Dados Pt

dados.gov.pt MCP — Portugal's national open data portal.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "dados-pt": {
      "command": "npx",
      "args": [
        "-y",
        "dados-pt"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

mcp-dados-pt

dados.gov.pt MCP — Portugal's national open data portal.

Part of Pipeworx — an MCP gateway connecting AI agents to 1481+ live data sources.

Tools

Tool	Description
`search_datasets`	Search datasets on dados.gov.pt, Portugal's national open data portal (Portuguese government open data). Returns matching datasets with title, description, publishing organization, and downloadable-resource counts.
`get_dataset`	Fetch a single dataset from dados.gov.pt (Portuguese government open data) by its id or slug, including full description, license, update frequency, tags, and the list of downloadable resources (files) with formats and URLs.
`list_organizations`	List or search the organizations (Portuguese government bodies and other publishers) that publish open data on dados.gov.pt, with their dataset counts and portal pages.
`recent_datasets`	Get the most recently published datasets on dados.gov.pt, Portugal's national open data portal (Portuguese government open data), sorted newest first.

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

config.json

{
  "mcpServers": {
    "dados_pt": {
      "url": "https://gateway.pipeworx.io/dados_pt/mcp"
    }
  }
}

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/dados_pt/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

config.json

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1481+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

Code

ask_pipeworx({ question: "your question about Dados Pt data" })

The gateway picks the right tool and fills the arguments automatically.

License

MIT

Read the full README →View source on GitHub →

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Frequently Asked Questions about Dados Pt

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "dados-pt": { "command": "npx", "args": ["-y", "Dados Pt"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

25Quality signal: Emerging · 25/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools10/30

Adoption & activity1/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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Documentation Overview

mcp-dados-pt

dados.gov.pt MCP — Portugal's national open data portal.

Part of Pipeworx — an MCP gateway connecting AI agents to 1481+ live data sources.

Tools

Tool	Description
`search_datasets`	Search datasets on dados.gov.pt, Portugal's national open data portal (Portuguese government open data). Returns matching datasets with title, description, publishing organization, and downloadable-resource counts.
`get_dataset`	Fetch a single dataset from dados.gov.pt (Portuguese government open data) by its id or slug, including full description, license, update frequency, tags, and the list of downloadable resources (files) with formats and URLs.
`list_organizations`	List or search the organizations (Portuguese government bodies and other publishers) that publish open data on dados.gov.pt, with their dataset counts and portal pages.
`recent_datasets`	Get the most recently published datasets on dados.gov.pt, Portugal's national open data portal (Portuguese government open data), sorted newest first.

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

config.json

{
  "mcpServers": {
    "dados_pt": {
      "url": "https://gateway.pipeworx.io/dados_pt/mcp"
    }
  }
}

What this endpoint actually serves

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

config.json

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1481+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

Code

ask_pipeworx({ question: "your question about Dados Pt data" })

The gateway picks the right tool and fills the arguments automatically.

License

MIT