JAMS JAX

JAMS JAX is an AI agent built into the JAMS Web Client that finds jobs, troubleshoots failures and answers how-to questions in plain language, shipped alongside JAMS MCP, a Model Context Protocol connector that brings JAMS into Cursor, VS Code, Claude Code, Claude Desktop and Codex. It is aimed at IT operations and platform teams running enterprise workload automation who cannot send scheduling data to a third-party model.

JAMS Software made JAX and JAMS MCP generally available on July 24, 2026, bringing AI to enterprise job scheduling under an unusually strict control model. JAX is an AI agent embedded in the JAMS Web Client that finds jobs, diagnoses failures and answers how-to questions in plain language, with every response grounded in the JAMS user guide and checked against a built-in glossary rather than generated freely. JAMS MCP is a connector built on the open Model Context Protocol standard that exposes JAMS to the AI tools engineers already use — Cursor, VS Code with GitHub Copilot, Claude Code, Claude Desktop and Codex — so teams can query jobs, investigate failures and manage runs without leaving their editor. The governance model is the differentiator: both capabilities run inside the customer's own network and act as the signed-in user with that user's exact JAMS permissions, with no elevated AI service account. Reads flow freely while every write action pauses for explicit user approval, JAX acts only when asked, it does not learn between sessions, conversations are not retained on the server, and JAMS never trains on customer data. Operations are written to dedicated logs and changes are recorded in the standard JAMS audit trail. Customers choose which model runs — OpenAI, Anthropic or a local model executing entirely on the customer's own hardware — and both capabilities ship at no additional cost as part of JAMS Web. JAMS, founded in 1987 and headquartered in Middletown, Delaware, schedules workloads across SQL Server, Azure Data Factory, Airflow, SAP, JD Edwards and Banner.

Category

Automation & Workflows

Pricing

Contact for pricing

Target Market

CIOs, IT Operations Leaders, Enterprise Developers, Platform Engineering Teams, Workload Automation Administrators

Founded

1987

Headquarters

Middletown, Delaware, United States

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  JAX in-product AI agent

  Finds jobs, troubleshoots failures and answers how-to questions in plain language, grounded in the JAMS user guide and checked against a built-in glossary.

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  JAMS MCP connector

  An open Model Context Protocol connector that brings JAMS into Cursor, VS Code with Copilot, Claude Code, Claude Desktop and Codex.

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  Runs as the signed-in user

  Every action executes under the user's exact JAMS permissions with no elevated AI account.

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  Approval-gated writes

  Read operations proceed automatically while every write action pauses for the user's explicit approval before it runs.

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  Bring your own model

  Customers choose OpenAI, Anthropic or a local model running entirely on their own hardware inside their own network.

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  No retention, no training

  JAX does not learn between sessions, conversations are not retained on the server, and JAMS never trains on customer data.

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  Diagnose a failed overnight batch run

  Ask JAX in plain language why a job failed and get an answer grounded in JAMS documentation instead of digging through logs manually.

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  Manage scheduling from the IDE

  Use JAMS MCP to query jobs, investigate failures and manage runs directly from Cursor, VS Code with Copilot, Claude Code or Codex.

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  Air-gapped AI operations

  Run the whole assistant on a local model inside the customer network so no scheduling or job data leaves the environment.

JAX and JAMS MCP ship at no additional cost as part of JAMS Web; JAMS itself is licensed commercially and does not publish rates.

This page was written from 2 sources, 1 on domains other than jamsscheduler.com.

1. 1.prnewswire.com — jams launches ai for enterprise job scheduling jax and jams
2. 2.jamsscheduler.com — aivendor