MediaMath for Openclaw

A comprehensive programmatic advertising integration for managing MediaMath DSP data, campaigns, and automated workflows.

gora050
v1.0.2
May 1, 2026
0
400
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install mediamath

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install mediamath using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is MediaMath?

MediaMath is a premier demand-side platform (DSP) that empowers advertisers to automate and optimize digital advertising campaigns across diverse channels. This skill acts as a bridge between your agent and the MediaMath ecosystem, enabling programmatic control over planning, execution, and analysis. By utilizing this integration within Openclaw Skills, developers can interact with complex advertising structures such as strategies, tactics, and reporting schedules without manually handling API complexities.

The integration is built on the Membrane framework, which abstractly handles authentication, token refreshes, and connection management. This ensures that your automation logic remains clean and focused on high-value tasks like budget optimization and audience targeting, while maintaining a secure link to MediaMath's developer API.

MediaMath Use Cases

  • Automating the generation and distribution of campaign performance reports.
  • Programmatically adjusting campaign strategies and budget flights based on real-time data.
  • Managing and syncing tracking pixels and audience segments for precise targeting.
  • Executing bulk uploads for creative assets and strategy configurations.
  • Integrating MediaMath data streams into centralized marketing analytics dashboards.

How MediaMath Works

  1. Initialize the environment by installing the Membrane CLI and authenticating your session.
  2. Create a secure connection to the MediaMath platform using the connection ensure command, which maps the domain to the correct API configuration.
  3. Verify the connection state, completing any necessary OAuth or interactive authentication steps required by the DSP.
  4. Use natural language intent discovery to find the specific MediaMath actions needed for your current task.
  5. Execute the chosen actions with structured JSON parameters or leverage the proxy request feature for direct endpoint access.

MediaMath Setup

To get started with this skill, install the necessary CLI tools and establish your connection:

npm install -g @membranehq/cli@latest
membrane login --tenant --clientName=openclaw
membrane connection ensure "https://www.mediamath.com/" --json

Follow the provided URL to complete authentication. If you are working in a headless environment, use the membrane login complete <code> command to finalize the setup.

MediaMath Data Schema & Taxonomy

The MediaMath skill organizes data into structured entities that reflect the DSP's hierarchy. Data is returned in machine-readable JSON format for easy parsing by Openclaw Skills.

Data Category Primary Entities
Campaign Management Campaign, Strategy, Tactic, Budget Flight, Creative
Audience & Targeting Audience, Segment, Pixel, Targeting Group, Geo Location
Reporting Report, Report Schedule, Performance Metric, Data Feed
Admin & Finance Organization, Team, Billing Center, User, Vendor Contract
Technical Supply Source, Pixel, Custom Model, Script, Workspace

MediaMath Advanced Features

  • Intelligent action discovery that allows agents to find API capabilities using natural language queries.
  • Transparent API proxying to access any MediaMath endpoint with automatic header injection and credential management.
  • Built-in support for multiple agent types, including specialized adjustments for Openclaw Skills and other high-performance harnesses.
  • Automatic handling of pagination and error mapping for pre-built actions to reduce token consumption.
  • Secure server-side credential management, ensuring no API keys are stored locally.

SKILL.md


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