Skip to main content
Glama
CryptoAPIs-io

@cryptoapis-io/mcp-aml

Official

aml

Verify blockchain addresses and screen transactions for AML risk categories like fraud, sanctions, and ransomware. Receive risk scores, bands, and flagging sources to assess exposure.

Instructions

AML (Anti-Money Laundering) risk checks for addresses and transactions.

Actions: • verify-address: Check if a blockchain address is flagged or associated with fraud, sanctions, ransomware, exploits, darknet markets, or other AML risk categories. Returns risk score, risk band, and the flagging sources. • screen-transaction: Screen a transaction against AML data. Returns whether the transaction is flagged, its risk score/band, and the flagged participant addresses with their roles, scores, severities and categories.

Note: the credit cost of these endpoints is significant — see credits below.

Credits by action (source: OpenAPI): • screen-transaction: 500000 • verify-address: 200000

Credits are indicative only and may change at any time. The actual credits spent for each API request are returned in the response headers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesAction to perform
addressNoBlockchain address to verify against AML databases - required for verify-address
contextNoOptional context for the request - echoed back in response
blockchainNoBlockchain protocol the transaction belongs to - required for screen-transaction. One of: ethereum, ethereum-classic, binance-smart-chain, bitcoin, bitcoin-cash, dash, dogecoin, litecoin, arbitrum, polygon, avalanche, optimism, base, zcash, xrp, solana, tezos, kaspa, tron
transactionHashNoTransaction hash to screen against AML data - required for screen-transaction
Behavior3/5

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

No annotations are provided, so the description must carry the transparency burden. It discloses the return values (risk score, band, sources, flagged participants) and the credit cost behavior, including that actual credits appear in response headers. However, it does not explicitly state that the operation is read-only, nor mention rate limits or latency, so some behavioral traits remain undisclosed.

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 action bullets, return summaries, and a credit cost note. It is a bit longer than strictly necessary but each section adds meaningful information, particularly the cost warning which is valuable for an agent deciding to invoke the tool. No filler or redundant repetition of schema details.

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 there is no output schema or annotations, the description sufficiently explains what each action returns and provides important cost context. The action-based parameter requirements are clearly communicated through the bullet descriptions, making the tool self-contained and usable for an agent without additional external knowledge.

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?

Schema description coverage is 100%, so the structured schema already documents all five parameters. The description adds only minimal parameter context, such as which action uses which parameter (e.g., address for verify-address), but this is already implied by the schema descriptions. No additional semantics are needed, so the baseline of 3 is appropriate.

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 that the tool performs AML risk checks for addresses and transactions, and enumerates two specific actions (verify-address, screen-transaction) with distinct purposes and outputs. This makes it easy to distinguish from the only sibling tool, system_info.

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 gives clear context for each action: verify-address for checking a blockchain address, screen-transaction for screening a transaction. It also highlights the significant credit costs, which helps an agent weigh cost against need. However, it does not explicitly rule out when not to use the tool or compare to alternative tools beyond the implicit sibling distinction.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/CryptoAPIs-io/cryptoapis-mcp-aml'

If you have feedback or need assistance with the MCP directory API, please join our Discord server