retail-ops-mcp-kit

retail-ops-mcp-kit

Provides four MCP servers for retail/CPG operations (ERP, supplier network, email, spreadsheet) with a staged-write safety model that requires human approval for all mutations.

Category
Visit Server

README

retail-ops-mcp-kit

Four small Python MCP servers — one per enterprise-system class a retail/CPG operations agent integrates (ERP / supplier network / email / spreadsheet). Each server models a real named SaaS on the wire (SAP S/4HANA, SPS Commerce, Microsoft Graph, Google Sheets, …), selectable by env, over one shared synthetic corpus. Every mutation is a staged write: it validates, records a pending_approval record, returns an approval_id, and never executes. A separate approve(approval_id, token) needs a human token that lives only in the server environment and that the agent cannot read — so auto-execution is impossible by construction. Humans stay in control of what runs versus what waits, designed into the connector layer.

  • 4 servers, one runtime dependency (mcp>=1.27.2); everything else is stdlib.
  • FastMCP + hatchling src-layout + uv, Python 3.12, docstring-per-tool.
  • All data is fully synthetic and methodology-only — see PROVENANCE.md.

"I know your stack" — tool → real SaaS endpoint

Each server's tool signature is identical across every dialect it models; only the wire envelope changes (the connector seam). A host cannot tell which system answered.

retail-erp-mcp — the three-way match (PO / goods-receipt / invoice)

MCP tool Kind SAP S/4HANA (default) Oracle NetSuite MS Dynamics 365 F&O
get_purchase_order read GET …/API_PURCHASEORDER_PROCESS_SRV/A_PurchaseOrder('…')?$expand=to_PurchaseOrderItem{"d":{…}} GET /services/rest/record/v1/purchaseOrder/{id}{id,tranId,entity,item:{items[]}} GET /data/PurchaseOrderHeadersV2(dataAreaId='usmf',PurchaseOrderNumber='…'){@odata.etag,…}
get_goods_receipt read GET …/API_MATERIAL_DOCUMENT_SRV/A_MaterialDocumentHeader (GM type 101) GET …/record/v1/itemReceipt/{id} GET /data/ProductReceiptHeaders
get_invoice read GET …/API_SUPPLIERINVOICE_PROCESS_SRV/A_SupplierInvoice('…') GET …/record/v1/vendorBill/{id} GET /data/VendorInvoiceHeaders
list_open_pos read GET …/A_PurchaseOrder?$filter=…{"d":{"results":[]}} GET …/record/v1/purchaseOrder?q=status:open{items,hasMore,offset} GET /data/PurchaseOrderHeadersV2?$filter=PurchaseOrderStatus eq 'Backorder'
stage_invoice_payment staged-write POST …/API_JOURNALENTRYITEMBASIC_SRV/A_JournalEntryItemBasic (x-csrf-token) POST …/record/v1/vendorPayment POST /data/VendorPaymentJournalHeaders
stage_po_amendment staged-write PATCH …/A_PurchaseOrder('…') (If-Match / x-csrf) PATCH …/record/v1/purchaseOrder/{id} PATCH /data/PurchaseOrderHeadersV2(…) (If-Match etag)
simulate_po_event webhook seam Advanced Event Mesh CloudEvent sap/s4/beh/purchaseorder/v1/…/Created/v1 SuiteScript user-event https.post callback Business Events → Azure Event Grid

Auth handshakes modeled per dialect (documented, never performed): SAP x-csrf-token: Fetch round-trip + sap-client; NetSuite OAuth1.0a account-ID host; D365 @odata.etag + If-Match.

retail-supplier-mcp — supplier network (ASNs / exceptions / deductions)

MCP tool Kind SPS Commerce (default) Coupa SAP Ariba
get_asn read EDI-856 Universal-JSON: hierarchicalLevels[] (S→O→T→I), carrier.scac, sscc18 REST ASN document cXML ShipNoticeRequest
get_shipment_status read 214-style status {shipmentIdentification, carrier, trackingNumber, status} ASN status document cXML StatusUpdateRequest
get_supplier read trading-partner {tradingPartnerId, senderId, …} (derived) supplier record (derived) supplier + NetworkID (derived)
list_exceptions read exception-queue rows [{id, po_id, evidence_text}] (gold_* withheld) — same abstraction — — same abstraction —
stage_credit_note staged-write EDI 810-variant Coupa document-type:"credit_note" InvoiceDetailRequest purpose="creditMemo"
stage_debit_note staged-write SPS debit doc Coupa negative invoice InvoiceDetailRequest purpose="debitMemo"
acknowledge_exception staged-write EDI 855 PO-ack (itemStatusCode IA/IB/IR) + 997 functional ack POST /documents/{id}/acknowledge cXML confirmation
simulate_inbound_asn webhook seam {eventType:"document.received", transactionType:"856", …} + the 856 payload {event:"purchase_order.updated", …} cXML StatusUpdateRequest

Ack/event vocabulary modeled: 850 (inbound PO), 856 (ASN), 810 (invoice), 855 (PO ack), 997 (functional ack); Coupa X-COUPA-API-KEY + scoped OAuth (core.invoice.write); Ariba dual apikey + OAuth and cXML <Credential domain="NetworkID">.

retail-email-mcp — supplier chase (mailbox threads + staged send)

MCP tool Kind Microsoft Graph (default) Gmail API
list_chase_thread read GET /me/messages?$filter=conversationId eq '…'{"value":[…]} GET /users/me/threads/{id}
get_supplier_reply read GET /me/messages/{id} messages.get?format=full (base64url payload)
stage_chase_email staged-write POST /me/sendMail (202, no body) messages.send {raw, threadId}
stage_escalation_email staged-write POST /me/sendMail with ccRecipients messages.send {raw, threadId}
simulate_change_notification webhook seam Graph change-notification + validationToken echo Pub/Sub {message:{data:<base64>}} + historyId cursor

The chase ladder tone (soft → firm → escalation) is recomputed from prior_chases against policy.chase_ladder — never read from a stored "next step".

retail-sheets-mcp — reconciliation worksheet

MCP tool Kind Google Sheets (default) MS Graph Excel
read_reconciliation_sheet read GET /v4/spreadsheets/{id}/values/Reconciliation!A1:I11{range,majorDimension,values} #microsoft.graph.workbookRange (values/text/numberFormat/valueTypes, JSON-number cells)
get_range read GET …/values/{range} over Reconciliation / Approvals / Audit …/worksheets('…')/range(address='…')
stage_cell_update staged-write PUT …/values/{range}?valueInputOption=USER_ENTERED PATCH …/range(address='…')
stage_row_append staged-write values:append …/tables/{name}/rows/add {values:[[…]]}
simulate_change_notification webhook seam Drive files.watch push channel (Sheets values have no native webhook) driveItem change-notification (+ 409/423 stale workbook-session)

Reconciliation is a PO+receipt+invoice+ASN join; Approvals (from approval_actions, with a recomputed Gated column) and Audit (from audit_entries, with a recomputed Complete column over policy.audit_required_fields) are also readable.

The safety model — humans control what runs vs. what waits

  1. Every mutation is a staged write. A mutation tool validates its payload against the corpus, calls staging.stage(...), and returns {result:"pending_approval", approval_id, target_endpoint, payload, validation, status:"pending"}. Nothing executes at stage time.
  2. approve(approval_id, token) is the only path to execution, and it requires the human approval token from the server environment (RETAIL_OPS_MCP_APPROVAL_TOKEN). The supplied token is compared with hmac.compare_digest. That token is never a tool return, never in the corpus, never a default — the agent has no channel to read it, so any token it fabricates fails. Absent a configured token, approval fails closed (refused).
  3. Auto-execution is impossible by construction. Staging never executes; approve needs a secret the agent structurally cannot hold. This is the deliberate inverse of "no creds in argv": here the argv token is the human's proof-of-presence, intentionally withheld from the agent.
  4. Execution is fabrication, not persistence. On a valid human approval, the stored execute(payload) returns a synthetic SaaS response envelope (a SAP journal-entry doc number, a Graph 202, a Sheets updatedCells) recorded on the in-process ledger — it never appends to a JSONL or edits the corpus.
  5. A fingerprint invariant makes it testable. corpus.fingerprint() (sha256 over all fixture bytes) is byte-identical before staging, after staging, and after a full approve+execute. smoke_test.py asserts exactly this.

Shared on every server: approve, list_pending_approvals, get_approval_status, and an active_system() tell.

System selection

Each server picks the modeled SaaS dialect from an env var (validated allowlist, safe local default, no credentials):

Server Env var Allowlist Default
retail-erp-mcp RETAIL_ERP_SYSTEM sap_s4hana, netsuite, dynamics365 sap_s4hana
retail-supplier-mcp RETAIL_SUPPLIER_SYSTEM sps_commerce, coupa, ariba sps_commerce
retail-email-mcp RETAIL_EMAIL_SYSTEM msgraph, gmail msgraph
retail-sheets-mcp RETAIL_SHEETS_SYSTEM google_sheets, msgraph_excel google_sheets

active_system() reports the wired dialect without leaking any credential.

Data posture

All 11 fixtures are fully synthetic, methodology-only, and vendored verbatim from the agentic-eval-harness retail_ops set — see PROVENANCE.md. policy.json numbers are <<TOKEN>>-tagged invented placeholders; exception rows carry only abstract MARKER_* tokens in benign filler. The suppliers() resource is the one kit-authored derivation (synthesized from the supplier FK, flagged _derived). No network call is ever made; there is no runtime path back to the harness.

Develop

just setup       # uv sync --extra dev
just check       # lint + typecheck + test + smoke  (the gate)
just smoke       # dependency-light staged-write proof → prints SMOKE OK
just run-erp     # run a server on stdio (RETAIL_ERP_SYSTEM overridable)

Wire into an MCP host

Claude Desktop (claude_desktop_config.json) or a project .mcp.json:

{
  "mcpServers": {
    "retail-erp":      { "command": "uv", "args": ["run", "retail-erp-mcp"],
                         "env": { "RETAIL_ERP_SYSTEM": "sap_s4hana",
                                  "RETAIL_OPS_MCP_APPROVAL_TOKEN": "<operator-injected; NOT known to the agent>" } },
    "retail-supplier": { "command": "uv", "args": ["run", "retail-supplier-mcp"],
                         "env": { "RETAIL_SUPPLIER_SYSTEM": "sps_commerce",
                                  "RETAIL_OPS_MCP_APPROVAL_TOKEN": "<operator-injected>" } },
    "retail-email":    { "command": "uv", "args": ["run", "retail-email-mcp"],
                         "env": { "RETAIL_EMAIL_SYSTEM": "msgraph",
                                  "RETAIL_OPS_MCP_APPROVAL_TOKEN": "<operator-injected>" } },
    "retail-sheets":   { "command": "uv", "args": ["run", "retail-sheets-mcp"],
                         "env": { "RETAIL_SHEETS_SYSTEM": "google_sheets",
                                  "RETAIL_OPS_MCP_APPROVAL_TOKEN": "<operator-injected>" } }
  }
}

The approval token belongs in the host/operator's env injection (or a secrets manager), and is deliberately withheld from the agent — that withholding is the entire control. Without it configured, all approvals fail closed.

License

Dual-licensed under Apache-2.0 OR MIT (added at T1). All data synthetic — see PROVENANCE.md.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured