PropellerAds MCP Server

PropellerAds MCP Server

Integrates PropellerAds' programmatic advertising platform with AI to automate campaign management, real-time optimization, and performance analysis. It enables users to create, scale, and manage ad campaigns through natural language commands for tasks like bid adjustment and zone blacklisting.

Category
Visit Server

README

PropellerAds MCP Server

Democratizing Programmatic Advertising with AI

License: MIT Python MCP

Transform your media buying with AI-powered campaign optimization. This MCP (Model Context Protocol) server integrates PropellerAds' powerful programmatic advertising platform with Claude, enabling automated campaign management, real-time optimization, and data-driven decision making.

Created by @jannafta | Website

Why PropellerAds MCP?

In the fast-paced world of programmatic advertising, success depends on quick decisions and continuous optimization. This MCP server brings the power of AI to your fingertips, allowing you to:

  • Automate Campaign Management: Create, update, and optimize campaigns with natural language commands
  • Real-time Performance Analysis: Get instant insights on ROI, CTR, conversions, and more
  • Smart Optimization: AI-driven bid adjustments, creative rotation, and targeting refinement
  • Scale Efficiently: Identify and capitalize on winning campaigns automatically
  • Save Time: Focus on strategy while AI handles the repetitive tasks

Perfect for:

  • Media Buyers and Performance Marketers
  • iGaming Affiliates
  • App Developers and Publishers
  • Growth Hackers and Digital Agencies
  • Anyone running PropellerAds campaigns

Quick Start

Prerequisites

  1. PropellerAds Account: You need an active account with API access

    • Minimum requirement: $1000 total spend or deposit
    • Get your API token from: https://ssp.propellerads.com/#/app/profile
  2. Claude Desktop: Install Claude Desktop app

    • Download from: https://claude.ai/download
  3. Python 3.10+: Required for the MCP server

Installation

Option 1: Install from PyPI (Recommended)

pip install propellerads-mcp

Option 2: Install from source

git clone https://github.com/JanNafta/propellerads-mcp.git
cd propellerads-mcp
pip install -e .

Configuration

Add to your Claude Desktop configuration file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "propellerads": {
      "command": "python",
      "args": ["-m", "propellerads_mcp"],
      "env": {
        "PROPELLERADS_API_TOKEN": "your_api_token_here"
      }
    }
  }
}

Restart Claude Desktop and you're ready to go!

Example Commands

Campaign Management

"Show me all my active campaigns sorted by ROI"

"Create a push campaign for gaming offers in Brazil with $100 daily budget"

"Pause all campaigns with negative ROI in the last 7 days"

"Clone my best performing campaign to Mexico, Colombia, and Peru"

Performance Analysis

"What's my campaign performance for the last week?"

"Compare this week's performance vs last week"

"Show me the top 10 zones by conversions for campaign 12345"

"Which creatives have CTR below 0.5%?"

Optimization

"Find all zones spending over $50 without conversions and blacklist them"

"Show me campaigns ready for scaling (ROI > 50%)"

"Find top performing zones for my dating campaigns"

Available Tools

Campaign Tools

  • list_campaigns - View all campaigns with filters
  • get_campaign_details - Get complete campaign information
  • create_campaign - Create new advertising campaigns
  • update_campaign - Modify campaign settings
  • start_campaigns - Activate campaigns
  • stop_campaigns - Pause campaigns
  • clone_campaign - Duplicate successful campaigns

Statistics Tools

  • get_performance_report - Detailed performance metrics
  • get_campaign_performance - Campaign summary with insights
  • compare_periods - Period-over-period analysis
  • get_zone_performance - Placement-level analytics
  • get_creative_performance - Creative performance breakdown

Optimization Tools

  • find_underperforming_zones - Find zones wasting budget
  • find_top_zones - Identify best placements for whitelisting
  • find_scaling_opportunities - Find campaigns ready to scale
  • auto_blacklist_zones - Automatically blacklist bad zones

Targeting Tools

  • add_to_whitelist - Add zones to campaign whitelist
  • add_to_blacklist - Add zones to campaign blacklist

Account Tools

  • get_balance - Check account balance
  • get_available_countries - List targetable countries
  • get_ad_formats - List available ad formats

Security & Permissions

  • API Token: Stored securely in environment variables
  • Read Operations: Executed without confirmation
  • Write Operations: Require explicit user confirmation
  • Rate Limiting: Respects PropellerAds API limits

Use Cases

Daily Optimization Routine

1. "Show me yesterday's performance for all campaigns"
2. "Find and blacklist underperforming zones"
3. "Show me campaigns ready for scaling"

Campaign Scaling

1. "Find campaigns with ROI > 100% and at least 50 conversions"
2. "Clone top performer to similar GEOs"
3. "Increase budget by 50% for profitable campaigns"

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

Keywords

propellerads mcp programmatic dsp ssp adtech adops performance-marketing igaming media-buying rtb cpm cpc cpa push-notifications popunder interstitial ai-automation claude anthropic


Made with love for the programmatic advertising community

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured