REPOGEO REPORT · LITE

datagouv/datagouv-mcp

Default branch main · commit f1858761 · scanned 5/13/2026, 4:47:43 PM

GitHub: 1,451 stars · 120 forks

AI VISIBILITY SCORE

40 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

3 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface datagouv/datagouv-mcp, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Reposition README's opening to clarify specific role

Why:

CURRENT

# data.gouv.fr MCP Server

> [!TIP]
> Got feedback? Tell us about it here

[](https://circleci.com/gh/datagouv/datagouv-mcp)
[](https://opensource.org/licenses/MIT)

Model Context Protocol (MCP) server that allows AI chatbots (Claude, ChatGPT, Gemini, etc.) to search, explore, and analyze datasets from data.gouv.fr, the French national Open Data platform, directly through conversation.

COPY-PASTE FIX

# data.gouv.fr MCP Server: AI Chatbot Gateway for Open Data

This repository hosts the official Model Context Protocol (MCP) server, a dedicated gateway that enables AI chatbots (Claude, ChatGPT, Gemini, etc.) to search, explore, and analyze datasets from data.gouv.fr, the French national Open Data platform, directly through conversation. Unlike the core data.gouv.fr platform, this project specifically focuses on providing a conversational interface for its vast public datasets.

mediumtopics#2

Add more specific topics for AI/LLM integration

Why:

CURRENT

mcp, mcp-server, open-data, opendata

COPY-PASTE FIX

mcp, mcp-server, open-data, opendata, llm-connector, ai-chatbot, government-data, public-data, data-gateway, conversational-ai

lowreadme#3

Add a 'Why datagouv-mcp?' section to the README

Why:

COPY-PASTE FIX

## ✨ Why data.gouv.fr MCP Server?

This server stands out by providing a direct, conversational bridge between cutting-edge AI chatbots and the rich, public datasets of data.gouv.fr. Unlike generic LLM frameworks, it is purpose-built for the French national Open Data platform, offering seamless integration and immediate access to government data for AI-driven analysis and exploration.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface datagouv/datagouv-mcp

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

langchain-ai/langchain

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

langchain-ai/langchain · recommended 1×
pandas-dev/pandas · recommended 1×
duckdb/duckdb · recommended 1×
OpenAI API · recommended 1×
Anthropic Claude · recommended 1×

CATEGORY QUERY
How can I enable AI chatbots to analyze public datasets conversationally?
you: not recommended
AI recommended (in order):
1. LangChain (langchain-ai/langchain)
2. Pandas (pandas-dev/pandas)
3. DuckDB (duckdb/duckdb)
4. OpenAI API
5. Anthropic Claude
6. Google Gemini
7. Streamlit (streamlit/streamlit)
8. Gradio (gradio-app/gradio)
AI recommended 8 alternatives but never named datagouv/datagouv-mcp. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tool helps connect large language models to open government data sources?
you: not recommended
AI recommended (in order):
1. Apache Airflow
2. Pandas
3. PostgreSQL
4. LangChain
5. LlamaIndex
6. FastAPI
7. Hugging Face Transformers
AI recommended 7 alternatives but never named datagouv/datagouv-mcp. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of datagouv/datagouv-mcp?
pass
AI named datagouv/datagouv-mcp explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts datagouv/datagouv-mcp in production, what risks or prerequisites should they evaluate first?
pass
AI named datagouv/datagouv-mcp explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo datagouv/datagouv-mcp solve, and who is the primary audience?
pass
AI named datagouv/datagouv-mcp explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of datagouv/datagouv-mcp. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

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HTML

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datagouv/datagouv-mcp — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite