ml-connector
Oracle JD EdwardsMonday.com

Oracle JD Edwards and Monday.com integration

Oracle JD Edwards runs your on-premises finance, procurement, and operations. Monday.com organizes your work into flexible boards. Connecting the two lets you pull GL transactions and purchase orders from Oracle JD Edwards directly into a Monday.com board, eliminating manual data entry and keeping your finance team aligned with operational changes. ml-connector handles the session token lifecycle and AIS Server polling so your board always reflects the latest transactions.

How Oracle JD Edwards works

Oracle JD Edwards EnterpriseOne exposes suppliers, customers, GL accounts, purchase orders, and GL ledger transactions through REST Application Interface Services (AIS) Server running at your infrastructure. The customer provides the full AIS Server hostname and port. Authentication uses a session token obtained via POST /jderest/v2/tokenrequest with username and password, returned as an opaque token passed in the jde-AIS-Auth header on all requests. Tokens expire in 30 to 60 minutes, and HTTP 444 signals an invalid token requiring fresh authentication. Oracle JD Edwards has no native webhooks, so data is read by polling with date filters on UPMJ (update date) or GL posting date, tracking the last timestamp read.

How Monday.com works

Monday.com exposes a single GraphQL endpoint at https://api.monday.com/v2 where all operations flow through POST requests with query and mutation strings. Authentication uses either a Personal API Token sent raw in the Authorization header, or OAuth 2.0 with an authorize endpoint at https://auth.monday.com/oauth2/authorize and token endpoint at https://auth.monday.com/oauth2/token. The core model is Board containing Items (rows) with typed Columns (fields), and a finance board is customer-configured with column names and types matching finance semantics. Monday.com supports push webhooks for board-level events and enforces rate limits per tier: Free/Basic/Standard at 1,000 requests per minute, Pro at 2,500 requests per minute, and Enterprise at 5,000 requests per minute.

What moves between them

The flow moves GL transactions and purchase orders from Oracle JD Edwards into Monday.com. After you set a polling interval, ml-connector reads GL ledger entries from F0911 and purchase order records from F4301/F4311 using a date filter to capture only new or updated rows since the last poll. Each transaction is mapped to a Monday.com item (row) on your finance board, with GL account, amount, date, and PO header details placed into matching columns. Purchase order lines become sub-items or detail rows within the PO item. Data flows one direction only: Oracle JD Edwards into Monday.com. Monday.com serves as the source of truth for work assignment and notes; Oracle JD Edwards remains the source of truth for GL postings.

How ml-connector handles it

ml-connector accepts the full AIS Server hostname and port from you, along with a JDE service account username and password. On the first poll, it calls POST /jderest/v2/tokenrequest to obtain a session token, then uses that token in the jde-AIS-Auth header to query F0911 (GL Ledger) and F4301/F4311 (Purchase Orders) with a WHERE clause filtering by UPMJ >= last-polled-timestamp. Tokens expire every 30 to 60 minutes, so ml-connector checks the response status code for 444 (invalid token) and re-authenticates automatically when needed. Monday.com queries flow through GraphQL mutations to create items on your finance board and populate columns with the JDE data. Because Oracle JD Edwards supports pagination via maxPageSize (default 100) and a moreRecords flag, ml-connector fetches in batches and uses POST /jderest/v2/dataservice/next for continuation. Retries on rate-limit response from Monday.com follow exponential backoff; the integration tracks the last successful poll timestamp so a restart or failure does not re-enqueue the same transactions. Every record carries an audit trail: the JDE transaction ID, the poll run timestamp, and the Monday.com item ID, so you can trace any posting back to its source.

A real-world example

A mid-market wholesale distributor uses Oracle JD Edwards for procurement and GL posting, and has deployed Monday.com boards for procurement team workflow and financial review cycles. Before the integration, the finance manager manually exported daily GL transactions from the AIS Server, formatted them as a spreadsheet, and entered each row into a Monday.com summary board as a task for the accounting team to review. With Oracle JD Edwards and Monday.com connected, each night at 11 PM the integration polls the prior day's GL postings and POs and creates items on the finance review board, pre-populated with GL account, amount, and vendor name. Procurement staff can now see the posted GL impact within the board alongside their purchase order tracking, and the finance team's month-end close starts with GL reconciliation already 80% complete instead of waiting for the manager to copy and paste transactions.

What you can do

  • Poll GL transactions from Oracle JD Edwards F0911 and map them as items on your Monday.com finance board with account, amount, date, and reference details.
  • Fetch purchase order headers and line items from Oracle JD Edwards F4301/F4311 and represent them as board items and sub-items in Monday.com with vendor, amount, and PO status.
  • Handle Oracle JD Edwards session token refresh automatically, including recovery from 444 (invalid token) responses without manual re-authentication.
  • Accept the full AIS Server hostname and port from your infrastructure per customer and validate all API calls against that instance, since Oracle JD Edwards publishes no shared base URL.
  • Deduplicate records across polls using the last successful timestamp and transaction ID, so a restart or failure does not re-enqueue the same GL posting or purchase order.

Questions

Can the integration write GL transactions back to Oracle JD Edwards from Monday.com?
No. The flow is one direction only: Oracle JD Edwards into Monday.com. Monday.com items serve as a workflow and audit layer for your finance team, but GL postings remain the source of truth in Oracle JD Edwards. Changes made in the Monday.com board do not sync back to the ERP.
Does the integration work with Oracle JD Edwards in the cloud, or only on-premises?
Oracle JD Edwards is on-premises only in the schema covered here. ml-connector requires you to provide the full AIS Server hostname, port, and network path, since Oracle JD Edwards publishes no shared base URL. Cloud customers with AIS Server on their own infrastructure can use this integration by providing their instance details.
How does ml-connector handle Oracle JD Edwards session tokens expiring every 30 to 60 minutes?
ml-connector stores your JDE service account username and password encrypted and calls POST /jderest/v2/tokenrequest to obtain a fresh session token before each poll. If a token expires mid-poll and the AIS Server returns HTTP 444, ml-connector detects the invalid token response and re-authenticates automatically, so you don't need to refresh credentials manually.

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