Yes. The MCP is open-source (Apache-2.0) and the GA4 Data API has a generous free quota for standard properties. You only need a Google Cloud project to hold the credentials — there is no per-call charge for typical reporting volumes.

How does authentication work?

Google Application Default Credentials scoped to https://www.googleapis.com/auth/analytics.readonly. Either run gcloud auth application-default login, or point GOOGLE_APPLICATION_CREDENTIALS at a service-account key with that scope granted on the GA4 property. Service-account impersonation is also supported.

Can the agent change my GA4 settings?

No. The credentials carry the analytics.readonly scope, so every tool is a read. The agent can build and run reports but cannot create properties, edit data streams, or change configuration.

Does it support Universal Analytics?

No. Universal Analytics was sunset and this MCP targets GA4 only via the Analytics Data API. There is no path to query historical UA views through it.

Google Analytics

Name: Top MCPs — curated MCP directory
Creator: Top MCPs
License: https://creativecommons.org/licenses/by/4.0/

Official

Query GA4 reports, funnels, and realtime data from an AI agent.

Score 86(?)Google AnalyticsApache-2.0 2.4kVerified Jun 15, 2026Top MCPs for Marketing & SEO →

Install View on GitHub

Quick answer

What it does

Connects to GA4 via the Analytics Data API and Admin API and exposes account/property summaries, run_report, run_funnel_report, run_realtime_report, and custom dimension/metric metadata as MCP tools. Read-only.

Best for

Ad-hoc GA4 reporting
Funnel and conversion analysis
Realtime traffic checks
Channel and campaign attribution queries

Not for

Universal Analytics data
Writing GA4 configuration

Setup recipe

Pick your client, then follow the three steps.

Install

claude_desktop_config.jsonjson

{
  "mcpServers": {
    "google-analytics": {
      "command": "pipx",
      "args": [
        "run",
        "analytics-mcp"
      ],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "${GOOGLE_APPLICATION_CREDENTIALS}"
      }
    }
  }
}

Paste under mcpServers. Fully quit and reopen Claude after editing.

CLI or .mcp.jsonshell

# export GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account-key.json (or gcloud ADC)
claude mcp add google-analytics -- pipx run analytics-mcp

Run from your repo. Commit .mcp.json to share with your team.

.cursor/mcp.jsonjson

{
  "mcpServers": {
    "google-analytics": {
      "command": "pipx",
      "args": [
        "run",
        "analytics-mcp"
      ],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "${GOOGLE_APPLICATION_CREDENTIALS}"
      }
    }
  }
}

Global path: ~/.cursor/mcp.json. Reload window after editing.

.vscode/mcp.jsonjsonc

{
  "servers": {
    "google-analytics": {
      "command": "pipx",
      "args": [
        "run",
        "analytics-mcp"
      ],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "${GOOGLE_APPLICATION_CREDENTIALS}"
      }
    }
  }
}

VS Code uses the "servers" key (not "mcpServers").

~/.codeium/windsurf/mcp_config.jsonjson

{
  "mcpServers": {
    "google-analytics": {
      "command": "pipx",
      "args": [
        "run",
        "analytics-mcp"
      ],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "${GOOGLE_APPLICATION_CREDENTIALS}"
      }
    }
  }
}

Open via Cascade → hammer icon → Configure.

cline_mcp_settings.jsonjson

{
  "mcpServers": {
    "google-analytics": {
      "command": "pipx",
      "args": [
        "run",
        "analytics-mcp"
      ],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "${GOOGLE_APPLICATION_CREDENTIALS}"
      }
    }
  }
}

Open via the Cline sidebar → MCP Servers → Edit.

~/.continue/config.jsonjson

{
  "experimental": {
    "modelContextProtocolServers": [
      {
        "transport": {
          "type": "stdio",
          "command": "pipx",
          "args": [
            "run",
            "analytics-mcp"
          ],
          "env": {
            "GOOGLE_APPLICATION_CREDENTIALS": "${GOOGLE_APPLICATION_CREDENTIALS}"
          }
        }
      }
    ]
  }
}

Continue uses modelContextProtocolServers with a transport block.

~/.codex/config.tomlshell

# ~/.codex/config.toml
[mcp_servers.google-analytics]
command = "pipx"
args = [
  "run",
  "analytics-mcp",
]
env = { GOOGLE_APPLICATION_CREDENTIALS = "${GOOGLE_APPLICATION_CREDENTIALS}" }

Codex uses TOML. Each server is a [mcp_servers.<name>] subtable.

~/.config/zed/settings.jsonjsonc

{
  "context_servers": {
    "google-analytics": {
      "command": {
        "path": "pipx",
        "args": [
          "run",
          "analytics-mcp"
        ]
      },
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "${GOOGLE_APPLICATION_CREDENTIALS}"
      }
    }
  }
}

Zed calls them "context_servers". Settings live-reload on save.

ChatGPT → Apps directorynone

Google Analytics doesn't ship a hosted HTTPS endpoint today. ChatGPT supports remote MCP servers only — to use this server in ChatGPT you'll need to deploy it to a public HTTPS URL first (e.g. via Cloudflare Workers or Vercel) or wait for an official remote build.

2
Set required secrets
Set GOOGLE_APPLICATION_CREDENTIALS in your shell environment before launching your MCP client.
3
Try a minimum working prompt
Minimum working prompt pending verification. Try any prompt from the MCP’s README once installed.

Tools & permissions

Tool	Description	Args	Side effects
`get_account_summaries`	List the GA4 accounts and properties the credential can access.	—	Read
`get_property_details`	Return metadata for a GA4 property.	property: string	Read
`run_report`	Run an ad-hoc GA4 report with dimensions and metrics.	—	Read
`run_funnel_report`	Run a funnel report across ordered steps.	—	Read
`run_realtime_report`	Return realtime active-user metrics.	—	Read
`get_custom_dimensions_and_metrics`	Enumerate custom dimensions and metrics defined on a property.	property: string	Read

Security & scope

Access scope: Read-only
Sandbox: Authenticates via Google ADC with the analytics.readonly scope. Every exposed tool is a report read against the GA4 Data or Admin API — no tool can mutate the property. Grant the service account read access only on the specific GA4 properties the agent should see.
Gotchas: Service-account keys in env persist in client config files. Prefer gcloud ADC + short-lived login over a long-lived key file.
Grant the credential on only the GA4 properties the agent needs — a single key with org-wide access over-exposes data.
Realtime and large date-range reports consume Data API tokens; very high-frequency agent loops can hit the quota.

Agent prompt pack

— copy into Claude, Cursor, or ChatGPT.

Paste into Claude, Cursor, or ChatGPT. Edit the [brackets] before sending.

Recommend the best MCP servers for [task: e.g. marketing & seo work] in [client: Claude].

Constraints:
- Prefer tools that are [official | open-source | read-only] — pick what matters for my use case.
- Exclude MCPs that require [e.g. a paid plan, OAuth-only flows, remote-only transport].
- Return at most 3 picks, ranked.

For each pick include:
1. One-sentence rationale.
2. The ready-to-paste install snippet for my client.
3. Any required secrets I need to create before installing.

Cross-check the top-mcps.com listing: https://top-mcps.com/top-mcps-for-marketing-seo

Compare Google Analytics against a real alternative. Swap the second MCP in [brackets] if you want a different match.

Compare Google Analytics MCP vs [Google Search Console MCP] for the following job: [describe the job, e.g. "let an agent create GitHub issues on bug triage"].

Judge them on:
- Setup time and complexity (what a new user hits first).
- Auth model (none / API key / OAuth 2.1) and credential risk.
- Transport (stdio / Streamable HTTP / SSE) and where the server runs.
- Required secrets and the blast radius if they leak.
- Operational risk in an unattended agent loop.
- Which one is "good enough" for a weekend prototype vs. production.

End with one sentence: which should I pick for my scenario, which is: [my scenario].

References:
- https://top-mcps.com/mcp/google-analytics
- top-mcps.com listing for Google Search Console

Asks the agent to install and verify. Works inside Claude Code, Cursor Agent, Codex CLI.

Install the Google Analytics MCP server for my [client: Claude] at the default config path for that client.

Use the exact install snippet published at https://top-mcps.com/mcp/google-analytics (fetch https://top-mcps.com/mcp/google-analytics.json for the canonical server.json if you can read URLs).

Before finishing:
1. Create the required secrets (GOOGLE_APPLICATION_CREDENTIALS) and put them in the appropriate env block — do not hard-code them.
2. Restart or reload the client so it picks up the new server.
3. Verify the server is connected (green / running state) and at least one tool is listed.
4. If anything fails, read the client's MCP logs and report the exact error — do not silently retry.

Confirm when done and list the tools the server now exposes.

Frequently asked questions

What changed

— 2 updates tracked.

Jun 15, 2026
Refreshed install snippets and fact sheet; verified for 2026.
Jul 1, 2025
Initial directory listing.

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Compared with Google Analytics

Side-by-side breakdowns for the choices people most often weigh against this MCP.

Google AnalyticsvsGoogle Search Console Google AnalyticsvsDataForSEO Google AnalyticsvsAhrefs

Exploring Top MCPs for Marketing & SEO? See all Marketing & SEO MCPs →

Quick answer

What it does

Best for

Not for

Setup recipe

Install

Set required secrets

Try a minimum working prompt

Tools & permissions

Security & scope

Agent prompt pack

Full details

Frequently asked questions

Is it free?

How does authentication work?

Can the agent change my GA4 settings?

Does it support Universal Analytics?

What changed

More Marketing & SEO MCPs

DataForSEO

Google Search Console

Ahrefs

Compared with Google Analytics