeypot check)
  • simulate_trade β€” full round-trip (buy then sell back): real entry/exit cost & round-trip loss %
  • check_liquidity β€” DEX liquidity, 24h volume, age, buys/sells
  • holders_breakdown β€” top-holder concentration (dump risk)
  • token_age β€” freshness + real trading activity
  • rug_forecast β€” heuristic rug ETA: probability + urgency window + factors
  • scammer_dna β€” intent score (0–100): how much the token's structure looks like a deliberate scam
  • check_deployer β€” the wallets that hold power over the token
  • compare_tokens β€” rank a basket of tokens safest-first
  • batch_scan β€” scan up to 10 tokens at once, one report each

Execution

  • execute_safe_swap β€” re-screens the mint, then builds a Jito-tipped Jupiter swap (unsigned); refuses tokens that scan DANGER

Connect

Remote (Streamable HTTP) β€” no install, point your agent at:

Code
https://web-production-58d585.up.railway.app/mcp

Listed on the official MCP Registry as io.github.MrWizardlyLoaf/rugcheck-ai.

Self-host:

Terminal
pip install -r requirements.txt
SOLANA_RPC=<your-rpc-url> python server.py

Add it to your agent

Cline / Claude Dev (VS Code) β€” in cline_mcp_settings.json:

config.json
{ "mcpServers": { "rugcheck-ai": { "url": "https://web-production-58d585.up.railway.app/mcp" } } }

Claude Desktop β€” in claude_desktop_config.json:

config.json
{ "mcpServers": { "rugcheck-ai": { "command": "npx", "args": ["-y", "mcp-remote", "https://web-production-58d585.up.railway.app/mcp"] } } }

Cursor β€” Settings β†’ MCP β†’ Add β†’ Streamable HTTP, then paste the endpoint URL.

Any MCP client β€” it's a standard Streamable HTTP MCP server; point your client at the /mcp endpoint and the 15 tools appear.

Why

Most agents trade Solana tokens blind. RugCheck AI calls getAccountInfo on the mint and reads the authorities and Token-2022 extensions itself, so you get a real verdict on a fresh launch instead of unknown β€” and a live mint or freeze authority is flagged before you buy, not after.

Use it when

Your agent needs to answer, before it spends a cent:

  • Is this Solana token safe to buy β€” or is it a rug pull?
  • Is this a honeypot β€” will I actually be able to sell after I buy?
  • Does the mint have an active freeze / mint authority that can trap or dilute me?
  • Is there a hidden Token-2022 trap (permanent delegate, transfer hook) that can drain me?
  • Pre-trade screening / token due-diligence for an autonomous trading agent.

Built for AI trading agents, snipers and bots that buy SPL / Token-2022 tokens and need a fast on-chain rug check before entering β€” then a screened Jupiter route once a token clears.

FAQ

How do I check if a Solana token is safe to buy? Call scan_token(mint) β€” one call returns a SAFE / CAUTION / DANGER verdict covering mint/freeze authority, Token-2022 traps, honeypot (sellability), liquidity and holder concentration, plus a 0–100 safety score.

How do I detect a honeypot before buying? simulate_sell(mint) checks whether a live sell route exists β€” a token with no route is effectively a honeypot even when nothing on-chain formally blocks selling.

How do I check holder concentration / whale dump risk? holders_breakdown(mint) reports the largest wallets and what share of supply they control β€” high concentration means one holder can crash the price on you.

How do I know if a token is a rug pull? rug_forecast(mint) gives a heuristic rug probability and urgency window from real signals (authority, Token-2022 traps, concentration, sell pressure, age). check_authorities and check_deployer show exactly who holds power over the token.

Does it work on fresh / newly launched tokens? Yes β€” it reads the mint directly on-chain (getAccountInfo), so you get a real verdict on a token too new to be indexed elsewhere. token_age shows freshness and real trading activity.

Does it touch my wallet or sign anything? No. Screening is read-only; execute_safe_swap only builds an UNSIGNED transaction for you to sign β€” the server never holds keys, never signs, never sends.

Is it free? Do I need an API key? Remote server, no install, no API key. Point your agent at the endpoint and call the tools.

Status

v1.2.0 β€” working, actively developed, CI-tested. Open source, auditable β€” the screening tools are read-only (getAccountInfo); execute_safe_swap only builds an unsigned transaction for you to sign.


MIT licensed. Self-hostable. Built for Solana trading agents.

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Frequently Asked Questions about Rugcheck Ai

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "rugcheck-ai": { "command": "npx", "args": ["-y", "rugcheck-ai"] } }

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Technical Specs & Signals

CategoryπŸ’°Finance & Fintech
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
0/5 checks healthy over the last 6h
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
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Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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