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Flowsery

flowsery.com official website

Flowsery is AI session replay that finds bugs on autopilot, with a full web analytics layer underneath - and this MCP server puts both in front of your agent.…

infrastructure
Agentery price verdictNo pricing observed
Billing model
Last checkedpricing & liveness

What it does

The specific capability behind this listing, and where to get it.

Flowsery is AI session replay that finds bugs on autopilot, with a full web analytics layer underneath - and this MCP server puts both in front of your agent. - Real-time visitors, site overview, time series, and breakdowns by page, referrer, country, device, UTM, channel, and more - Revenue attribution: payments from Stripe, Paddle, Polar, and Shopify tied back to the session that converted - Funnels, goals, custom events, and full visitor profiles with activity timelines - Issues found by the AI session review, with severity and affected sessions, queryable from Claude Code, Cursor, or ChatGPT

MCPStripeShopifyMCPautonomy: infrastructure

Official Flowsery links

Price status · observed daily

No public commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

Is Flowsery good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

No price benchmark

No public commercial pricing observed.

Agentery has not observed a public price for this provider. No price does not mean free.

Observed commercial pricenone
Niche
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

Flowsery's local market

Nearest products by what they do.

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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "flowsery",
  "name": "Flowsery",
  "url": "https://flowsery.com",
  "logo": "https://agentery.com/logos/CP-6A7MMQ.svg",
  "niche": null,
  "category": null,
  "short_summary": "Flowsery is AI session replay that finds bugs on autopilot, with a full web analytics layer underneath - and this MCP server puts both in front of your agent.…",
  "task_performed": "Flowsery is AI session replay that finds bugs on autopilot, with a full web analytics layer underneath - and this MCP server puts both in front of your agent.\n\n- Real-time visitors, site overview, time series, and breakdowns by page, referrer, country, device, UTM, channel, and more\n- Revenue attribution: payments from Stripe, Paddle, Polar, and Shopify tied back to the session that converted\n- Funnels, goals, custom events, and full visitor profiles with activity timelines\n- Issues found by the AI session review, with severity and affected sessions, queryable from Claude Code, Cursor, or ChatGPT",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [
    "MCP",
    "Stripe",
    "Shopify"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": null,
  "trust_or_rating_signal": [],
  "evidence_quality": "medium",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://flowsery.com"
  ],
  "last_checked": "2026-08-30",
  "how_to_connect": {
    "website": "https://flowsery.com",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "liveness": {
    "probed": false,
    "alive": null,
    "endpoint_kind": null,
    "latency_ms": null,
    "uptime_7d": null,
    "checked_at": null,
    "consecutive_failures": 0,
    "status": "unknown"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}