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Google Ads MCP Server vs Staats: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Google Ads MCP Server and Staats — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Google Ads MCP Server logo

Google Ads MCP Server

HireOtto

Freemium

Hosted and open-source Model Context Protocol server to manage Google Ads from MCP clients (e.g., Claude) without Google Cloud or terminal setup.

Key features

  • Hosted Remote MCP Server: A hosted endpoint that lets MCP clients (for example Claude Desktop) call Google Ads management tools without requiring Google Cloud setup, terminal use, or manual JSON edits.
  • Self-Hosted Node.js/TypeScript Implementation: Open-source repositories provide Node.js and TypeScript servers you can run locally or in containers with simple .env-based configuration for Google Ads API credentials.
  • Campaign Management Tools: Programmatic creation, retrieval, update, and budget adjustments for campaigns and ad groups, including parameters like campaign_id and budget_euros for direct modification.
  • Unified MCP Tooling Endpoint: All tools are exposed via a consistent POST /api/mcp interface and support MCP streamable HTTP JSON-RPC (initialize, tools/list, tools/call) for agent interoperability.
  • Analytics & Reporting: Export campaign and performance reports to CSV or JSON, request date-range filtered metrics, and retrieve conversion and cost statistics for optimization and reporting.
  • Rate-Limit Handling & Retries: Built-in handling of Google Ads API rate limits with automatic retries to reduce manual error-handling and throttle issues.
  • OAuth2 & Simple Configuration: Supports standard Google Ads OAuth2 credentials (client id/secret, refresh token, developer token) with inline JSON in .env for straightforward setup.
  • Extensible Tools & Workflows: Modular tool implementations (accounts, campaigns, ads, keywords, conversions, performance, shopping) allowing customization and addition of new MCP tools.
  • MCP-compatible toolset exposing Google Ads operations (campaigns, ad groups, ads, keywords, conversions, performance, analytics, shopping).
  • POST /api/mcp endpoint with ToolResponse shape ({ok:true,data} | {ok:false,error}) and support for MCP Streamable HTTP JSON-RPC (initialize, tools/list, tools/call).
  • Campaign management operations (create/update budgets, retrieve campaign stats).
  • Analytics & reporting with export options to CSV or JSON (export_report with parameters: format, days).
  • Autocomplete/keyword-sourcing tools (Google Autocomplete, Trends, keyword clustering in some forks).
  • Configuration via .env (inline JSON or environment variables) and example .env templates included.
  • OAuth2 support: instructions and scripts to obtain refresh tokens; requires Google Ads developer token, client ID/secret, refresh token, optional login-customer-id.
  • Automatic handling of Google Ads API rate limits and retry logic.
  • Multiple installation options: npm/pnpm (local/global), npx (no install), Docker images available on GHCR.
  • Claude Desktop integration helpers and example claude_desktop_config.json for adding to MCP clients.

Best for

  • Agent-driven Campaign Launches: Use an MCP-capable agent (like Claude) to create and configure Google Ads campaigns via natural-language prompts without touching Google Cloud or API JSON.
  • Daily Campaign Monitoring and Alerts: Query campaign performance and get daily summaries or alerts from the MCP server for rapid status checks and anomaly detection.
  • Automated Budget Optimization: Programmatically adjust daily budgets and bids across accounts using scheduled agent workflows or triggered rules exposed through MCP tools.
  • Exporting Stakeholder Reports: Generate CSV or JSON exports of campaign, conversion, and cost metrics for sharing with teams or importing into BI tools.
  • Keyword & Trend Research Integration: Combine Google Autocomplete, Trends, and Search Console-derived keyword data (available in some implementations) to inform campaign targeting from the same MCP endpoint.
  • Local Development and Custom Extensions: Developers can run the open-source server locally, add custom tools (e.g., custom analytics or bidding strategies), and integrate with CI/CD or containerized deployments.
  • Integrating Ads Management into ChatOps: Embed Google Ads operations into chat-based workflows or agent orchestrations so non-technical marketers can request changes conversationally.
  • Manage Google Ads campaigns programmatically from an MCP-enabled chat assistant or desktop client (e.g., create/update campaigns, budgets).
  • Run daily campaign monitoring and automated campaign optimization workflows via LLM agents.
  • Export campaign reports for analysis (CSV/JSON) and feed results back into an agent for decision-making.
  • Perform keyword research and clustering by combining Google Autocomplete/Trends data with Search Console (in supported forks).
  • Integrate Google Ads controls into internal tooling without exposing direct Google Cloud or manual JSON configuration to non-technical users.
View Google Ads MCP Server details
Staats logo

Staats

Staats

Freemium

Agent-native, cookieless website analytics delivered through MCP, so your coding agent measures deploys and reports results in chat.

Key features

  • Native MCP Support: Built on the open Model Context Protocol so Claude Code, Cursor, Windsurf and Codex can query and configure analytics out of the box.
  • Autonomous Instrumentation: The agent adds tracking while writing features, needing only one HTML data attribute per button click and no extra JavaScript.
  • Ship & Measure: Every deploy is tagged automatically, then before-and-after metrics are compared so you can tell whether a change moved the needle.
  • Zero-Cookie Tracker: A ~1.5KB script with no cookies and no IP logging, so no cookie banner is required and tracking works the moment it is dropped in.
  • Drop-Off Funnels: Maps visitor journeys from landing page to checkout, pinpoints where users leak out, and suggests which step to fix next.
  • Anomaly Alerts: Traffic surges, viral social spikes and referrer anomalies are traced to their source and surfaced with context rather than raw numbers.
  • In-Chat Intelligence: Ask about visitors, top referrers and conversions inside your editor chat instead of opening a separate analytics tab.
  • Portfolio Overview: One account key covers every side project, letting you compare sites side by side or spin up tracking for a new app from chat.

Best for

  • Deploy Verification: Tag a release and have the agent compare traffic and conversion metrics before and after to confirm the change helped.
  • Launch Monitoring: Ask the agent how a Product Hunt or Hacker News launch is performing and get referrer-level attribution without opening a dashboard.
  • Funnel Debugging: Map a signup or checkout flow, find the step where visitors drop off, and get a concrete suggestion for what to fix.
  • Privacy-First Analytics: Replace cookie-based analytics on an EU-facing site with a cookieless tracker that avoids consent banners entirely.
  • Indie Portfolio Management: Track a dozen side projects under a single key and compare their traffic side by side from one chat session.
  • Agent-Driven Instrumentation: Let a coding agent add click tracking to new features as it writes them, so instrumentation never lags behind the code.
View Staats details