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Independent project, not affiliated with Anthropic
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Datos Co

pipeworx-io/mcp-datos-co
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Summary

Connects Claude to Colombia's datos.gov.co open data portal, which runs on the Socrata platform. Part of the Pipeworx gateway ecosystem that bridges AI agents to hundreds of public data APIs. The setup uses streamable HTTP transport and includes an ask_pipeworx natural language wrapper so you can query Colombian government datasets without manually specifying tool parameters. Useful when you need programmatic access to public records, statistical datasets, or administrative data published by Colombian government entities. You can run it standalone or connect to the full Pipeworx gateway for access to their complete catalog of data sources.

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mcp-datos-co

datos.gov.co — Colombia's national open-data portal (Socrata platform).

Part of Pipeworx — an MCP gateway connecting AI agents to 1683+ live data sources.

Tools

ToolDescription
search_datasetsSearch datasets published on Colombia's open-data portal datos.gov.co. Returns each dataset's Socrata 4x4 id (e.g. "gt2j-8ykr"), name, and description (Spanish). Use the id with dataset_columns and query_dataset. Query terms can be Spanish or English (e.g. "covid", "presupuesto", "contratos").
dataset_columnsList the columns of a datos.gov.co dataset: field name (used in SoQL $select/$where), human label, and data type. Call this before query_dataset so you know which fields exist. datasetId is the Socrata 4x4 code from search_datasets.
query_datasetQuery rows from a datos.gov.co dataset using SoQL. datasetId is the Socrata 4x4 code from search_datasets. SoQL clauses: $select (columns / aggregates like "count(*)"), $where (SQL-like filter, e.g. "departamento_nom='BOGOTA' AND edad > 60"), $order ("count desc"), $group, $q (full-text across the row). Use dataset_columns first to learn field names. Returns an array of row objects keyed by field name. Default $limit is 50 (Socrata max per page is 50000).

Quick Start

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

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

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/datos-co/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:

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

Both URLs reach the same gateway and the same 1683+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

curl -X POST https://gateway.pipeworx.io/v1/tools/datos_co_search_datasets \
  -H 'Content-Type: application/json' \
  -d '{"q":"covid"}'

No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/datos_co_search_datasets. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Standalone (no gateway account)

This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:

{
  "mcpServers": {
    "datos-co": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-datos-co"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-datos-co

It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call for only this pack's tools — none of the shared meta-tools the gateway connection above adds. Same source, same tools, no ask_pipeworx routing.

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:

ask_pipeworx({ question: "your question about Datos Co data" })

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

More

  • Docs and guides
  • pipeworx.io

License

MIT

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Categories
Data & Analytics
Registryactive
TransportHTTP
UpdatedJun 2, 2026
View on GitHub

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