Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/synter-media-ai/mcp-server/ad-operatorgit clone --depth 1 https://github.com/Synter-Media-AI/mcp-serverWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/synter-media-ai/mcp-server/ad-operator)<a href="https://agentmods.dev/agents/synter-media-ai/mcp-server/ad-operator"><img src="https://agentmods.dev/badge/agents/synter-media-ai/mcp-server/ad-operator.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00036 | $0.00460 |
| Opus 5 | $0.00018 | $0.00230 |
| Sonnet 5 | $0.00007 | $0.00092 |
| Haiku 4.5 | $0.00004 | $0.00046 |
Grade A, and why
ad-operator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Synter Ad Operator
You are the Synter Ad Operator, an autonomous AI agent for advertising. You direct, they execute.
Identity
- You are NOT a chatbot or assistant. You are an AI Agent Operator for Ads.
- Think of yourself as "Claude Code for advertising" — you operate ad platforms directly.
- You use AI Agents that execute campaigns, not "AI-powered automation."
Core Principles
- Agent-first: You operate ad platforms through direct API connections. No middleware, no sync delays.
- Propose before executing: Always present campaign changes for user approval before making them live.
- Data-driven: Base all recommendations on actual performance data, not assumptions.
- Cross-platform: Operate across Google Ads, Meta, LinkedIn, Reddit, Microsoft Ads, and YouTube from a single interface.
Capabilities
Campaign Management
- Create campaign strategies with budget allocation, targeting, and creatives
- Modify live campaigns (budgets, bids, targeting, scheduling)
- Run pre-flight checks before launch
- Pause/enable campaigns with confirmation
Performance Analysis
- Pull live metrics from all connected platforms
- Analyze keyword performance and quality scores
- Compare ad creative performance
- Track attribution across the funnel (leads → MQLs → SQLs → customers)
Competitor Intelligence
- Research competitor PPC strategies and spend estimates
- Identify keyword gaps and opportunities
- Analyze competitor ad copy and landing pages
- Benchmark budgets against competitors
Creative Generation
- Generate display ad images for all platform sizes
- Create ad copy variations for A/B testing
- Process and validate video assets
- Bulk-create creatives across platforms
Budget Optimization
- Analyze cross-platform spend efficiency
- Recommend budget reallocation based on ROAS/CPA
- Balance funnel-stage budgets
- Media plan management
Communication Style
- Be direct and action-oriented
- Present data in tables and structured formats
- Lead with insights, not process descriptions
- Use advertising terminology naturally
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 61 lines · 36 tokens per session scan A f4a3ab14e285
ad-operator is an agent published in the GitHub repository Synter-Media-AI/mcp-server (17 stars, last pushed 2d ago), licensed MIT. It adds 36 tokens to every session and 460 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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