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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

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

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

Only one tool exists, so there is no possibility of confusion between multiple tools. An agent can uniquely identify its purpose.

Naming Consistency5/5

A single tool named 'check_cabal_risk' follows a clear verb_noun pattern. No inconsistency can arise.

Tool Count3/5

Having only one tool for a complex domain like Solana token risk analysis feels thin, even though the tool is comprehensive. The server would benefit from splitting into separate concerns (e.g., fetch risk, get holder info).

Completeness4/5

The single tool covers all advertised risk layers (holder concentration, bundles, dumps, honeypots, deployer history, funding clusters) thoroughly. Minor gap: agents cannot request individual aspects without the full report, but the data returned is detailed.

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. DEPLOYER TRACK RECORD — the creator resolved on-chain plus their full launch history (FIRST_LAUNCH / NORMAL / POOR_TRACK_RECORD / SERIAL_LAUNCHER). Context, deliberately CAPPED: most prolific pump.fun creators have high dead-token rates, so a dead history alone flags 'review' and can never by itself produce a HIGH verdict. Death != rug.

  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, priced at cost (covers the Helius RPC behind each trace). 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, 1-5s for real-time analysis.

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?

With no annotations, the description fully bears the transparency burden. It discloses return values, degradation behavior, response times, cost structure, and payment methods, providing comprehensive insight into 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 well-structured with numbered layers and headings, but is verbose. Each section adds value, though some details (e.g., payment methods) could be shortened without losing clarity.

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?

No output schema exists, yet the description thoroughly explains return fields (risk, cabal_score, holder map, etc.), degradation, and cost, making the tool's output fully predictable for an agent.

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?

Input schema has 100% description coverage for both parameters, so the schema already provides meaning. The description does not add further parameter semantics beyond what the schema states.

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: a pre-trade safety check for Solana tokens, assessing if a buyer might become exit liquidity. It details the specific layers of risk analysis, making the function unmistakable.

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 explains when to use the tool (before trading a Solana token) and provides context on the strength of evidence in its layers, but does not mention alternatives or exclusions since no sibling tools exist.

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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