The API and MCP server: connecting Vurto to your tools

Vurto's REST API and MCP (Model Context Protocol) server, available from the Business plan up, let you connect your AI visibility data to your own tools and automate report retrieval, without going through Vurto's web interface.

What the REST API exposes

The REST API gives programmatic access to the data you'd normally check in the dashboards: visibility scores by brand, category and keyword, results by AI engine, the table of competitors and cited sources, and the results of your product pages' semantic scoring. The main benefit is getting this data out of the interface and into somewhere else — an internal dashboard, an existing reporting tool, a data warehouse — without manual re-entry.

Two complementary tools, not competing ones

The REST API and the MCP server don't replace each other: they serve two different ways of working with data. The API fits when you know precisely which data you want to retrieve, how often, and in what format — a structured, repeatable use, usually set up once by someone technical and then run automatically. The MCP server fits when the question isn't formulated in advance: you realize mid-conversation with your AI assistant that you need a number or a piece of context about your visibility, without having planned that question beforehand. A team can perfectly well use both in parallel: the API for recurring reports, the MCP server for the ad hoc needs that come up in the flow of work.

What the MCP server adds

The MCP server addresses a different need: it lets a compatible AI assistant (Claude, Cursor, ChatGPT) query your Vurto data directly in natural language, within the context of a conversation, rather than writing code against the API. In practice, this means you can ask a question about your visibility or your competitors directly inside the tool you already use daily, without opening Vurto or writing a query.

Connecting Vurto to your tools

The connection is set up by configuring Vurto's MCP server as a data source in the compatible assistant you use — Claude, Cursor or ChatGPT, depending on supported integrations. Once connected, the assistant can pull the relevant information from your Vurto projects (a brand's visibility score, a category's latest analysis, competitors identified on a prompt) right when you need it, in the flow of your work, rather than switching tools.

Concrete use cases

Automating reports is the most direct use case: a periodic API extraction of visibility scores to feed an internal report or a recurring client review, without manually exporting data every week. For an agency tracking several client projects, this makes it possible to build a custom consolidated report, with its own formatting, rather than sticking to the agency dashboard's format. The MCP server, on the other hand, is more suited to ad hoc, exploratory use: checking the state of your visibility while working, without breaking out of a session in another tool.

A concrete automation example

Picture a marketing team producing an internal review every Monday morning on the AI visibility of three tracked brands. Without the API, that means opening Vurto, browsing each dashboard, and exporting or copying the numbers by hand into a presentation. With the REST API, a script scheduled for Monday at 8am can automatically pull each brand's average visibility score, its engine breakdown and its top competitors, and feed them straight into the reporting document used in the meeting. The gain isn't just time saved: it's also the certainty that the number presented matches the latest analysis wave, with no gap caused by a forgotten export.

Before you start

The API and MCP server require a Business plan or above — they aren't available on the Standard and Pro plans. If your main use remains occasional dashboard browsing, web access is more than enough; the value of the API and MCP grows with how often you need automated reports or with the number of projects to consolidate, which makes it a particularly relevant tool in agency mode. See the plans and credits page for eligibility details. Once automation is in place, it fits naturally into a weekly GEO tracking workflow, replacing manual exports with automatic retrieval of the metrics tracked in your dashboards.

Managing access

As with any programmatic access to tracking data, limit the distribution of API credentials to people who actually need them, and revoke access as soon as an integration project ends. This matters especially in agency mode, where several clients and collaborators may be involved with the same data exposed through the API.