Skip to main content
Glama
traql

traql MCP server

Official

traql MCP server

npm CI License: MIT

AML- und Compliance-Risikobewertung für Krypto-Adressen und Transaktionen, die KI-Agenten über das Model Context Protocol bereitgestellt wird.

Frag deinen Agenten „Ist es sicher, an diese Adresse zu senden?" – und du erhältst eine Risikobewertung von 0–100, eine Risikostufe, die zugrunde liegenden Risikokategorien und – mit einem API-Schlüssel – jedes einzelne Signal mit Quelle und Konfidenz.

ethereum address 0x8589427373d6d84e98730d7795d8f6f8731fda16
RISK 100/100 — CRITICAL
Flags: sanctions, mixer, scam

Signals (21):
  +80  [sanctions/eth_labels] direct.sanctions — sanctions label "Tornado.Cash: Donate" [entity Tornado.Cash: Donate, confidence 0.80]
  +68  [mixer/eth_labels] direct.mixer — mixer label "Tornado.Cash: Donate" [entity Tornado.Cash: Donate, confidence 0.80]
  +10  [mixer] behavior.mixer_contact — direct contact with mixer 0xdd4c48c0b24039969fc16d1cdf626eab821d3384
  +9   [sanctions/ofac_sdn] indirect.sanctions — sent to Semenov Roman (sanctions, 18% of USDC volume) [entity Semenov Roman, confidence 1.00]
  ... and 17 more

Computed at 2026-08-23T11:42:49Z.

Basierend auf traql: OFAC-SDN-, UK-OFSI-, EU- und UN-Sanktionslisten, Tether/Circle-Freeze-Ereignisse, kuratierte Attributionen von Hacks und Mixern und eine Kontrahenten-Exposure-Analyse über Ethereum, BSC, TRON, TON und Bitcoin.

Schnellstart

Erfordert Node.js 18+.

npx -y @traql/mcp

Der Server spricht MCP über stdio, du richtest also normalerweise einen Client auf ihn aus, statt ihn manuell auszuführen.

Claude Code

claude mcp add traql --env TRAQL_API_KEY=your_key -- npx -y @traql/mcp

Claude Desktop

Füge Folgendes in claude_desktop_config.json ein:

{
  "mcpServers": {
    "traql": {
      "command": "npx",
      "args": ["-y", "@traql/mcp"],
      "env": { "TRAQL_API_KEY": "your_key" }
    }
  }
}

Cursor

Füge Folgendes in ~/.cursor/mcp.json ein (oder in .cursor/mcp.json in einem Projekt), mit demselben mcpServers-Block wie oben.

VS Code

Füge Folgendes in .vscode/mcp.json ein:

{
  "servers": {
    "traql": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@traql/mcp"],
      "env": { "TRAQL_API_KEY": "your_key" }
    }
  }
}

Related MCP server: zarq-risk-intelligence

Einen API-Schlüssel erhalten

Registriere dich bei app.traql.io, bestätige deine E-Mail – kostenlose Checks sind enthalten – und erstelle einen Schlüssel unter API keys. Das Secret wird nur einmal angezeigt und kann jederzeit rotiert oder widerrufen werden.

Ohne Schlüssel läuft der Server weiterhin, aber auf der schlüssellosen Stufe: eine einzige grobe Begründung statt einzeln aufgeführter Signale, enge Rate-Limits und bei der gehosteten API eine x402-Zahlungspflicht pro Aufruf. Für die Agenten-Nutzung setze einen Schlüssel.

Konfiguration

Variable

Typ

Erforderlich

TRAQL_API_KEY

empfohlen

–

API-Schlüssel aus dem traql-Dashboard. Wird als X-API-Key gesendet. Schaltet im Detail aufgeführte Signale und höhere Limits frei.

TRAQL_API_URL

nein

https://api.traql.io

Basis-URL der API. Zeig sie auf deine eigene Installation, falls du traql selbst hostest.

TRAQL_TIMEOUT_MS

nein

30000

Timeout pro Anfrage in Millisekunden.

Tools

check_address

Bewertet eine einzelne Adresse.

Argument

Typ

Erforderlich

Beschreibung

chain

ethereum | bsc | tron | ton | bitcoin

ja

Netzwerk, zu dem die Adresse gehört.

address

string

ja

Adresse im nativen Format der Chain.

screen_transaction

Bewertet beide Seiten einer Überweisung, in einem der beiden Modi:

  • Pre-flight – Echt alles from und to angeben (optional amount und asset), um eine Überweisung vor dem Absenden zu prüfen. Funktioniert auf jeder unterstützten Chain.

  • By hash – nur tx_hash angeben, um eine bereits on-chain vorhandene Überweisung nachzuschlagen. Unterstützt auf Ethereum, BSC, TRON und TON.

Argument

Typ

Erforderlich

Beschreibung

chain

Chain-Enum

ja

Netzwerk, zu dem die Transaktion gehört.

from

string

pre-flight

Adresse des Absenders.

to

string

pre-flight

Adresse des Empfängers.

amount

string

nein

Ganzzahlbetrag in den Basiseinheiten des Assets (z. B. 1000000 für 1 USDT).

asset

string

nein

Asset- oder Token-Symbol, z. B. USDT.

tx_hash

string

by-hash

Hash einer bereits gesendeten Transaktion. Schließt sich mit from/to aus.

Antwort

Beide Tools geben einen für Menschen lesbaren Text plus structuredContent zurück:

{
  "subject": { "type": "address", "chain": "ethereum", "address": "0x…" },
  "result": {
    "score": 100,
    "band": "critical",
    "flags": ["sanctions", "mixer", "scam"],
    "partial": false,
    "computed_at": "2026-08-23T11:42:49Z",
    "reasons": [
      {
        "code": "direct.sanctions",
        "message": "sanctions label \"Tornado.Cash: Donate\" from eth_labels (severity 100 × confidence 0.80 = 80.0)",
        "contribution": 80,
        "category": "sanctions",
        "source": "eth_labels",
        "entity": "Tornado.Cash: Donate",
        "severity": 100,
        "confidence": 0.8,
        "eff": 80.0
      }
    ]
  }
}

Score-Stufen: clean 0–9, low 10–39, elevated 40–69, high 70–89, critical 90–100.

partial: true bedeutet, dass eine vorgelagerte Datenquelle während der Berechnung eingeschränkt war – lies den Score als untere Grenze, nicht als endgültiges Urteil.

Jeder erfolgreiche Aufruf verbraucht einen Check aus dem konfigurierten Konto. Fehlerhafte Eingaben werden, soweit möglich, lokal abgelehnt und kosten daher nichts.

Entwicklung

npm install
npm run build
npm test

Anmerkungen

Die Scores sind Hinweissignale für Triage und Automatisierung. Sie sind keine rechtliche Feststellung von Fehlverhalten und erfüllen für sich allein keine regulatorische Verpflichtung.

Lizenz

MIT

Available Tools

2 tools
check_addressCheck address riskA
Read-only

Score a single crypto address for AML and compliance risk.

Returns a risk score from 0 (clean) to 100 (critical), the band it falls into, and the risk categories that drove it — sanctions, mixer, scam, darknet, stolen_funds, ransomware, high_risk_exchange and others. With an API key configured, the response also itemizes every contributing signal with its data source, severity and confidence, so the verdict can be explained rather than just asserted.

Use it before sending funds to an unfamiliar address, to triage an address a user pasted, to check a counterparty in an investigation, or to vet a deposit address. Covers Ethereum, BSC, TRON, TON and Bitcoin. Each call consumes one check from the configured traql account.

ParametersJSON Schema
NameRequiredDescriptionDefault
chainYesBlockchain network the subject belongs to.
addressYesAddress in the chain's native format: 0x-hex for ethereum and bsc, base58 starting with T for tron, EQ/UQ for ton, and legacy or bech32 for bitcoin.

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes
subjectYesEcho of the canonical subject that was scored.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint and non-destructive, and the description adds meaningful behavioral detail beyond that: the exact return semantics (risk score 0-100, bands, categories), conditional verbosity with an API key, and the resource cost ('Each call consumes one check'). It doesn't contradict annotations, and the additional consumption caveat is valuable.

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 front-loaded with the purpose and returns, then use cases, then chains and consumption. It is concise at four sentences, with no fluff. It could be slightly tighter (the chain list is redundant with the schema enum), but it remains efficiently structured and readable.

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 presence of an output schema, the description need not detail return types, but it still explains the risk score range, band concept, and categories. It also covers supported chains, use cases, and the API-key enhancement. Everything an agent needs to invoke and interpret the result is present, so it is fully complete.

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 provides full descriptions for both parameters (chain enum and address format), so the baseline is 3. The description adds no extra parameter semantics—it only references the chain coverage implicitly, which the schema already communicates. No additional meaning is introduced beyond the schema.

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 begins with a clear verb-resource pair ('Score a single crypto address for AML and compliance risk') that precisely states the tool's function. It also differentiates from the sibling tool screen_transaction by focusing on address-level vetting rather than transaction screening.

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 lists concrete use cases ('before sending funds', 'triage a pasted address', 'vet a deposit address'), giving clear context for when to use it. It does not explicitly exclude transaction screening, but the single sibling tool makes the distinction evident; mentioning that tool as an alternative would make this a perfect 5.

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

screen_transactionScreen transaction riskA
Read-only

Screen a transaction for AML and compliance risk by scoring both sides of the transfer.

Two modes, chosen by which arguments are given:

  • Pre-flight — pass from and to (optionally amount and asset) to screen a transfer before it is broadcast. Works on every supported chain.

  • By hash — pass only tx_hash to look up a transaction that is already on-chain. Supported on ethereum, bsc, tron and ton.

Returns the same score, band, flags and itemized signals as an address check, with each signal marked as applying to the sending or receiving side. Use it as a pre-send safety gate, or to review a payment that already went out. Each call consumes one check from the configured traql account.

ParametersJSON Schema
NameRequiredDescriptionDefault
toNoRecipient address, for screening a transfer that has not been broadcast yet.
fromNoSender address, for screening a transfer that has not been broadcast yet.
assetNoOptional asset or token symbol being transferred, for example USDT.
chainYesBlockchain network the subject belongs to.
amountNoOptional transfer amount as an integer string in the asset's base units (for example 1000000 for 1 USDT, which has 6 decimals). Never a decimal fraction.
tx_hashNoHash of an already-broadcast transaction. Mutually exclusive with `from`/`to`. Supported on ethereum, bsc, tron and ton only.

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes
subjectYesEcho of the canonical subject that was scored.

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds valuable behavioral context beyond annotations: 'Each call consumes one check from the configured traql account' (a quota side effect) and describes the return structure ('score, band, flags and itemized signals'). This is consistent with annotations and provides useful operational detail.

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?

Well-structured with a clear opening statement followed by a bulleted breakdown of modes. The information is front-loaded and each sentence serves a purpose—no filler or redundancy. It is slightly long but contains only necessary details, earning a 4 rather than 5 due to the 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 tool's complexity (two modes, six parameters, chain restrictions, and an existing output schema), the description covers all essential usage context: modes, which chains support which mode, use cases, and the quota side effect. Nothing critical is missing for an agent to invoke it correctly.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description adds meaning by explaining the two modes and how parameters relate (pre-flight: from/to, optional amount/asset; by-hash: tx_hash only, mutually exclusive). It also gives an example for the amount format, reinforcing the schema description. This is helpful clarification beyond the schema's individual parameter descriptions.

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 verb+resource: 'Screen a transaction for AML and compliance risk by scoring both sides.' It explicitly differentiates from the sibling address-check tool by focusing on transactions and even references the shared return format ('same score, band, flags and itemized signals as an address check'). This leaves no ambiguity about what the tool does and how it differs from check_address.

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 states when to use it: 'Use it as a pre-send safety gate, or to review a payment that already went out.' It also details two explicit modes with the exact parameters to pass ('pass from and to...' vs 'pass only tx_hash') and lists chain support for each. While it doesn't explicitly name check_address as an alternative, the mention of 'same... as an address check' implies routing, so guidance is strong but not exhaustive.

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. 2 tool updatesv0.1.0
    • First observedcheck_address
    • First observedscreen_transaction

TDQS

A4.4/5.0

Scored across 2 tools

Disambiguation5/5

The two tools target distinctly different entities: check_address evaluates a single address, while screen_transaction evaluates a transaction by scoring both sides. They are clearly separated by purpose and input requirements, with no overlapping functionality.

Naming Consistency5/5

Both tool names follow a consistent verb_noun pattern: check_address and screen_transaction. The verbs ('check' vs 'screen') are semantically appropriate and the noun targets (address, transaction) are clear, maintaining a uniform naming style.

Tool Count4/5

With only two tools, the server is compact but well-scoped for its narrow AML screening purpose. Each tool covers a fundamental operation (address check and transaction screening), so the count feels appropriate rather than insufficient, though it is below the typical 3-15 range.

Completeness4/5

The tool surface covers the primary use cases for AML risk assessment: pre-transaction screening and single-address checks. Minor gaps exist, such as lack of batch processing or historical investigation features, but these are not essential for the stated purpose and do not create dead ends in common workflows.

Maintenance

ActivityMaintained
ResponsivenessNo issues

Related MCP Connectors

Related MCP Servers

  • A
    license
    B
    quality
    D
    maintenance
    Provides blockchain address risk scoring and asset information through the BICScan API, allowing users to assess risks for crypto addresses, domains, and dApps on a scale of 0-100.
    2
    16
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables AI agents to access real-time crypto risk intelligence with two tools: Flare for precursor detection and Core for overall risk environment assessment.
    4
    -
  • A
    license
    Not graded
    quality
    C
    maintenance
    Crypto compliance tools for AI-agent payments: screen any address for sanctions, frozen-stablecoin and hacker/mixer exposure across 8+ chains, trace fund taint, and get an allow/review/decline decision before settlement. Free keyless address checks; deeper endpoints are x402-payable.
    314 npm
    MIT