Summary
Connects Claude directly to your Google Analytics 4 property via OAuth and exposes about 20 diagnostic tools for answering conversion questions in natural language. Ask where your funnel is dropping, whether mobile conversion tanked last week, or how landing pages compare, and it pulls the right GA4 Data API slice, runs the analysis, and returns numbers with a recommendation. Stores hypotheses between sessions so follow-up questions have context. Hosted service at $9.99/month, works through mcp-remote for desktop clients or as a custom connector in Claude.ai and ChatGPT. You're trading setup friction for a conversion analyst that lives inside your editor.
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Tools
Public tool metadata for what this MCP can expose to an agent.
22 tools
cr_get_account_infoConvRadar (GA4 analytics): the connected GA4 property's name, currency, timezone, available data window, AND the property's website origin (scheme://host) derived from page_location data. Always call this at the start of a session. Combine `website_url` with paths returned by...
ConvRadar (GA4 analytics): the connected GA4 property's name, currency, timezone, available data window, AND the property's website origin (scheme://host) derived from page_location data. Always call this at the start of a session. Combine `website_url` with paths returned by...
No parameter schema in public metadata yet.
cr_get_overview_metricsConvRadar (GA4 analytics): headline KPIs for the connected GA4 property — sessions, conversion rate, revenue, AOV — for a date window with deltas vs the prior period of equal length. Use when the user asks about overall performance, "how is the site doing", week-over-week or m...2 params
ConvRadar (GA4 analytics): headline KPIs for the connected GA4 property — sessions, conversion rate, revenue, AOV — for a date window with deltas vs the prior period of equal length. Use when the user asks about overall performance, "how is the site doing", week-over-week or m...
Parameters* required
date_tovalueInclusive end date in ISO YYYY-MM-DD format. Defaults to today.
date_fromvalueInclusive start date in ISO YYYY-MM-DD format. Defaults to 30 days before today. Max window 90 days from date_to.
cr_get_traffic_breakdownConvRadar (GA4 analytics): top traffic sources for the connected GA4 property, broken down by (source, medium) with sessions, users, purchases, revenue, conversion rate. Use when the user asks about traffic sources, channels, where users come from, top-performing campaigns, or...4 params
ConvRadar (GA4 analytics): top traffic sources for the connected GA4 property, broken down by (source, medium) with sessions, users, purchases, revenue, conversion rate. Use when the user asks about traffic sources, channels, where users come from, top-performing campaigns, or...
Parameters* required
top_nintegerHow many rows to return. Default 10, max 25.default: 10
date_tovalueInclusive end date in ISO YYYY-MM-DD format. Defaults to today.
sort_bystringMetric to rank channels by. One of: 'revenue' (default), 'sessions', 'conversions', 'conversion_rate'.default: revenue
date_fromvalueInclusive start date in ISO YYYY-MM-DD format. Defaults to 30 days before today. Max window 90 days from date_to.
cr_get_device_breakdownConvRadar (GA4 analytics): mobile vs desktop vs tablet for the connected GA4 property — session shares, per-device conversion rate, engagement, revenue. Use when the user asks about device performance, mobile vs desktop comparison, why mobile underperforms, or device-level con...2 params
ConvRadar (GA4 analytics): mobile vs desktop vs tablet for the connected GA4 property — session shares, per-device conversion rate, engagement, revenue. Use when the user asks about device performance, mobile vs desktop comparison, why mobile underperforms, or device-level con...
Parameters* required
date_tovalueInclusive end date in ISO YYYY-MM-DD format. Defaults to today.
date_fromvalueInclusive start date in ISO YYYY-MM-DD format. Defaults to 30 days before today. Max window 90 days from date_to.
cr_get_landing_pagesConvRadar (GA4 analytics): top landing pages on the connected GA4 property — sessions, engagement rate, bounce rate, avg session duration, purchases, revenue. Use when the user asks about landing-page performance, which pages drive traffic, high-bounce pages, top-converting pa...4 params
ConvRadar (GA4 analytics): top landing pages on the connected GA4 property — sessions, engagement rate, bounce rate, avg session duration, purchases, revenue. Use when the user asks about landing-page performance, which pages drive traffic, high-bounce pages, top-converting pa...
Parameters* required
top_nintegerHow many rows to return. Default 10, max 25.default: 10
date_tovalueInclusive end date in ISO YYYY-MM-DD format. Defaults to today.
sort_bystringMetric to rank landing pages by. One of: 'sessions' (default), 'revenue', 'conversion_rate', 'bounce_rate'.default: sessions
date_fromvalueInclusive start date in ISO YYYY-MM-DD format. Defaults to 30 days before today. Max window 90 days from date_to.
cr_get_funnelConvRadar (GA4 analytics): step-by-step e-commerce funnel with conversion rate at each step, the biggest leak, and the top N leaks ranked by drop %. Use when the user asks about the conversion funnel, drop-off, where users stop, "why aren't people buying", "top problems in my...4 params
ConvRadar (GA4 analytics): step-by-step e-commerce funnel with conversion rate at each step, the biggest leak, and the top N leaks ranked by drop %. Use when the user asks about the conversion funnel, drop-off, where users stop, "why aren't people buying", "top problems in my...
Parameters* required
stepsvalueCustom event sequence for the funnel. Default: GA4 e-commerce steps (page_view → view_item → add_to_cart → begin_checkout → purchase).
date_tovalueInclusive end date in ISO YYYY-MM-DD format. Defaults to today.
date_fromvalueInclusive start date in ISO YYYY-MM-DD format. Defaults to 30 days before today. Max window 90 days from date_to.
top_leaksintegerHow many biggest step-to-step drop-offs to surface. Default 4.default: 4
cr_get_geo_breakdownConvRadar (GA4 analytics): top countries by sessions or revenue, with conversion rate per country. Use when the user asks about geographic performance, "where are my users from", country-level conversion, international markets. sort_by ∈ {"sessions", "revenue", "purchases"}. R...4 params
ConvRadar (GA4 analytics): top countries by sessions or revenue, with conversion rate per country. Use when the user asks about geographic performance, "where are my users from", country-level conversion, international markets. sort_by ∈ {"sessions", "revenue", "purchases"}. R...
Parameters* required
top_nintegerHow many rows to return. Default 10, max 25.default: 10
date_tovalueInclusive end date in ISO YYYY-MM-DD format. Defaults to today.
sort_bystringMetric to rank countries/regions by. One of: 'sessions' (default), 'revenue', 'conversion_rate'.default: sessions
date_fromvalueInclusive start date in ISO YYYY-MM-DD format. Defaults to 30 days before today. Max window 90 days from date_to.
cr_get_product_performanceConvRadar (GA4 analytics): top products by revenue, views, or purchases — with cart-to-view + purchase-to-view rates per item. Use when the user asks about product/SKU performance, best/worst sellers, which items convert, item-level analysis, e-commerce catalog insights. sort_...5 params
ConvRadar (GA4 analytics): top products by revenue, views, or purchases — with cart-to-view + purchase-to-view rates per item. Use when the user asks about product/SKU performance, best/worst sellers, which items convert, item-level analysis, e-commerce catalog insights. sort_...
Parameters* required
top_nintegerHow many rows to return. Default 10, max 25.default: 10
date_tovalueInclusive end date in ISO YYYY-MM-DD format. Defaults to today.
sort_bystringMetric to rank products by. One of: 'revenue' (default), 'sessions', 'add_to_carts', 'conversion_rate'.default: revenue
categoryvalueRestrict to one product category (item_category from GA4). None = all categories.
date_fromvalueInclusive start date in ISO YYYY-MM-DD format. Defaults to 30 days before today. Max window 90 days from date_to.
cr_compare_segmentsConvRadar (GA4 analytics): compare two segments side-by-side on the same metrics with computed deltas. Use when the user asks "is mobile underperforming desktop", "is paid worse than organic", "how does the US compare to UK", "is new traffic converting like returning". dimensi...5 params
ConvRadar (GA4 analytics): compare two segments side-by-side on the same metrics with computed deltas. Use when the user asks "is mobile underperforming desktop", "is paid worse than organic", "how does the US compare to UK", "is new traffic converting like returning". dimensi...
Parameters* required
date_tovalueInclusive end date in ISO YYYY-MM-DD format. Defaults to today.
value_astringFirst segment value, e.g. 'mobile' or 'Google / cpc'.
value_bstringSecond segment value, e.g. 'desktop' or 'Google / organic'.
date_fromvalueInclusive start date in ISO YYYY-MM-DD format. Defaults to 30 days before today. Max window 90 days from date_to.
dimensionstringWhich GA4 dimension to split on, e.g. 'device_category', 'country', 'session_source_medium', 'session_default_channel_group'.
cr_get_product_analysisConvRadar (GA4 analytics): pre-computed product diagnosis — every SKU classified as underperforming / watchlist / healthy / no_purchases / low_data, with broken-funnel-step (view→cart, cart→checkout, checkout→purchase), weekly revenue opportunity, and anomaly flags (3-week dec...2 params
ConvRadar (GA4 analytics): pre-computed product diagnosis — every SKU classified as underperforming / watchlist / healthy / no_purchases / low_data, with broken-funnel-step (view→cart, cart→checkout, checkout→purchase), weekly revenue opportunity, and anomaly flags (3-week dec...
Parameters* required
top_nintegerHow many rows to return. Default 10, max 25.default: 10
statusvalueOptional filter on product trend status. One of: 'rising', 'declining', 'stable', or None for all.
cr_find_conversion_anomaliesConvRadar (GA4 analytics): finds statistically-significant anomalies (spikes and drops) in your daily metrics over the last N days. Uses a 28-day rolling baseline with weekly seasonality adjustment. Use when the user asks "is anything weird in my data", "find anomalies", "is s...3 params
ConvRadar (GA4 analytics): finds statistically-significant anomalies (spikes and drops) in your daily metrics over the last N days. Uses a 28-day rolling baseline with weekly seasonality adjustment. Use when the user asks "is anything weird in my data", "find anomalies", "is s...
Parameters* required
date_tovalueInclusive end date in ISO YYYY-MM-DD format. Defaults to today.
metricsvalueWhich metric families to scan for anomalies. None = all (sessions, conversions, revenue, AOV, funnel steps).
date_fromvalueInclusive start date in ISO YYYY-MM-DD format. Defaults to 30 days before today. Max window 90 days from date_to.
cr_diagnose_funnel_dropConvRadar (GA4 analytics): given a current vs prior period, find which segments contribute most to a drop (or rise) in conversion_rate / revenue / purchases. Splits across device, source, country, landing_page. Use when the user asks "why did my conversion drop", "where is the...4 params
ConvRadar (GA4 analytics): given a current vs prior period, find which segments contribute most to a drop (or rise) in conversion_rate / revenue / purchases. Splits across device, source, country, landing_page. Use when the user asks "why did my conversion drop", "where is the...
Parameters* required
metricstringWhich headline metric drove the drop being diagnosed. One of: 'conversion_rate' (default), 'revenue', 'sessions', 'aov'.default: conversion_rate
date_tovalueInclusive end date in ISO YYYY-MM-DD format. Defaults to today.
date_fromvalueInclusive start date in ISO YYYY-MM-DD format. Defaults to 30 days before today. Max window 90 days from date_to.
top_n_per_dimensionintegerHow many top-contributing segments to surface per dimension. Default 3.default: 3
cr_compare_to_benchmarkConvRadar (GA4 analytics): compare your headline metrics (conversion rate, AOV, bounce rate, engagement rate) against industry benchmarks for your vertical. Use when the user asks "how do I compare to industry", "are my numbers good", "benchmark my site", "is my conversion rat...3 params
ConvRadar (GA4 analytics): compare your headline metrics (conversion rate, AOV, bounce rate, engagement rate) against industry benchmarks for your vertical. Use when the user asks "how do I compare to industry", "are my numbers good", "benchmark my site", "is my conversion rat...
Parameters* required
date_tovalueInclusive end date in ISO YYYY-MM-DD format. Defaults to today.
verticalvalueIndustry vertical to benchmark against (e.g. 'dtc_apparel', 'beauty', 'electronics', 'saas'). None = auto-detect from the connected property.
date_fromvalueInclusive start date in ISO YYYY-MM-DD format. Defaults to 30 days before today. Max window 90 days from date_to.
cr_detect_traffic_quality_changeConvRadar (GA4 analytics): detect anomalies in traffic mix and per-source sessions over time. Flags large shifts in traffic-source share (e.g., paid traffic dropped from 40% to 15%) or anomalous spikes/drops in any top source's daily sessions. Use when the user asks "did my tr...3 params
ConvRadar (GA4 analytics): detect anomalies in traffic mix and per-source sessions over time. Flags large shifts in traffic-source share (e.g., paid traffic dropped from 40% to 15%) or anomalous spikes/drops in any top source's daily sessions. Use when the user asks "did my tr...
Parameters* required
date_tovalueInclusive end date in ISO YYYY-MM-DD format. Defaults to today.
date_fromvalueInclusive start date in ISO YYYY-MM-DD format. Defaults to 30 days before today. Max window 90 days from date_to.
top_n_sourcesintegerHow many traffic sources to inspect for quality changes. Default 8.default: 8
cr_describe_dataConvRadar (GA4 analytics): describe what data is available for the connected GA4 property — list of fact tables with their queryable dimensions and metrics, distinct event names actually present, and the date window of the data. Use this once at the start of an analysis sessio...
ConvRadar (GA4 analytics): describe what data is available for the connected GA4 property — list of fact tables with their queryable dimensions and metrics, distinct event names actually present, and the date window of the data. Use this once at the start of an analysis sessio...
No parameter schema in public metadata yet.
cr_query_metricsConvRadar (GA4 analytics): flexible aggregation over any ga4_fact_* table — pick metrics + optional dimensions and the tool finds the right fact table, runs the query, and aggregates. Use this for ad-hoc questions like "how many users yesterday", "revenue by day", "purchase ev...7 params
ConvRadar (GA4 analytics): flexible aggregation over any ga4_fact_* table — pick metrics + optional dimensions and the tool finds the right fact table, runs the query, and aggregates. Use this for ad-hoc questions like "how many users yesterday", "revenue by day", "purchase ev...
Parameters* required
top_nintegerMaximum rows to return after grouping. Default 50.default: 25
date_tovalueInclusive end date in ISO YYYY-MM-DD format. Defaults to today.
filtersvalueOptional {dimension: value} pairs to filter rows before aggregation. E.g. {'device_category': 'mobile'}.
metricsarrayMetric names to aggregate, e.g. ['sessions', 'purchase_revenue']. Call cr_describe_data first for the full catalog and which dimensions each metric supports.
sort_byvalueMetric name to sort rows by (descending). None = the first metric in `metrics`.
date_fromvalueInclusive start date in ISO YYYY-MM-DD format. Defaults to 30 days before today. Max window 90 days from date_to.
dimensionsvalueOptional dimensions to group rows by, e.g. ['device_category', 'country']. None = no grouping, returns a single aggregated row.
cr_assess_traffic_qualityConvRadar (GA4 analytics): scores how much of the property's traffic looks like analytics noise (referral spam, internal/test traffic, datacenter sources, low-quality paid) and estimates how that noise distorts headline conversion rate and revenue. Use this BEFORE any CRO / fu...6 params
ConvRadar (GA4 analytics): scores how much of the property's traffic looks like analytics noise (referral spam, internal/test traffic, datacenter sources, low-quality paid) and estimates how that noise distorts headline conversion rate and revenue. Use this BEFORE any CRO / fu...
Parameters* required
top_nintegerHow many traffic sources to inspect. Default 10.default: 10
date_tovalueInclusive end date in ISO YYYY-MM-DD format. Defaults to today.
date_fromvalueInclusive start date in ISO YYYY-MM-DD format. Defaults to 30 days before today. Max window 90 days from date_to.
sensitivitystringHow aggressively to flag quality changes. One of: 'conservative' (default), 'balanced', 'aggressive'.default: conservative
min_sessionsintegerMinimum sessions a source needs in the current window before being scored. Default 50.default: 50
comparison_daysintegerBaseline window in days that the current window is compared against. Default 28.default: 28
cr_list_hypothesesConvRadar (CRO library): browse the hypothesis catalog. Filter by category (e.g. 'pdp_clarity', 'checkout_friction') or vertical (e.g. 'dtc_apparel', 'beauty_ecom'). Returns a paginated list with id, title, category, expected impact range. Use when the user asks "what hypothes...3 params
ConvRadar (CRO library): browse the hypothesis catalog. Filter by category (e.g. 'pdp_clarity', 'checkout_friction') or vertical (e.g. 'dtc_apparel', 'beauty_ecom'). Returns a paginated list with id, title, category, expected impact range. Use when the user asks "what hypothes...
Parameters* required
top_nintegerMaximum hypotheses to return. Default 10.default: 10
categoryvalueCRO category filter, e.g. 'mobile-checkout', 'pricing-display', 'trust-signals'. None = all 21 categories.
verticalvalueIndustry vertical filter (same options as cr_compare_to_benchmark). None = auto-detect from the property.
cr_get_hypothesisConvRadar (CRO library): full content for one hypothesis by id (e.g. 'H-PDP-001'). Returns description, applicable verticals, inspection targets, conclusion rules, expected impact range, A/B test design, remediation hint, capture-set info, and which triggers it's attached to....1 params
ConvRadar (CRO library): full content for one hypothesis by id (e.g. 'H-PDP-001'). Returns description, applicable verticals, inspection targets, conclusion rules, expected impact range, A/B test design, remediation hint, capture-set info, and which triggers it's attached to....
Parameters* required
hypothesis_idstringHypothesis ID returned by cr_list_hypotheses (e.g. 'mobile-paypal-button-v3').
cr_capture_via_web_fetchConvRadar (verification): fetch a URL server-side and return its HTML body so Claude can extract observables. Cached by (capture_set_id, url) for 7 days; UTM params are stripped before caching. capture_set_id: one of the 7 seeded capture sets (e.g. 'CS-pdp-desktop'). url: the...2 params
ConvRadar (verification): fetch a URL server-side and return its HTML body so Claude can extract observables. Cached by (capture_set_id, url) for 7 days; UTM params are stripped before caching. capture_set_id: one of the 7 seeded capture sets (e.g. 'CS-pdp-desktop'). url: the...
Parameters* required
urlstringAbsolute URL (scheme://host/path) to fetch and snapshot for hypothesis verification.
capture_set_idstringUnique ID grouping multiple URL captures into one verification batch. Reuse the same id across related URL fetches; new id starts a new batch.
cr_get_current_stateConvRadar (cross-session continuity): per-tenant snapshot of what's already in flight — last 30-day overview metrics, up to 10 active hypotheses (status surfaced/testing/confirmed sorted by marked_at DESC), last 5 logged changes, and ≤3 most recent open findings. Call this at...
ConvRadar (cross-session continuity): per-tenant snapshot of what's already in flight — last 30-day overview metrics, up to 10 active hypotheses (status surfaced/testing/confirmed sorted by marked_at DESC), last 5 logged changes, and ≤3 most recent open findings. Call this at...
No parameter schema in public metadata yet.
cr_full_auditConvRadar (golden first-run audit): runs a complete diagnostic in one call — headline KPIs vs prior period, biggest funnel leak, top 3 traffic sources, top 3 landing pages, anomalies, segment drops, and benchmark comparison. Returns 2–5 ranked actionable findings with next-ste...2 params
ConvRadar (golden first-run audit): runs a complete diagnostic in one call — headline KPIs vs prior period, biggest funnel leak, top 3 traffic sources, top 3 landing pages, anomalies, segment drops, and benchmark comparison. Returns 2–5 ranked actionable findings with next-ste...
Parameters* required
date_tovalueInclusive end date in ISO YYYY-MM-DD format. Defaults to today.
date_fromvalueInclusive start date in ISO YYYY-MM-DD format. Defaults to 30 days before today. Max window 90 days from date_to.
ConvRadar — Conversion Analyst inside Claude
Hosted MCP server that turns your Google Analytics 4 property into a conversation. Ask "where's my biggest funnel drop?" or "did mobile conversion drop last week?" in Claude, ChatGPT, Cursor or Cline — ConvRadar pulls the right slice, runs the diagnostic, and answers with numbers and a recommended action.
- 🌐 Website: https://convradar.com
- 💬 Try without signup (3 free messages): https://convradar.com/chat
- 🔌 MCP endpoint:
https://mcp.convradar.com/mcp - 📧 Contact: https://convradar.com
This repository is the public manifest for the hosted ConvRadar MCP server. The server itself is a managed service — there is no self-hosted binary. Use the configuration below to connect any MCP-compatible client to it.
Screenshots
Live output from the connector — funnel audit on the demo tenant in Claude.ai,
traffic-quality verdict in ChatGPT. Full set with paired prompts in media/.
What ConvRadar does
ConvRadar is a hosted Model Context Protocol (MCP) server. It connects to your Google Analytics 4 property over OAuth (read-only) and exposes ~20 conversion-diagnostic tools to any MCP client.
- Runs a full audit on demand — funnel drops, traffic-quality regressions, device gaps, landing-page leaks, product/category performance.
- Compares segments, periods and benchmarks. Answers in plain English with GA4 numbers attached.
- Records hypotheses so the next conversation picks up where the last one ended.
Works with any GA4 property
ConvRadar isn't e-commerce-only. On connect it detects what kind of property you have and adapts the metrics, funnel and benchmarks to match — so the numbers make sense whether or not you sell anything on-site.
- E-commerce — product and category performance, the add-to-cart → checkout → purchase funnel, revenue and AOV.
- SaaS — sign-ups, trials and activation as the conversion funnel; engagement where there's no cart.
- Lead generation — form submits, demo requests, contact and quote events mapped into a real lead funnel.
- Mobile & web apps — app engagement, key-event completion and retention-shaped questions.
- Content, media and everything else — engagement, read depth and whatever key events you've defined.
If a property has no e-commerce tracking, ConvRadar won't hand you a misleading 0% conversion rate or $0 revenue. It leads with engagement and the key events you actually fire, and tells you when a metric isn't available instead of reporting a zero as fact.
Try without installing
Open the demo at https://convradar.com/chat — 3 free messages, no signup. The demo runs against a real GA4 property so the answers reflect real data.
Connect your client
ConvRadar is a remote OAuth-protected MCP. Any stdio-only client (Claude Desktop, Cursor, Cline, Continue) can connect via mcp-remote, which handles the OAuth handshake on first run.
Claude Desktop / Cursor / Cline
Add this to your client's MCP config (claude_desktop_config.json, ~/.cursor/mcp.json, etc.):
{
"mcpServers": {
"convradar": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.convradar.com/mcp"]
}
}
}
Restart the client. On first tool call, a browser window opens for OAuth — sign in with the same Google account that owns your GA4 property.
Claude.ai (web)
Add a Custom Connector in Settings → Connectors:
- URL:
https://mcp.convradar.com/mcp - Auth: OAuth 2.1 (handled automatically)
ChatGPT (Plus / Pro)
Add a Custom MCP Connector in Settings → Connectors with URL https://mcp.convradar.com/mcp.
Tools
ConvRadar exposes the following tools. The MCP client picks the right one for each question; you don't usually call them by name.
| Tool | What it does |
|---|---|
cr_full_audit | Run a complete conversion audit across funnel, traffic, devices, geos and products. |
cr_get_account_info | GA4 property metadata for the connected account. |
cr_get_overview_metrics | Headline metrics (sessions, users, conversions, revenue) for a period. |
cr_get_current_state | Snapshot of the account's current conversion state. |
cr_get_funnel | The configured funnel with step-by-step drop-off. |
cr_diagnose_funnel_drop | Identify the biggest funnel-step regression and likely cause. |
cr_get_traffic_breakdown | Split traffic by source, medium and campaign. |
cr_assess_traffic_quality | Score traffic sources by engagement and conversion quality. |
cr_detect_traffic_quality_change | Step-changes in traffic quality over a window. |
cr_get_device_breakdown | Sessions and conversions by device category. |
cr_get_geo_breakdown | Sessions and conversions by country and region. |
cr_get_landing_pages | Top landing pages with engagement and conversion. |
cr_get_product_analysis | Product-level revenue and funnel drop-off. |
cr_get_product_performance | Per-product views / add-to-cart / purchases. |
cr_query_metrics | Ad-hoc metric and dimension query against GA4. |
cr_describe_data | Plain-English summary of a dataset slice. |
cr_compare_segments | Compare two GA4 segments side by side. |
cr_compare_to_benchmark | Compare a metric to industry or cohort benchmark. |
cr_find_conversion_anomalies | Statistically significant conversion anomalies. |
cr_capture_via_web_fetch | Capture supporting evidence from a public URL. |
cr_list_hypotheses | List stored hypotheses for the account. |
cr_get_hypothesis | Read a stored hypothesis by ID. |
First prompts to try
After connecting, try:
- Run a full audit of my account.
- Where's my biggest funnel drop?
- Did mobile conversion drop last week?
- Compare desktop and mobile checkout conversion for the last 30 days.
- What should I A/B test next?
Auth
- Protocol: OAuth 2.1, Bearer token in
Authorizationheader. - Scopes:
read:metrics,write:hypotheses. - Discovery (RFC 9728):
GET https://mcp.convradar.com/.well-known/oauth-protected-resource. - No per-user URLs —
mcp-remote(or the client's built-in OAuth flow) handles the login on first run.
The OAuth flow only requests read-only GA4 access — ConvRadar can never modify your analytics data.
Pricing
Free right now — ConvRadar is in open beta. No card, no trial countdown, no usage caps. Connect GA4 and use every tool.
When the beta ends it becomes $9.99 / month flat (7-day free trial, cancel anytime, no usage caps). Beta users get advance notice before that kicks in.
Stack
GA4 Data API (read-only) · Claude/ChatGPT MCP · Stripe billing · OAuth 2.1.
Status
- MCP endpoint: production at
https://mcp.convradar.com/mcp - Source: closed. This repository contains the public manifest, install instructions and tool catalogue only.
Support
Visit https://convradar.com to get in touch.
License
The contents of this repository (README, manifest, configuration snippets) are released under the MIT License. The hosted ConvRadar service itself is proprietary.
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