| What it does | MCP server connecting Google Ads, LinkedIn Ads, Microsoft Ads, and Google Search Console to Claude and ChatGPT for PPC work
| Autonomous AI software engineer that connects to GitHub to resolve issues and ship pull requests
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | MD
| US
|
|---|
| Pricing model | Freemium
| Not given
|
|---|
| Pricing | Free: 500 requests first month (drops to 50/month after), view-only, 1 platform. Pro: $29/month, 5,000 requests/month, 200 edits/month, all platforms. Max: $89/month, unlimited requests, unlimited edits, all platforms, 3 team members. Agency: Custom pricing, unlimited requests and edits, per-seat pr
| Not given
|
|---|
| Key features | - Google Ads MCP with search term audits, pacing checks, and preview before changes
- LinkedIn Ads MCP with campaign, audience, creative, and conversion data access
- Microsoft Ads MCP with search, Performance Max, audience tools, and Google Ads import
- Google Search Console MCP with organic reports and paid vs organic analysis
- Read-only by default with per-platform write access control
- Preview-confirm-execute flow for all write actions
- Multi-account and Manager (MCC) support
- Encrypted platform tokens at rest
- Per-tool-call audit log for every change
- Works with Claude, ChatGPT, Cursor, Codex, and VS Code with GitHub Copilot
| - GitHub integration for issue assignment and pull request automation
- Evidence-backed pull requests with test results and recordings
- Automated bug reproduction and verification
- Dedicated computer environment per session
- Mobile access to monitor tasks
- Cloud and local runtime options
- Test automation and code verification
|
|---|
| What makes it different | - Connects to three platforms with write access, including LinkedIn write access few other tools offer
- Built by a working PPC specialist who runs the same audits on client accounts daily
- Can execute work with preview before every change, not just analyze
- Normalized metrics across platforms for accurate comparison
| - Evidence-based code changes with recorded proof of testing and verification
- 22% more cost efficient than competitor models
- Opinionated architecture that improves the entire development loop
- Built for trust with real repositories and careful verification
- Maintains human judgment while automating mechanical coding tasks
|
|---|
| Free plan | Not given
| Not given
|
|---|
| Open source | Not given
| Not given
|
|---|
| Platforms | Not given
| Not given
|
|---|
| Public API | Not given
| Not given
|
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 8 ▼ −1 (down) since last check | 26 ● no change since last check |
| Trust Flow (Majestic) | 25 | 10 |
| Citation Flow (Majestic) | 28 | 34 |
| Referring domains (Majestic) | 118 | 245 |