Trail Hub / @omneity / uni-ulm.de

@omneity/uni-ulm.de

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Use uni-ulm.de via MCP and API: Forschungsstarke, junge Universität mit über 10 000 Studierenden in Medizin und MINT-Fächern inmitten der Wissenschaftsstadt Ulm.

uni-ulm.de

What is Herd?

Herd is a powerful browser automation platform that lets you connect any AI like ChatGPT, Claude, or even Cursor to your favorite websites. This Trail is a pre-built automation for uni-ulm.de. An MCP (Model Context Protocol) server exposes standard tools to your Agent to read from and interact with uni-ulm.de via your browser securely.

With Herd and this trail, your agent can run:

feed-feed-uulm-moodle-feed: Nachrichten zum Thema Moodle an der Universität Ulm
feed-feed-uulm-nachrichten: Nachrichten der Universität Ulm
feed-feed-uulm-carreer-service: Nachrichten des Career Service der Universität Ulm

See all actions

Learn more about Herd

Trail Details

Selected Version

v1.0.0 (1 version available)

Published By

Omneity Labs (@omneity)

Last Updated

4/18/2025

Downloads

Quick Actions - MCP compatible

Install Herd browser extension to connect your AI tools.

Chrome

Edge

Brave

Setup Guide ▶

Supported Websites

uni-ulm.de

Herd is not affiliated with uni-ulm.de and is not endorsing its content. Herd makes websites accessible over MCP and API, but never hosts any content. Make sure to accept the respective terms of service before using this trail.

All trademarks reserved to their respective owners.

Installation and Usage

Quick Run

herd trail server @omneity/uni-ulm.de

SDK Implementation

Usage Example

import { HerdClient } from '@monitoro/herd';

// Initialize Herd client (use your own API key)
const herd = new HerdClient({ token: 'YOUR_HERD_API_KEY' });

// Run the 'feed-feed-uulm-moodle-feed' action
const result = await herd.runTrail('@omneity/uni-ulm.de@1.0.0', {
	actionName: 'feed-feed-uulm-moodle-feed',
	params: {
		
	}
});

console.log('Trail result:', result);

Available Actions

All the following actions for @omneity/uni-ulm.de are accessible via the built-in MCP server, CLI, REST API as well as programmatically via the SDK.