MCP and AI: The French State Redefines Access to Economic Data

MCP: A Direct Connection to the Economy

With the introduction of the Model Context Protocol (MCP), artificial intelligence no longer needs to scour the web for information. It can now access French economic data directly in real-time. This advancement, spearheaded by data.gouv.fr, requires companies to make their information readable by AI agents to remain competitive. The State, through Etalab, has opened public databases such as SIRENE, DVF (real estate transactions), Cadastre, Base Adresse Nationale, demographic data from INSEE, and the DPE. This data is now directly accessible by AI models, transforming public data into a constant ingestion stream. AI no longer just reads an economic report; it can directly query the registers and sense the market's pulse. Currently, this connection is read-only, but it already represents a major breakthrough.

AI Becomes a Real-Time Auditor

Traditionally, AI functioned as a super-librarian, analyzing web pages designed for humans. The MCP changes the game by allowing AIs to connect directly to data sources. Etalab has made databases like SIRENE, DVF, and INSEE accessible to AI models, turning public data into permanent ingestion streams. This allows, for example, an investor to quickly analyze a geographic sector without going through a browser. Until now, accessing economic data involved downloading a CSV file, cleaning it in an Excel spreadsheet, and producing a summary. With the MCP, we are entering a new era where the economy is agentified. For the investor, it marks the end of research time. The AI agent detects weak signals, such as atypical growth, executive movements, or series of deregistrations in a sector, by continuously querying the registers. For the entrepreneur, it's a strategic GPS that connects to real market flows. For employees or consultants, it's a co-pilot capable of instantly querying the SIREN database to qualify a prospect, supplier, or target.

The Challenge of Ghost Data

This technological advancement highlights a critical flaw: data quality. In a world where AIs make decisions, erroneous or poorly structured data can become a strategic handicap. Companies must ensure that their information on public registers is up-to-date and well-indexed to avoid being overlooked by AI agents. If your information on public registers (data.gouv.fr, Infogreffe, INPI) is outdated or poorly indexed, the AI agent advising an investment fund or potential partner will ignore you. Or worse: it may hallucinate a ghost version of your company, reconstructed from outdated data. What was once an internal recommendation for data structuring has now become a survival condition in the open market. The quality of the information you present is no longer just a matter of administrative compliance; it is a factor of visibility and credibility in the agent economy.

From the Era of SEO to the Era of GEO

We are moving from the era of SEO (Search Engine Optimization) to that of GEO (Generative Engine Optimization). The challenge is no longer to please Google's algorithm to attract human clicks, but to make your organization digestible and intelligible for language models and their agents. Your digital presence will no longer be measured by your website traffic, but by the robustness of your GEO Profile. This profile is not just an enhanced "About" page. It is a digital twin of your company, structured to be interpreted by automated systems, based on five pillars: a legal identity layer synchronized with state registers, an operational layer describing your actual markets and expertise, a layer of public KPIs chosen to feed sector analyses, a network layer mapping your relationships and position in the value chain, and an authority layer exposing your publications and positions to be cited as primary sources by LLMs.

The State as a Trusted Third Party

The true breakthrough lies in the convergence between private data and public infrastructures. What will distinguish a high-performing GEO Profile from a simple self-declared database tomorrow is certification by state platforms. In this new model, the State plays a role as a trusted third party on a large scale. A GEO Profile becomes a persuasive tool when it allows an AI to instantly verify your claims: the company claims to have 50 employees? The agent cross-references with certified social data. It claims a growth of 20%? The agent checks via official account filings accessible in MCP. For a company, aligning its GEO Profile with state standards is no longer a regulatory burden; it is a commercial argument with algorithms. Certified data becomes the ultimate anti-hallucination filter.

A Collective Responsibility

The initiative of data.gouv.fr shows the way: data platforms are no longer dusty libraries but critical service infrastructures. In an agent-driven economy, being invisible or unreadable to AI simply means ceasing to exist economically. The revolution of MCP servers compels us to a form of radical honesty. In the era of GEO, one can no longer disguise visibility with high-performing keywords or massive advertising campaigns. You are what your data says about you, and what state platforms can certify. Your primary showcase is no longer the homepage of your website. It is your certified MCP connector. The responsibility is now collective: it is time for organizations to shift from a communication strategy to an exposure strategy.