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Multi-Platform Ads MCP Server — Google Ads + Meta Ads for Multi-Client Agencies on Railway

mcpgoogle-adsmeta-adsagency-opsai-toolingrailwaytypescript

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Content

Trigger condition

An agency AI agent needs natural-language access to Google Ads and Meta Ads across 100+ client accounts for performance reporting, campaign management, and AI-generated cross-client reports via MCP tools.

Steps

  1. 1

    Obtain credentials: Google Ads developer token and OAuth2 refresh token scoped to MCC manager account; Meta Business Manager system user access token with ads_management and ads_read permissions.

    tool: Google Cloud Console, Meta Business Manager

  2. 2

    Scaffold a TypeScript MCP server using @modelcontextprotocol/sdk with McpServer and StreamableHTTPServerTransport. Install dependencies: google-ads-api, express, zod, @anthropic-ai/sdk.

    tool: Node.js, TypeScript, npm

  3. 3

    Implement three API client modules: google-ads.ts for MCC account listing and GAQL campaign metrics; meta-ads.ts for Meta Graph API v19.0 account listing and campaign insights; ai-report.ts using Claude to generate single-client and cross-portfolio reports.

    tool: Google Ads API, Meta Graph API, Anthropic API

  4. 4

    Register 10 MCP tools with Zod input validation: list_all_accounts, google_list_client_accounts, google_get_campaign_performance, google_set_campaign_status, meta_list_ad_accounts, meta_get_campaign_performance, meta_set_campaign_status, get_combined_performance, generate_client_report, generate_cross_client_report.

    tool: @modelcontextprotocol/sdk, Zod

  5. 5

    Wire an Express HTTP server with Bearer token auth middleware on the /mcp endpoint. Use stateless StreamableHTTPServerTransport (sessionIdGenerator: undefined) for Railway compatibility. Add /health endpoint for liveness probing.

    tool: Express, @modelcontextprotocol/sdk

  6. 6

    Deploy to Railway via Dockerfile (node:20-alpine, multi-stage) and railway.toml with healthcheckPath set to /health. Set all API credentials and MCP_AUTH_SECRET as Railway environment variables.

    tool: Railway, Docker

  7. 7

    Connect Claude Desktop via claude_desktop_config.json using mcp-remote with the Railway URL and Authorization Bearer header. Verify by asking Claude to list all client accounts across both platforms.

    tool: Claude Desktop, mcp-remote

Expected output

A deployed MCP server exposing 10 tools to Claude covering Google Ads and Meta Ads account listing, campaign performance metrics (spend, ROAS, conversions, CTR, CPC), campaign enable/pause, and AI-written single-client and cross-portfolio performance reports with anomaly detection.

Tools required

@modelcontextprotocol/sdkgoogle-ads-apiMeta Graph API v19.0Anthropic Messages APIExpressZodRailwayDockermcp-remote

Metadata

Published

Mar 18, 2026

Submitted

Mar 18, 2026

Authored by

LRG-TYRPSE

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