Databases
monassoai.fr
Search and retrieve information about French associations from the RNA database.
ENDPOINT 1
https://www.monassoai.fr/api/mcp
Known tools 3
search_associationsRecherche parmi 1 827 450 associations françaises (loi 1901, RNA).
Inferred read-onlyget_associationRécupère les informations complètes d'une association par son identifiant RNA.
Inferred read-onlystatsRetourne les statistiques globales de la base MonAssoAI : nombre total d'associations actives, couverture des descriptions IA, répartition géographique par département.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.monassoai-fr]
url = "https://www.monassoai.fr/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"monassoai-fr": {
"type": "http",
"url": "https://www.monassoai.fr/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: monassoai-fr
Remote MCP URL: https://www.monassoai.fr/api/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"monassoai-fr": {
"url": "https://www.monassoai.fr/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"monassoai-fr": {
"type": "http",
"url": "https://www.monassoai.fr/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "monassoai-fr",
"transport": "streamable-http",
"url": "https://www.monassoai.fr/api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for monassoai.fr was fetched 2026-07-31T09:01:33.660Z and is being refreshed.
monassoai.fr is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.