AutoFYI MCP
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- FlicenseNot gradedqualityCmaintenanceEnables secure, read-only analytical querying of financial data through natural language, with built-in SQL injection defense and automatic query repair.-
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to query account balances, audit corporate ledgers, and prepare or execute banking transfers under strict whitelisting, spending caps, human approval, and emergency freeze controls.Business Source 1.1
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to carry out PayPal payments, invoice recordings, and refunds through a fail-closed firewall that enforces spending limits and trusted recipients, cross-checks requests against account records, and screens for prompt injection. Unusual or unverifiable requests are halted and escalated to a human for approval before any execution.MIT
- FlicenseNot gradedqualityDmaintenanceEnables users to manage personal finances using natural language, including tracking expenses, income, budgets, and generating financial summaries.-
- FlicenseNot gradedqualityDmaintenanceEnables secure interaction with billing systems through comprehensive PII/PCI redaction, field allowlisting, and multi-layer security controls. Protects sensitive financial data while providing LLMs safe access to account, subscription, and invoice information.-
- AlicenseNot gradedqualityBmaintenanceEnables finance and operations teams to hand off one-off and recurring tasks to cloud agents or people, query workflows, data tables, reports, and business context documents, and use connected apps through natural language.MIT
TDQS
Scored across 18 tools
Most tools have distinct purposes, but search_clients and find_client both handle client lookup with ranked candidates, and get_client_jobs_to_invoice and get_jobs_and_interim_table overlap in reading live FYI jobs. Descriptions help clarify the differences, but an agent could still misselect in some situations.
Tool names generally follow a consistent verb_noun pattern (describe_, get_, prepare_, etc.), with only autofyi_health deviating from the pattern. Minor inconsistencies like singular vs plural (client vs clients) are present but do not cause confusion.
At 18 tools, the set is slightly above the ideal 3-15 range, but each tool serves a distinct step in the billing workflow—from discovery and planning to preparation and execution. The count is justified by the complexity of the domain and the safe execution paradigm.
The tool set covers the full lifecycle for the intended use case: reading client data, inspecting billing state, planning, preparing, canceling, and executing actions. Obvious gaps include a lack of a tool to list all prepared actions, but the core workflows are well covered.