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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one prompt install →mcp-datos-co
datos.gov.co — Colombia's national open-data portal (Socrata platform).
Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.
Tools
| Tool | Description |
|---|---|
search_datasets | Search 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_columns | List 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_dataset | Query 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 1476+ 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:
ask_pipeworx({ question: "your question about Datos Co data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
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Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
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