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cabal-hunter-mcp

On-chain Solana cabal & rug detection as an MCP server. One tool — check_cabal_risk — scans any Solana token mint before your agent buys and returns an Exit-Liquidity Risk verdict (SAFE | REVIEW | AVOID), a 0–100 cabal score, funding-cluster detection, same-block Jito-bundle detection, coordinated-dump detection, serial-launcher deployer history ("launched 14, 13 dead"), and a Solana-native honeypot check (freeze authority + Token-2022 traps). Every flag links to its on-chain evidence transaction.

npm MCP server Solana Free tier License: MIT

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Contract-clean is not cabal-clean. A basic scanner tells you the mint/freeze/LP are fine — it doesn't tell you that 15 wallets funded from one source are holding 30% of supply, waiting to dump on you.

Credit where it's due: RugCheck also does same-source wallet clustering (their "Insider Networks"), and it's a good tool — if it does what you need, genuinely, use it. What this gives you is one fused exit-liquidity verdict in a single call, at $9/month with no account.

Quick start

npx cabal-hunter-mcp

No install, no signup — 5 free scans/month, or 250/month with a free key (one email). That's the whole setup; the command below is what you drop into any MCP client.

Claude Desktop / Claude Code / Cursor / VS Code / ElizaOS

Cabal-Hunter — interactive 3D holder map: crystals sized by supply share, clusters joined by beams, with deployer history and an Exit-Liquidity Risk verdict

{
  "mcpServers": {
    "cabal-hunter": {
      "command": "npx",
      "args": ["-y", "cabal-hunter-mcp"]
    }
  }
}

Prefer a remote HTTP server (no local process)? Point straight at the hosted endpoint instead:

{ "mcpServers": { "cabal-hunter": { "url": "https://api.cabal-hunter.com/mcp" } } }

Related MCP server: token-rugcheck

The tool

check_cabal_risk({ mint }) — pass a Solana token mint (contract) address. Returns the full forensic JSON:

{
  "recommendation": "AVOID",        // SAFE | REVIEW | AVOID  ← the headline
  "risk": "HIGH",                   // exit-liquidity risk
  "cabal_score": 100,               // 0-100
  "honeypot_risk": "LOW",           // freeze authority + Token-2022 traps
  "mint_authority_revoked": true,
  "freeze_authority_revoked": true,
  "deployer": { "verdict": "SERIAL_LAUNCHER", "tokens_launched": 14, "dead": 13 },
  "coordinated_clusters": [
    { "wallets": 5, "combined_pct": 23.1, "evidence_tx": "https://solscan.io/tx/…" }
  ],
  "time_sync": true,                // same-block (Jito-bundled) buys
  "coordinated_exit": false,        // ≥2 holders dumped together
  "top_reasons": ["..."],
  "wallets_checked": 15,
  "scan_complete": true
}

scan_complete / wallets_checked are included on purpose so your agent can apply its own risk tolerance instead of inheriting ours — the score is a starting point you can verify (every cluster carries an evidence_tx), not a verdict you take on faith.

Gate a buy in your agent

"Before buying any token, call check_cabal_risk with the mint. If recommendation is AVOID or cabal_score >= 65 or honeypot_risk is HIGH, skip the trade and say why."

A note on the withdrawn trace_funding tool

An earlier version of this README documented a second tool, trace_funding, that traced a token's first buyers back to their funding source. It has been withdrawn. This section is the full record of why, including the parts that make us look bad, because a detector nobody can audit is worth nothing.

The first artifact (July 14). Its headline detections were not real. The "shared funder" it reported was frequently the token's own pump.fun bonding curve: every seller receives SOL back from the curve, so ordinary selling was being reported as a coordinated cluster. A user caught it by checking one of our findings against an independent tool. We were wrong and the other tool was right.

The second artifact (July 26) — the same bug wearing a different hat. Excluding the bonding curve fixed one address, not the class of mistake. Measuring 323 launches showed an apparent 15% detection rate that was also an artifact: 17 of the 22 flagged "funders" were the liquidity pool's wrapped-SOL vault, which likewise pays out to anyone who sells. Two fingerprints gave it away — 192 of 193 "clusters" had every member already exited, because the group was, by construction, a list of people who had sold. Checking the flagged address against the listed pair address returns a clean bill of health here, and that clean bill is wrong: the vault is a different address from the pair. The real fix is a class rule — only a System-owned account can be a person.

Then we found we had been measuring the wrong moment entirely. The trace took its launch timestamp from the token's listed pair, but for a graduated token the only listed pair is the post-graduation one. So every measurement we had ever taken — including the ones above — described buyers at graduation, not at launch. The actual claim, that a deployer pre-funds wallets which snipe the mint, had never been tested at all.

The real test. We rebuilt it against the bonding curve itself, which is where a launch actually happens, and fixed the coverage problem that had been skipping most tokens. Result on the correct window, with the artifact removed: zero coordinated clusters across 25 launches, 18 of which had enough buyers for a cluster to be possible.

What we found instead is more interesting. On one representative launch, 1,260 of the bonding curve's 1,266 transactions failed. The median launch has about five successful buyers. These launches are not quietly accumulating cabals — they are sniper races where hundreds of bots compete and a handful win. Because a launch has so few winners, tracing the top ten covers essentially all of them, which makes that zero a strong result rather than a thin sample.

We would rather withdraw a feature than ship a detector that has never demonstrably detected anything. It may return if a real signal can be shown; until then it is not advertised and not billed. The scanning that check_cabal_risk does — holder concentration, same-block bundles, coordinated dumps, deployer track record, honeypot and exit-liquidity checks — is a separate code path that was never affected by any of this, and it carries the System-owned rule described above.

Pricing

  • 5 scans/month free with no account, or 250/month with a free key (one email).

  • After that: $9/month for Unlimited (fair use), or pay-as-you-go at $0.001 per scan (priced at cost). Pay by card, in USDC on Solana, or via x402 — same price through every door. Card subscriptions renew automatically and can be cancelled anytime at cabal-hunter.com/billing.

  • Prepaid key: send USDC, POST /api/buy-key, then set CABAL_HUNTER_API_KEY (sent as the X-API-Key header). Full details: api.cabal-hunter.com/pricing.

Configuration

Env var

Default

Purpose

CABAL_HUNTER_API_KEY

(none)

Prepaid key for unlimited / metered use (X-API-Key).

CABAL_HUNTER_API

https://api.cabal-hunter.com

Override the API base URL.

Other ways to use Cabal-Hunter

What it detects (why "contract-clean" misses it)

A cabal is 15 fresh wallets — all funded from the same master wallet, all buying in the first seconds of launch — quietly accumulating 25–40% of supply before your bot sees the first candle. Contract clean. LP burned. Everything green. Then they dump, simultaneously, into your liquidity. Cabal-Hunter traces the funding graph on-chain and answers the only question that matters before you sign a swap: are you the exit liquidity?


MIT licensed. Powered by Cabal-Hunter. This package is a thin MCP wrapper over the hosted API — the detection runs server-side against live Solana on-chain data (Helius RPC).

Available Tools

1 tool
check_cabal_riskA

Real-time on-chain coordinated-wallet (cabal) and rug detection for any Solana token mint. One call returns an Exit-Liquidity Risk verdict (SAFE | REVIEW | AVOID), a 0-100 cabal score, funding-cluster detection (top holders funded by the same source), same-block Jito-bundle detection, coordinated-dump detection, serial-rug deployer history (e.g. 'launched 14, 13 dead'), a honeypot check (freeze authority + Token-2022 traps), and on-chain evidence transactions for every flag. Use it before an agent buys a pump.fun / PumpSwap / Raydium token to answer: are you the exit liquidity? Free: 250 scans/month, no API key required.

ParametersJSON Schema
NameRequiredDescriptionDefault
mintYesThe Solana token mint (contract) address to scan, e.g. DezXAZ8z7PnrnRJjz3wXBoRgixCa6xjnB7YaB1pPB263

TDQS

A4.4/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses all major behavioral traits: what it detects (cabal score, funding clusters, Jito-bundle, coordinated-dump, serial rug history, honeypot), the evidence returned, and rate limits (250 scans/month, no API key). No annotations exist, so the description fully carries the burden.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is relatively long but well-structured: it opens with the core purpose, enumerates all detection components, and concludes with usage guidance. Every sentence adds value, though some redundancy exists (e.g., 'rug detection' and 'serial-rug deployer').

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of the tool (multiple detection types, no output schema), the description is extremely complete. It covers all detection mechanisms, the output verdict, evidence details, and practical usage context, ensuring an agent can select and invoke the tool appropriately.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is only one parameter ('mint') with full schema coverage (100%). The description adds an example address but no further semantic value beyond what the schema provides. This meets the baseline of 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: real-time on-chain coordinated-wallet and rug detection for Solana token mints. It specifies the exact output (Exit-Liquidity Risk verdict, cabal score, detection details) and the target use case (pump.fun, PumpSwap, Raydium tokens).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly tells when to use the tool: 'before an agent buys a ... token to answer: are you the exit liquidity?' It also mentions the free tier (250 scans/month) but does not discuss when not to use or alternatives (though no siblings exist).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool updatev0.1.0
    • First observedcheck_cabal_risk

TDQS

A4.4/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion between tools. The single tool's purpose is clearly defined.

Naming Consistency5/5

A single tool named 'check_cabal_risk' uses a clear verb_noun pattern. There are no other tools to introduce inconsistency.

Tool Count3/5

The server has only one tool, which feels minimal for a general risk-checking service. While the tool itself is comprehensive, a broader set could include additional analytical or comparison tools.

Completeness5/5

The single tool covers all stated detection needs—exit liquidity, cabal scoring, funding clusters, bundle detection, dump detection, deployer history, and honeypot checks—in one call. It fully addresses its domain.

Maintenance

ActivityMaintained
ResponsivenessNo issues

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