$ loading_
Analyze Amex statements to reveal vendors, detect subscriptions, and flag fraud.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "AmexAnalysis-MCP" yet — see the docs or source repo.
Analyze this American Express credit card statement, identify abbreviated or masked vendor names, and return a table with transaction date, original description, and inferred merchant.
A transaction table showing the original merchant description and the inferred vendor name.
Review this Amex statement for recurring periodic charges, identify likely subscription services, and list the amount, frequency, and merchant.
A list of suspected subscriptions with their billing pattern and merchant details.
Analyze this American Express statement, flag transactions that may indicate fraud, and explain why, such as unusual amounts, unfamiliar merchants, or odd frequency.
A list of suspicious transactions with a short explanation of each risk signal.
Individual users can review American Express statements with natural language to identify unfamiliar merchants, subscription charges, and unusual transactions, reducing manual checking time.
Data analysts or office workers can use it to organize statement transactions, reveal merchant names, and isolate recurring charges before reconciliation or expense analysis.
When a user suspects unusual card activity, the tool can help locate potentially fraudulent transactions and provide initial signals based on transaction patterns.
It analyzes American Express credit card statements, supports vendor unmasking, subscription detection, and fraud detection, and is used through natural language interaction in Claude Desktop.
The provided information indicates that it is used through natural language interaction via Claude Desktop. More specific installation and configuration steps are not provided in the current materials.
It does more than display a statement by adding vendor identification, subscription discovery, and fraud detection. For any further differences, see the source repository.
Parse bank statements into structured transaction data for analysis and automation.
Process payments, manage subscriptions, detect fraud, and generate analytics via Mercado Pago.
Analyze local CSV or Parquet datasets and generate insights without full uploads.
Turn bank transactions into digests with forecasts, spending analysis, and receipt matching.
Query Amplitude analytics for events, retention, active users, and profiles.
Read products, check approvals, and analyze feeds across Merchant Center accounts.