Connect crewAI to live JD Edwards data, securely.
CData Connect AI lets you plug any business application into any AI tool—like JD Edwards into crewAI—for live, trusted answers and actions with zero data copies.
Schema-aware MCP server
crewAI 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
crewAI 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.
crewAI:
crewAI is a multi-agent agent framework for building “crews” of specialized agents that collaborate through Agents, Tasks, Tools, and Processes (sequential or hierarchical), orchestrated via Flows. With Connect AI, your crews can work with live, governed business data from across your stack—without brittle scripts, reverse-ETL, or manual exports.
Popular crewAI & JD Edwards integration use cases
- Multi-agent workflows with shared context — Equip crews with live JD Edwards data so manager agents can plan and delegate tasks while worker agents execute and validate results.
- Decision and approval flows — Have crews analyze, summarize, and approve or reject items based on up-to-date JD Edwards data.
- Cross-system orchestration — Let crews coordinate actions across multiple tools while grounding decisions in governed JD Edwards data.
- Auditable multi-step execution — Expose only approved read/write operations on JD Edwards to crewAI agents with full RBAC, masking, and logging for every task and tool call.
Learn more about CData Connect AI
JD Edwards to crewAI 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.
