Remote MCP server for Adrails: AI agents for Meta Ads and Google Ads, every change approved by you.
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
- !No standard license detected
git clone https://github.com/devthomy/adrails-mcp{
"mcpServers": {
"adrails-mcp": {
"command": "node",
"args": ["/path/to/adrails-mcp/dist/index.js"]
}
}
}Resumen de MCP Servers
<p align="center"><img src="logo.png" width="96" height="96" alt="Adrails"></p> # Adrails MCP server Remote MCP server for [Adrails](https://adrails.ai), the AI workspace for paid media. Connect Claude, Claude Code, ChatGPT, Codex or any remote MCP client to your Meta Ads and Google Ads accounts, your store and your analytics. Reads run at once; every advertising change comes back as a proposal you approve in the browser before it reaches Meta or Google. This repository holds the listing metadata. The server itself is hosted by Adrails: there is nothing to install or run. | | | | --- | --- | | Server URL | `https://adrails.ai/api/mcp` | | Transport | Streamable HTTP | | Authentication | OAuth 2.1 with PKCE and dynamic client registration | | Official MCP Registry | `ai.adrails/adrails` | | Documentation | [adrails.ai/docs/mcp](https://adrails.ai/docs/mcp) | ## Connect You need an Adrails account. Every client uses the same URL; the client registers itself and you sign in to Adrails, then choose the workspace and the permissions on the consent screen. **Claude** (claude.ai and desktop): Settings, Connectors, Add custom connector. Name it `Adrails`, paste `https://adrails.ai/api/mcp`, leave the OAuth client ID and secret empty, then connect. **Claude Code** ```sh claude mcp add --transport http adrails https://adrails.ai/api/mcp ``` Then run `/mcp`, select `adrails` and authenticate. **ChatGPT**: turn on Developer mode in Settings (it depends on your plan and workspace policy), open Plugins and add a custom MCP server named `Adrails` with the URL above and OAuth authentication. **Codex** ```sh codex mcp add adrails --url https://adrails.ai/api/mcp codex mcp login adrails ``` Full steps, including other clients: [Connect an AI client](https://adrails.ai/docs/mcp/connect). ## What it can do 63 tools, filtered by the permissions you grant and your role in the workspace: - **Performance and analysis**: period and daily performance, metric comparisons, diagnosis, portfolio and business reviews across Meta and Google Ads, with store revenue next to ad metrics. - **Campaigns**: campaign structure, drafts, templates, media, audience and keyword research (including Google Keyword Planner volumes). - **Changes under approval**: budget, status and campaign launches are prepared as proposals with a link to review the exact before and after. - **Business data**: Shopify, Klaviyo, Stripe, Triple Whale and PostHog connections, orders, customers and revenue. - **Workspace**: automations, Knowledge, channels and job status. Every tool, its inputs and its access level: [MCP tools reference](https://adrails.ai/docs/mcp/tools). ## Try - *Which Meta and Google Ads campaigns wasted the most spend last week, and why?* - *Compare blended ROAS this month with last month, using Shopify revenue.* - *Prepare a 20% budget increase on my best campaign.* Nothing changes until you approve the link it returns. ## Security A tool call runs no Adrails AI model, so it uses no agent credit (except an automation with an agent step), and it never writes to an ad account by itself: a change to Meta or Google Ads needs your explicit approval, signed in to Adrails, before the proposal expires. Connections can be revoked at any time from the MCP page in Adrails. Details: [MCP security](https://adrails.ai/docs/mcp/security). ## Support support@adrails.ai · [adrails.ai](https://adrails.ai) · Built by TBSS Labs, LLC. Not affiliated with Meta Platforms, Inc. or Google LLC.
Lo que la gente pregunta sobre adrails-mcp
¿Qué es devthomy/adrails-mcp?
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devthomy/adrails-mcp es mcp servers para el ecosistema de Claude AI. Remote MCP server for Adrails: AI agents for Meta Ads and Google Ads, every change approved by you. Tiene 0 estrellas en GitHub y su última actualización registrada es del 2026-10-03.
¿Cómo se instala adrails-mcp?
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Puedes instalar adrails-mcp clonando el repositorio (https://github.com/devthomy/adrails-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar devthomy/adrails-mcp?
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Nuestro agente de seguridad ha analizado devthomy/adrails-mcp y le ha asignado un Trust Score de 70/100 (tier: OK). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene devthomy/adrails-mcp?
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devthomy/adrails-mcp es mantenido por devthomy. La última actividad registrada en GitHub es del 2026-10-03, con 0 issues abiertos.
¿Hay alternativas a adrails-mcp?
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Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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