OIC MCP 101: Turn OIC Integrations into Agent Tools— Setup and Testing Guide with Postman + Langflow @oracledevs
OIC MCP 101: Turn OIC Integrations into Agent Tools— Setup and Testing Guide with Postman + Langflow  @oracledevs
Uploaded May 2026 | Updated September 2026, 2 weeks ago
Oracle Integration Cloud can act as an MCP server, allowing integrations in an OIC project to be discovered and invoked as tools from MCP-compatible clients or AI agent frameworks. Once an integration is registered as an agentic AI tool and MCP is enabled for the project, the project gets its own MCP server URL. Clients can then connect using OAuth-based access and streamable HTTP to list and call the available tools.

In this video, I walk through the complete setup for using Oracle Integration as an MCP server. You’ll see how to configure authentication, register integrations as tools, get the MCP server URL, and test the setup using Postman and Langflow.

Covered in this video:
• Configure auth for OIC MCP access
• Set up Oracle Integration as an MCP server
• Register OIC integrations as MCP tools
• Get and use the MCP server URL
• Test the tools in Postman
• Connect and run the tools in Langflow

This video is useful for Oracle Integration developers, AI automation builders, and anyone exploring how to expose enterprise integrations as reusable MCP tools for agentic AI workflows.

Oracle Cloud, REST, Oracle Cloud Infrastructure, OCI, OIC, Langflow, Postman, AI Agents, Oracle Integration Cloud, Integration, Aditya Trivedi, MCP
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OIC MCP 101: Turn OIC Integrations into Agent Tools— Setup and Testing Guide with Postman + Langflow

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