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Glama

Server Details

Solana pre-trade safety for AI agents: cabal, bundle, dump, deployer & honeypot in one verdict.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
paulf280-ui/solana-safe-sniper-mcp-template
GitHub Stars
1
Server Listing
Cabal-Hunter

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MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

Enable or disable individual tools per connector, so you decide what your agents can and cannot do.

Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

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Tool DescriptionsA

Average 4.4/5 across 1 of 1 tools scored.

Server CoherenceA
Disambiguation5/5

With only one tool, there is no possibility of confusion. The tool's purpose is clearly defined and distinct.

Naming Consistency5/5

The single tool name 'check_cabal_risk' follows a clear verb_noun convention, which is inherently consistent.

Tool Count4/5

While only one tool exists, it serves a specific, comprehensive function. The server is appropriately scoped for its intended use, though it is on the thin side.

Completeness5/5

The tool provides a multifaceted risk assessment covering holder concentration, bundling, coordinated dumps, honeypots, dev track record, and funding clusters, thoroughly covering the pre-trade safety check domain.

Available Tools

1 tool
check_cabal_riskAInspect

Pre-trade safety check for any Solana token mint: is a buyer about to be someone's exit liquidity? Every flag links to its on-chain evidence tx.

Layers, ordered by STRENGTH OF EVIDENCE (not marketing):

  1. HOLDER CONCENTRATION — what share one wallet actually controls (top_holder_pct). A single wallet that can crater the price is the most basic rug vector, and it needs no coordination at all. IMPORTANT: we count only REAL wallets. LP pools, locked/vesting supply and other program-owned accounts are excluded and labelled, never scored as a whale — and supply comes from getTokenSupply, not an estimate. Tools that skip this report a locked-supply token as '65% one wallet'. Our numbers reconcile with GMGN's circulating top-10.

  2. SAME-BLOCK BUNDLES — holders whose token accounts were created in the EXACT same block: a Jito-bundled multi-wallet launch. time_sync: true.

  3. COORDINATED DUMP — ≥2 holders each selling ≥25% of their bag in the same block: a cabal exiting in real time. coordinated_exit: true, sold_pct.

  4. HONEYPOT / AUTHORITY TRAPS (Solana-native) — live freeze authority, un-revoked mint authority, Token-2022 transfer-fee / transfer-hook / permanent-delegate traps. Answers: CAN you actually sell this token?

  5. DEV TRACK RECORD — the creator resolved on-chain plus their full launch history WITH the peak market cap each past token hit, so a dead-count can't hide a pump-and-dump. reputation (SERIAL_RUGGER / DEAD_ON_ARRIVAL / MIXED / PROVEN) + best_peak_usd, pump_and_dumps count; paid tier adds launches[] (peak_mcap_usd, now_mcap_usd, drawdown, status per launch). 'Ran to $728k, now dust' = this dev has dumped six figures on holders before. Still CAPPED: peak history is evidence, never softens the score.

  6. FUNDING-CLUSTER TRACE — top holders walked back to a shared funding wallet. A real capability, listed last on purpose: on our own sample it produced no verified detections once infrastructure (curve PDAs, token accounts) was correctly excluded. Treat it as supporting evidence.

Returns risk (CLEAN|MEDIUM|HIGH), cabal_score 0–100, top_holder_pct, cluster breakdown with evidence_txs[], holder map, deployer verdict, honeypot_risk, plus wallets_checked / scan_complete / degraded so YOUR agent can apply its own risk tolerance instead of inheriting ours. If we cannot verify something, we say so (degraded: true) rather than returning a confident 'clean'.

COST: first 250 scans/month FREE — no signup, no API key. After that $0.001 USDC per scan. Every scan is a live on-chain trace, not cached data. Two ways to pay, no signup or card: (1) $9/month UNLIMITED (fair use, 50k/mo) — best for 24/7 bots; or prepaid pay-as-you-go at $0.001/scan (any amount) — POST the tx to /api/buy-key, then send header X-API-Key; or (2) per-call via x402 (X-Payment-Signature header). Full terms: GET /api/info.

Typical response time: <100ms for pre-indexed tokens (most graduated pump.fun mints are already cached). A token we have never seen runs the full live on-chain trace and takes 15-20s — set your client timeout to at least 30s or you will abandon a scan that was about to succeed.

ParametersJSON Schema
NameRequiredDescriptionDefault
mintAddressYesThe Solana mint address of the token to audit (base58, 32–44 chars)
pairCreatedAtNoOptional: DexScreener pairCreatedAt timestamp in milliseconds. Speeds up analysis when provided.
Behavior5/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure and does so exceptionally. It explains that scans are live on-chain traces rather than cached data, count only real wallets (excluded LP/locked supply), source supply from getTokenSupply, and report degraded data instead of returning falsely confident results. It also discloses response time variations, cost models, and payment options, giving a comprehensive picture of tool behavior.

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 lengthy but well-structured with numbered layers and clear formatting, making it easy to scan. It front-loads the core purpose and then systematically explains each risk layer, return values, cost, and performance. A small portion covering pricing and payment methods is tangential to tool invocation, but the overall structure earns its length.

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 a multi-factor security audit tool with no output schema or annotations, the description provides an unusually complete picture. It details each checkpoint (holder concentration, bundles, coordinated dumps, honeypots, dev track record, funding clusters), return fields (risk, cabal_score, top_holder_pct, evidence_txs, degraded, etc.), and operational notes like timeout recommendations. This equips an agent to use the tool correctly and interpret results.

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?

The input schema already describes both parameters with 100% coverage: mintAddress clearly defined as the token's mint address with length constraints, and pairCreatedAt specified as an optional DexScreener timestamp that speeds up analysis. The description adds no additional parameter semantics beyond what the schema provides, which aligns with the baseline score for high schema coverage.

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 opens with a clear, specific statement of purpose: 'Pre-trade safety check for any Solana token mint: is a buyer about to be someone's exit liquidity?' It names the resource (Solana token mint), the action (pre-trade safety check), and the evaluative outcome. The detailed layer breakdown further distinguishes the tool's unique multi-factor risk assessment approach.

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 clearly indicates when to use this tool: before a trade to assess whether a buyer is about to be exit liquidity. It provides a concrete use case and mentions the tool returns a risk score so the agent can apply its own risk tolerance. It does not explicitly list exclusions or alternatives, but with no sibling tools available, the context is sufficient.

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

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