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google-ads-meta-ads-mcp

Connector Data & Analytics Solid
Works inClaude Code Claude Cowork Claude Chat
Solid Scanned — metadata only

Consolidates fragmented marketing data streams into a single interface, enabling automated performance analysis and cross-platform reporting without the over…

Google Ads MCP server + Meta Ads MCP (Facebook Ads MCP) + Google Analytics MCP (GA4) + Search Console in one hosted remote MCP for Claude, ChatGPT, Cursor & n8n: OAuth login, no API keys, approval-gated writes, 7-day free trial. By Ryze AI.

6,129 starsMIT (commercial OK)FreeNo code needed

Consolidates fragmented marketing data streams into a single interface, enabling automated performance analysis and cross-platform reporting without the overhead of managing multiple API keys or complex authentication flows.

Data-driven marketing teams and consultants requiring unified access to Google and Meta advertising metrics via LLM-based workflows.

Claude Code Claude Cowork Claude Chat

https://github.com/irinabuht12-oss/google-ads-meta-ads-mcp

By irinabuht12-oss

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
claude mcp add google-ads-meta-ads-mcp -- npx -y google-ads-meta-ads-mcp

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

Once it’s connected, paste this into Claude:

Help me analyze performance data across Google Ads and Meta Ads in one conversation
CostFree

Trust Signals Auto-scanned

Stars6,129Last updated2026-10-27LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-27 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse Quiet

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 6,129 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.85 / 5.00 SolidEvaluatedOct 2026
Scored from trust signals (evidence-eval-v1): 6,129 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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