toolfare

Ask your AI where last week’s conversions came from.

Users, sessions, key events and revenue for any period, traffic sources down to the campaign, the pages people actually view, event funnels, and any custom GA4 report — answered inside ChatGPT, Claude, Codex or Cursor. Connect your GA4 property to toolfare once; your AI reads it with your own login, and every read costs 0 credits.

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Set it up in

Claude CodeCodexCursorVS CodeChatGPTClaude (web & desktop)Your own agent
toolfare

Sign in, connect the account once, paste the setup prompt to your agent, ask something. That’s the whole setup.

Your accounts, one connection

ads, analytics, commerce and revenue

Google Analytics 4

Traffic, conversions and top pages, by any period

Meta Ads

CPA and delivery on Facebook and Instagram

Google Ads

Campaigns, keywords and search terms

200+

APIs

40+

apps

30+

skills

Ask once and your AI reads the accounts you connected — no paid data call involved.

Your own account0 credits per readRead-only
The ask
New chattoolfare · connected

My CPA doubled last week. Find what changed and show me the evidence.

ads_get_insightsMeta Ads · your account0 creditsSpend +4%, results −48% from Aug 19 onward
ads_list_adsMeta Ads · your account0 credits3 creatives launched Aug 19, now 71% of delivery
ga4_run_reportGoogle Analytics 4 · your account0 creditsLanding-page conversion 2.8% → 1.4% on the same traffic
foreplay_requestCompetitor ad library · toolfare-suppliedcharged $0.122 rivals launched 14 new creatives in the same window
Not creative fatigue — delivery. The three ads launched Aug 19 took 71% of spend and convert at half the rate of the set they displaced, while two competitors crowded the same auction. Pause the new set and your CPA returns to roughly $34.

Where this came from

Your connected accounts0 credits

  • Meta Adsfree
  • Google Analytics 4free

Built-in — toolfare buys itquoted first

  • Competitor ad library$0.12
4 calls$0.12

Illustrative figures. Every source, mark and price rule comes from the live toolfare catalogue.

About five minutes

Set it up once, in the app you already use.

Sign in to Google Analytics 4 once from toolfare to connect it. After that, every AI app you approve reads it through the same connection, with nothing to install for Google Analytics 4 itself.

Claude Code

Use the MCP connection in your AI app, or run the toolfare CLI in its terminal. Both use browser approval, discover capabilities and quote paid calls before they run.

  1. 1

    Create your toolfare workspace

    The connection is public and identical for everyone — your toolfare sign-in is what points it at your data. Connect one account in that workspace too: that is what your AI reads. The first time your AI uses the connection, toolfare asks you to approve the access and names the workspace it will read through. No workspace yet? toolfare has you create one right there, then brings you back to approve.

    Create your workspace

    Already have one? Nothing to do here — sign in when the connection asks for it.

  2. 2

    Copy the toolfare MCP connection

    https://api.toolfare.ai/mcp
  3. 3

    Add it to Claude Code

    claude mcp add --transport http toolfare https://api.toolfare.ai/mcp
    1. Run the command in any project. It writes the configuration and prints an `Added …` line.
    2. Authorize separately — adding a server does not open a browser.
    3. Run `claude mcp list` to confirm the server reads `✔ Connected`.
  4. 4

    Approve the access, then ask it something

    1. Inside Claude Code, run `/mcp` and follow the browser flow — or, from your shell, `claude mcp login toolfare`.
    2. The toolfare consent page names the host, the workspace the grant will read through, and what the connection will be able to do.
    3. Approving creates the grant listed above on this page. Cancelling creates nothing.
    4. On a machine with no browser (SSH, headless Linux), `claude mcp login toolfare --no-browser` prints the URL and takes the pasted callback.

    Paste this first

    Using toolfare, search for what capabilities I can reach.

    A list of capabilities with names, what each reads and what each costs. An empty list means the search matched nothing — try broader words. An error naming authorization means the host never completed the browser step.

Checked 2026-08-25 against Claude Code documentation. Menu names change between releases — look for connectors, apps, tools or integrations.

Open the console to connect your accounts
11 things you can ask it

Ask in plain English. These are the tools behind the answer.

Each one is a tool your AI is offered by name once you connect. You never have to type the name — it is here so you can tell what actually ran.

  • The headline numbers for any period

    ga4_get_property_overview

    Total, new and active users, sessions, page views, key events and revenue for a property over a date range — the snapshot answer, in one call.

    • “How many users and conversions did we get last month?”
    • “Compare this week’s sessions and revenue with last week’s.”

  • Where the traffic came from, down to the campaign

    ga4_list_traffic_sources

    Users, sessions, page views and revenue by source, medium and campaign name — organic against paid, channel against channel.

    • “Which campaigns drove the most sessions last week?”
    • “How much of our revenue came from organic search this month?”

  • Key events, and the sources that drove them

    ga4_get_conversion_overview

    Total key events and revenue for a period, together with the traffic sources that converted best.

    • “How many conversions did we get last month, and from where?”
    • “Which source drives the most key events?”

  • The pages people actually view

    ga4_top_pages

    Pages ranked by views over a date range, by page path — what gets read, as opposed to where sessions start.

    • “What were our most-viewed pages last week?”
    • “Which blog posts got the most views this month?”

  • Event counts for a funnel, with unique users

    ga4_list_events

    Any GA4 event — not only conversions — with its count, value and deduplicated users, which is what a step-by-step funnel is built from.

    • “How many people added to cart versus purchased last week?”
    • “Show me the funnel from session start to sign-up.”

  • Any report GA4 can run, live

    ga4_run_report

    A live Data API report with the dimensions, metrics, filters and date ranges you name, including your property’s custom definitions.

    • “Break down conversions by device and country for last month.”
    • “Show revenue by landing page and session source for the last 30 days.”

And 5 more, same connection

Named rather than worked through — your AI discovers all of them through the connection itself, so you never have to pick one.

  • Traffic day by day for a date rangega4_daily_trend
  • Streams, key events and Google Ads linksga4_get_configuration
  • Every dimension and metric a property can report onga4_get_metadata
  • The GA4 properties this workspace can readga4_list_properties
  • Whether an event fired in the last 30 minutesga4_verify_realtime_event
Pricing

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