Server data from the Official MCP Registry
Argentina's official public data (INDEC, BCRA, 38 portals): search, read tables, cited answers.
About
Argentina's official public data (INDEC, BCRA, 38 portals): search, read tables, cited answers.
Remote endpoints: streamable-http: https://mcp.openarg.org/mcp
Security Report
Valid MCP server (1 strong, 2 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
5 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"org-openarg-datos-publicos": {
"url": "https://mcp.openarg.org/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
OpenArg MCP — Argentina's public data, in your AI assistant
A remote Model Context Protocol server that connects Claude, Cursor, VS Code or your own agent to 33,000+ official Argentine public datasets from 38 government portals: INDEC (census, household survey, poverty, GDP, CPI), the Central Bank (BCRA), national ministries, provinces, municipalities and Congress.
Every answer comes with its source: the dataset title, the portal and a link to the official file.
- Endpoint:
https://mcp.openarg.org/mcp(Streamable HTTP) - Auth:
Authorization: Bearer oarg_sk_…. Free key at openarg.org/desarrolladores - Cost: free
Quick start
Claude Code
claude mcp add --transport http openarg https://mcp.openarg.org/mcp \
--header "Authorization: Bearer oarg_sk_YOUR_KEY"
Cursor (~/.cursor/mcp.json) and other clients with mcpServers
{
"mcpServers": {
"openarg": {
"url": "https://mcp.openarg.org/mcp",
"headers": { "Authorization": "Bearer oarg_sk_YOUR_KEY" }
}
}
}
Claude Desktop (through mcp-remote)
{
"mcpServers": {
"openarg": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.openarg.org/mcp",
"--header", "Authorization:${OPENARG_AUTH}"],
"env": { "OPENARG_AUTH": "Bearer oarg_sk_YOUR_KEY" }
}
}
}
VS Code (.vscode/mcp.json). The key is asked once and stored encrypted.
{
"inputs": [{ "type": "promptString", "id": "openarg-key", "description": "OpenArg key", "password": true }],
"servers": {
"openarg": {
"type": "http",
"url": "https://mcp.openarg.org/mcp",
"headers": { "Authorization": "Bearer ${input:openarg-key}" }
}
}
}
Your own agent. Put the key in OPENARG_API_KEY and tell your assistant:
Add the OpenArg MCP server following https://mcp.openarg.org/llms.txt. My key is in OPENARG_API_KEY. Test the connection with listar_fuentes.
Tools
All tools are read-only. Tool names and outputs are in Spanish; ask in any language.
| Tool | Mode | What it does |
|---|---|---|
buscar_datasets | data | Search the catalog: title, portal, official link and queryable tables |
describir_tabla | data | Columns and types, row count, period covered, 5-row sample |
obtener_datos | data | Rows as CSV (up to 500): pick columns, date range and equality filters. No SQL |
listar_fuentes | data | Portals covered and dataset count per portal |
consultar_datos_publicos | answers | A natural-language question answered by OpenArg, with sources and warnings |
Data mode. Your assistant does the reasoning over the rows. It is fast (about 1 s) and allows 200 requests per month.
Answers mode. OpenArg picks the tables, cross-references them and checks the numbers against the source. It allows 10 questions per month.
Limits
| Per key | |
|---|---|
| Data mode | 200 requests/month, 30/min, up to 500 rows per request |
| Answers mode | 10 questions/month, 2/min |
| Founders | 2,000 requests and 100 questions per month |
Quotas reset on the 1st of each month at 00:00 UTC. Once the monthly quota runs out, the server uses the key's credits if it has any; otherwise it answers HTTP 402 with the reset date. Founders are people who support OpenArg through colossuslab.org/support. If you need more for journalism, research or an NGO and can't contribute, write to devops@colossuslab.org. The full table is at mcp.openarg.org/limites.html. OpenArg reflects what each agency publishes. The answers mode uses a language model and can be wrong, so check the linked source before publishing a figure.
This repository
This is the code of the server behind mcp.openarg.org:
mcp_publico/core.py: pure logic, standard library only.mcp_publico/server.py: MCP SDK and HTTP routes.mcp_publico/site/: the website.
The server is stateless and makes no decisions about quotas or authentication. It forwards the user's key to the OpenArg API, which validates it, applies the quota and answers. Running it yourself only makes sense next to an OpenArg backend (BACKEND_URL). To just use the data, connect to the hosted endpoint above.
It is developed in colossus-lab/openarg_backend (mcp_publico/) and mirrored here.
Español
OpenArg MCP conecta tu asistente de IA a más de 33.000 datasets públicos oficiales de Argentina, de 38 portales: el INDEC (censos, EPH, pobreza, PIB, IPC), el BCRA, ministerios, provincias, municipios y el Congreso. Cada dato viene con su fuente oficial.
- Conseguí tu clave gratis en openarg.org/desarrolladores.
- Conectá
https://mcp.openarg.org/mcpcon el headerAuthorization: Bearer oarg_sk_…. Hay guías para cada cliente en mcp.openarg.org/empezar.html. - Preguntá: "¿Cómo viene la tasa BADLAR en 2026?", "Mostrame el gasto público por ministerio del último ejercicio".
Hay dos modos. El modo datos permite 200 pedidos por mes: tu asistente busca y lee las tablas. El modo respuestas permite 10 preguntas por mes: OpenArg arma la respuesta y verifica los números.
License
MIT. Un proyecto de Colossus Lab · devops@colossuslab.org
Reviews
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