Low-code MCP server

Challenge

Postman Flows is a low-code visual editor that lets users build logic using connected blocks instead of writing code. I wanted to show users that they could use it to create a working MCP server.

Solution

I designed and built an example MCP server using Postman Flows that demonstrates the full request-response cycle. To create the server logic, I used AI to generate a compliant implementation based on the MCP standard, then wired it into a Flow that any user can inspect, fork, and adapt.

Try the Live Webhook

You can test the MCP server response directly. The flow accepts a first_name value and returns a personalized greeting.

👉 Quick Test: Hello, YourName!

Note

Technical Note: If you see an empty greeting on your first click, please refresh the page. This is due to a “cold start” latency where the cloud-hosted flow initializes before the URL parameters are fully processed.

Request Details

Choose your preferred method to see how the payload is handled:

URL Parameter

Method: GET
Modify the first_name value directly in the browser address bar.

[https://tokenizer-stars-escape.flows.pstmn.io/api/default/example-mcp-server?first_name=YourName](https://tokenizer-stars-escape.flows.pstmn.io/api/default/example-mcp-server?first_name=YourName)

JSON Body

Method: POST
Pass the name as a JSON object in the request body (ideal for programmatic testing).

{
  "first_name": "YourName"
}

View the flow in Postman

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Documentation

This case study is based on a doc I wrote for the Postman Learning Center.
View the PDF | Live link