Flowpoint
On-premise agentic website analytics — your AI agent builds dashboards in plain English, with an MCP server included
Pricing
Paid
Platforms
Web, Self-hosted, MCP
Developer
Flowpoint Analytics Ltd.
Rating
4.4 / 5.0
Last Updated
September 8, 2026
Overview
Flowpoint takes a different position in the analytics market: instead of another SaaS dashboard you send data to, it is licensed software that runs entirely inside your own environment.
You deploy it on your servers or cloud, add a single tracking line to your site, and from that point every click, session, event, and conversion is collected, stored, and processed on your infrastructure.
The product description is blunt about the trade-off and the promise: your data never leaves your walls, and GDPR, UK DPA 2018, and internal data-residency policies are satisfied by architecture rather than by contract. The agentic layer is what makes Flowpoint more than a self-hosted Plausible.
Instead of learning SQL or fighting a BI tool, you describe the view you want — traffic overview for the last seven days, conversion funnel from homepage to signup, top sources by country, UTM campaign report — and the built-in AI agent generates an interactive, real-time dashboard in seconds.
You refine by chatting back and forth, and the agent builds charts, tables, and funnels against your own data without ever receiving the raw analytics, because inference is pointed at a model of your choice: a local model inside your network or a cloud model like Claude. Flowpoint also ships a built-in MCP server, so any MCP-compatible client the team already uses — Claude, Cursor, or a custom agent — can query traffic, events, funnels, and dashboards as tools.
For marketing teams this closes an interesting loop: the same AI assistants marketers use for content and research can now pull live first-party analytics without a third-party analytics cloud in the path.
Pricing is license-based rather than subscription-based: you request a license, get an intro call, and receive a build scoped to your deployment and model choice.
Flowpoint suits privacy-sensitive, regulated, or simply data-sovereign marketing teams; teams that want a zero-maintenance SaaS analytics tool with instant dashboards will find the on-prem requirement heavier than they need.
Use Cases
Answering live traffic and conversion questions in plain English without SQL
Building UTM campaign reports and conversion funnels inside a private environment
Giving Claude or Cursor MCP access to first-party analytics for agentic reporting
Meeting GDPR and internal data-residency requirements while keeping modern analytics
Replacing cookie-consent-heavy SaaS analytics for privacy-sensitive marketing sites
Who Is This For
Marketing teams in regulated industries that cannot send analytics data to third-party clouds
Privacy-first companies that already self-host their stack and want the same for analytics
Growth teams that want agentic reporting without hiring a data analyst
Product and marketing leaders evaluating MCP-native analytics for AI workflows
CRO specialists who need real-time funnels, UTM analysis, and PDF-ready stakeholder reports
Key Features
Agent-Built Dashboards
Ask in plain English for a dashboard, funnel, or report and the AI agent builds interactive, real-time views in seconds — no SQL, no BI tooling, iterate by chatting.
On-Prem by Design
Analytics are collected, stored, and processed inside your own infrastructure — nothing is ever sent to Flowpoint or any external service, so GDPR and residency rules hold by architecture.
Built-in MCP Server
Expose traffic, events, funnels, and dashboards as MCP tools so Claude, Cursor, or any MCP-compatible client can query your analytics where the data lives.
Your Model, Local or Cloud
Point the agent at a local model inside your network or a cloud model such as Claude — you decide where inference runs, and the agent never sees raw analytics data.
Real-Time Data & Funnels
Live visitor, session, and conversion tracking with custom filters by device, browser, country, and UTM source, plus conversion funnels and PDF export for stakeholders.
Pros & Cons
Pros
- Privacy by architecture: first-party analytics that physically never leave your environment
- Agentic reporting removes the SQL and BI bottleneck — dashboards are described, not built
- MCP server makes analytics reachable from Claude, Cursor, and custom agents the team already uses
- Model flexibility: local inference or cloud models like Claude, scoped to your compliance needs
- Licensed software rather than per-seat SaaS, with GDPR and UK DPA compliance built in
Cons
- On-premise deployment means you own servers, database, and maintenance — not a zero-ops SaaS
- License pricing is custom and sales-led, with no self-serve tier or public price list
- Smaller team and younger product than mainstream analytics platforms; integrations and docs are still maturing
- Agent output quality depends on the model you point at it, so local-model setups need capable hardware
Pricing Plans
On-Prem License
Licensed software (not SaaS) scoped to your deployment and model choice; requests get a response within 48 hours, followed by an intro call and integration support.
- Deploy on your servers, cloud, or network
- Your choice of local or cloud model
- Built-in dashboard UI and MCP server
- Deployment and integration support
- GDPR and data-residency ready
Frequently Asked Questions
Editorial Review
Editorial Team
September 8, 2026
Flowpoint is the first analytics tool we have reviewed that resolves the privacy-versus-insight tension by architecture: on-prem deployment plus an agent that builds dashboards from plain English plus an MCP server for Claude and Cursor. For GDPR-heavy or data-sovereign marketing teams it is a genuinely differentiated take on agentic analytics.
Editorial Team
September 8, 2026
The trade-off is ownership: you run the infrastructure, you scope the license through sales, and agent output quality depends on the model you attach. Teams wanting a click-and-go SaaS dashboard should look elsewhere — but teams that must keep analytics inside their own walls now have an agentic option that does not force a choice between privacy and usability.
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