logly/mureo

Overview

A local-first Python tool that provides AI-powered assistance for ad operations tasks. It integrates with Claude Code, Cursor, Codex, and Gemini, allowing users to run ad ops workflows directly from their development environment.

Best for

Best for
Developers and ad ops professionals who want AI assistance integrated into their local development workflow

Use cases

• Query ad campaign performance using natural language prompts
• Generate ad creative variations with local language models
• Automate routine ad ops tasks like budget adjustments or reporting

How to use

Install

pip install mureo

Tools exposed

• google_ads_campaigns_list
• google_ads_campaigns_get
• google_ads_campaigns_create
• google_ads_campaigns_update
• google_ads_campaigns_update_status
• google_ads_campaigns_diagnose
• google_ads_ad_groups_list
• google_ads_ad_groups_create
• google_ads_ad_groups_update
• google_ads_ads_list
• google_ads_ads_create
• google_ads_ads_create_display
• google_ads_ads_update
• google_ads_ads_update_status
• google_ads_ads_policy_details
• google_ads_keywords_list
• google_ads_keywords_add
• google_ads_keywords_remove
• google_ads_keywords_suggest
• google_ads_keywords_diagnose

Tested with

Claude Desktop, Claude Code, Cursor, Cline, Continue, ChatGPT

Notes

A local-first Python tool that provides AI-powered assistance for ad operations tasks. It integrates with Claude Code, Cursor, Codex, and Gemini, allowing users to run ad ops workflows directly from their development environment.

8 stars on GitHub. Last updated 2026-05-31. Licensed Apache-2.0.

Use cases

• Query ad campaign performance using natural language prompts
• Generate ad creative variations with local language models
• Automate routine ad ops tasks like budget adjustments or reporting

Pros

• Runs locally, preserving data privacy and enabling offline use
• Works with multiple popular AI coding assistants
• Python-based, easy to customize and extend

Cons

• Very early stage with minimal community and documentation (8 stars)
• Dependent on local LLM setup for full functionality
• May require manual integration for specific ad platforms

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.