"Answer" matching MCP servers:

Enables Claude to answer business questions about stock, orders, customer balances, overdue orders and KPIs from live ERP data using fixed, parameterized read-only queries, with bounded results and every call logged to an audit trail.

This MCP server gives AI assistants over business data a provenance layer: every number in an answer traces back to specific records, auditable and tamper-evident. It enforces that the model never generates figures—only selects operations whose results are computed deterministically in SQL.

A read-only MCP server that transforms Deputy workforce records into operational workflows, enabling AI assistants to answer questions about coverage gaps, overtime risk, timesheet exceptions, availability conflicts, and staffing summaries.

Read-only MCP server that lets Claude, ChatGPT, or Cursor answer pest-business questions from your GorillaDesk account in plain English—looks up customers, invoices, schedules, and technicians without creating or changing data.

Enables AI agents to view SAP production orders, answer questions, and post goods receipts by integrating with SAP backend through MCP tools.

A read-only MCP server for the NuMetric.work accounting/POS/ERP platform, exposing 38 tools to query live business data such as financial statements, invoices, taxes, projects, inventory, and documents. It enables AI assistants to answer from real accounting data without any create, edit, or delete capabilities.

Enables AP analysts to find out why an Oracle Fusion Cloud ERP invoice is not paying by pulling the invoice, its holds, accounting period status, and budgetary control results into one read-only answer with resolution steps and owning teams. It returns funds statuses and failure reasons, reporting a balance only when Oracle Budgetary Control supplies one and marking numeric fields unavailable otherwise.

An AI business analyst for your Odoo ERP. Ask one question, get one answer — numbers, highlights, risks, and a verdict (on-track / at-risk / off-track) — over the Model Context Protocol. CRUD bridges to Odoo already exist; this is the analytics layer that sits on top.

Enables AI agents to answer supply chain questions — such as which parts are single-sourced, which purchase orders are late, what a bill of materials costs, or what happens if a supplier slips — through read-only tools over supplier, purchase order, inventory, and bill-of-materials data. Every result includes the record IDs behind it, so answers can be cited and checked by a supply manager.