Connect OpenAI to live JD Edwards data, securely.
CData Connect AI lets you plug any business application into any AI tool—like JD Edwards into OpenAI—for live, trusted answers and actions with zero data copies.
Schema-aware MCP server
OpenAI reads your full JD Edwards data model on connect
Cross-source MCP toolset
Join live JD Edwards with hundreds of other systems in one prompt
Bidirectional with identity passthrough
OpenAI reads and writes under your access rules
JD Edwards:
JD Edwards is an integrated enterprise resource planning (ERP) suite from Oracle designed for asset-intensive and project-driven industries such as manufacturing, construction, and distribution. It provides end-to-end management of financials, procurement, inventory, manufacturing, and human resources, and is available across cloud, on-premises, and hybrid deployment models to suit a wide range of organizational needs.
OpenAI:
OpenAI’s agent framework combines the Responses API (with built-in Tools like Web, File, and Computer), the Agents SDK (for stateful tool use with tracing), and the Realtime API (for multimodal and voice-first agents). With Connect AI, you can give OpenAI agents live, governed business data from across your stack—without building custom tool wrappers or staging data pipelines.
Popular OpenAI & JD Edwards integration use cases
- Autonomous OpenAI agents — Build agents that plan and execute multi-step workflows grounded in real-time JD Edwards data.
- Voice-first copilots with the Realtime API — Let agents speak, reason, and act while pulling live context from JD Edwards.
- Retrieval and tool calls via the Responses API — Enable accurate summaries, answers, and updates based on current JD Edwards records.
- Auditable, governed tool usage — Expose only approved read/write operations on JD Edwards to OpenAI agents, with full logging via the Agents SDK.
Learn more about CData Connect AI
JD Edwards to OpenAI features
Access data where it lives right now. Ensure data is always live, always retains its metadata and semantics, and always protected by source system permissions.
Expose your data's metadata, relationships, and context so AI has real understanding of your business without recreating it on top of a warehouse.
Point-and-click connection setup that works for both queries and actions so you can set up integrations in minutes.
Pass through and edit role-based access control (RBAC) inherited from the source to users in AI and AI agents.
Model Context Protocol (MCP)
Connect AI is first managed Model Context Protocol (MCP) platform for AI integration. Model Context Protocol (MCP) is an open standard for connecting AI assistants, agents, and automations to external tools and data.
With Connect AI's managed MCP platform, you can present your enterprise systems as standardized MCP tools and resources and call them directly from AI.
Instead of building and maintaining dozens of one-off MCP Servers, your AI simply calls one universal MCP URL from Connect AI, and gets governed access to live data from across your enterprise stack.
Access live JD Edwards data in other popular AI tools
No complicated data movement, ETL, or data integration required. Securely connect live JD Edwards data with any AI tool that supports MCP. Select your preferred tool below to learn more.
