Supplyline MCP
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- FlicenseNot gradedqualityCmaintenanceEnables AI agents to query and manage ERP procurement data, including suppliers, parts, inventory, and purchase orders, with human approval for write operations.-
- FlicenseNot gradedqualityCmaintenanceEnables natural-language supply-chain analysis over synthetic datasets through governed SQL/Python tools, providing supplier scorecards, forecast accuracy, risk detection, landed-cost comparisons, capacity planning, and quality trend insights without the LLM performing quantitative calculations.-
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to query and operate on ERP data through a unified tool interface, working across CSV exports, SFTP drop folders, SQLite/ODBC, and optional enterprise APIs. It supports purchase orders, vendors, and inventory lookups while keeping agent-facing tools consistent regardless of backend.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to query Odoo sales, purchasing, manufacturing, and inventory data — open orders, late lines, supplier promise dates, shipments, and stock levels — through 12 read tools, plus one opt-in write tool for updating a purchase order line's promise date. Runs read-only by default with Odoo's own access rights applied.MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to search, retrieve, and answer grounded questions over procurement documents (invoices, purchase orders, contracts, etc.) using hybrid SQL and vector retrieval.-
- AlicenseNot gradedqualityCmaintenanceEnables AI agents and assistants to search and compare food and CPG suppliers, inspect ingredient nutrition and sustainability, retrieve commodity reference prices with history and forecasts, verify lab results, and access signed-in users' product formulations, all read-only.30 npmMIT
TDQS
Scored across 6 tools
Each tool targets a clearly distinct supply-chain question: part lookup, supplier performance, purchase order status, BOM cost, risk ranking, and delay simulation. There is no meaningful overlap between tools, so an agent can select the right one directly from its purpose.
All names use consistent snake_case and are readable, but the convention is mixed between verb_noun (search_parts, simulate_delay) and compound noun phrases (supplier_scorecard, purchase_orders, bom_cost, supply_risks). This is a minor stylistic deviation rather than a confusing inconsistency.
Six tools is well-scoped for a supply-chain analytics server, with each tool covering a distinct analysis task. The surface is focused rather than padded or thin.
The set covers key workflows: finding parts, evaluating suppliers, tracking POs, rolling up BOM cost, ranking risks, and simulating delays. Minor gaps exist around direct inventory/stock queries and richer part or supplier detail, but agents can largely work around them through the existing tools.