#1104 - Langflow consuming OIC AI Agent Tools

 

Introduction

OIC's ability to expose integrations as AI Agent Tools is a groundbreaker. It gives your AI Agents seamless access to enterprise systems of record, with one mouse click. 

Langflow is a popular, open source tool for building AI Agents. As already mentioned, agents need tools to do their work, such as those exposed from OIC; check out a previous post of mine to see how simple this is. I suggest you read that post, before proceeding. At the outset, a BIG thank you to my colleague Kishore K. for his support here, he is the true SME.

Accessing Tools hosted on OIC from Langflow 

Starting point is the tool or tools exposed by my OIC project. We then proceed to Langflow, where I create a simple agent. I will then configure an MCP server connection to OIC, which I will then test.  

I need to use the following JSON to connect to my OIC Project MCP Server -

{ "mcpServers": { "MyOICProject": { "disabled": true, "timeout": 300, "type": "stdio", "command": "npx", "args": [ "-y", "supergateway", "--streamableHttp", "<paste-mcp-url>", "--oauth2Bearer", "<paste-oauth-token>" ] } } }

I already have the token in Postman, so I use it - 

As you can see, I've added a couple of more tools to my OIC Project. Now let's test the CREATE_ORDER_TOOL - 

I run and check the response - 

I validate in OIC Observability - 

Back to Langflow - I can now add the CREATE_ORDER_TOOL to the agent -