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Model Context Protocol (MCP) server that exposes tools to query the official statistics of Catalonia, published by Idescat (Institut d'Estadística de Catalunya), from any MCP client.

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Idescat MCP server

MCP (Model Context Protocol) server that exposes tools to query the official statistics of Catalonia, published by Idescat (Institut d'Estadística de Catalunya), from any MCP client (Claude, Windsurf, Cursor, VS Code, etc.).

  • Public endpoint: https://api.idescat.cat/mcp
  • Transport: Streamable HTTP (MCP spec 2026-07-28, per-request metadata and server/discover, with legacy initialize compatibility for 2025-11-25 and earlier), stateless — each POST request is independent, with no sessions. POST responses use JSON or SSE according to the client's Accept header; no persistent SSE stream is offered via GET.
  • Authentication: none required (the data is public).
  • Data: official Idescat statistics in JSON-stat; labels and descriptions are in Catalan; territorial scope is Catalonia and its territorial breakdowns (counties, municipalities, provinces, etc.).

Installation

The public endpoint is https://api.idescat.cat/mcp. Add one of the snippets below to your MCP client's configuration. Different clients expect a different key (serverUrl, url, ...) and sometimes a type.

Windsurf/Devin, Antigravity (serverUrl)

{
	"mcpServers": {
		"idescat": {
			"serverUrl": "https://api.idescat.cat/mcp"
		}
	}
}

Cursor, Roo Code, Zoo Code (type: streamable-http)

{
	"mcpServers": {
		"idescat": {
			"type": "streamable-http",
			"url": "https://api.idescat.cat/mcp"
		}
	}
}

Cline (type: streamableHttp)

{
	"mcpServers": {
		"idescat": {
			"type": "streamableHttp",
			"url": "https://api.idescat.cat/mcp"
		}
	}
}

VS Code and the emerging standard form (servers, type: http)

{
	"servers": {
		"idescat": {
			"type": "http",
			"url": "https://api.idescat.cat/mcp"
		}
	}
}

Claude.ai (custom connector)

Claude.ai (web and desktop apps) can reach the remote server directly as a custom connector, no configuration file needed.

  1. Open Customize → Connectors
  2. Click Add custom connector.
  3. Fill in the fields:
    • Name: Idescat
    • Remote MCP server URL: https://api.idescat.cat/mcp
  4. Click Add. No authentication (OAuth / API key) is needed, since the data is public.
  5. Back in a chat, enable the Idescat connector from the tools/attachments menu. Its tools and resources are now available to the assistant.
  6. (Optional) In the connector's tool settings, switch each Idescat tool from Needs approval to Always allow so the assistant can run them without asking for confirmation every time. All the tools are read-only, so this is safe.

Claude Desktop and stdio-only clients (bridge with mcp-remote)

Clients that only speak stdio can reach the remote server through the mcp-remote bridge:

{
	"mcpServers": {
		"idescat": {
			"command": "npx",
			"args": ["-y", "mcp-remote", "https://api.idescat.cat/mcp"]
		}
	}
}

Not sure which key your client expects? (catch-all)

Most clients ignore keys they don't recognise, so this superset works with many of them at once:

{
	"mcpServers": {
		"idescat": {
			"url": "https://api.idescat.cat/mcp",
			"serverUrl": "https://api.idescat.cat/mcp",
			"type": "streamable-http",
			"streamableHttp": "https://api.idescat.cat/mcp"
		}
	}
}

Protocol versions

The server is dual-era (MCP versioning):

Era Protocol versions How the version is chosen Behaviour
Legacy 2025-11-25, 2025-06-18, 2025-03-26, 2024-11-05 initialize negotiation Exactly as before: JSON-RPC in → JSON-RPC out, ping, initialize; errors keep HTTP 200 (-32002 for a missing resource).
Modern 2026-07-28 params._meta["io.modelcontextprotocol/protocolVersion"] on every request (or server/discover) Results carry resultType: "complete", _meta serverInfo, and ttlMs/cacheScope on cacheable methods. initialize/ping don't exist here (-32601 → HTTP 404); a missing resource is -32602; an unsupported version is -32022; header violations are -32020 (HTTP 400).

Modern requests must also send matching headers: MCP-Protocol-Version (equal to the _meta version), Mcp-Method (equal to the JSON-RPC method), and Mcp-Name for tools/call (the tool name) and resources/read (the URI; UTF-8 values may use the =?base64?...?= sentinel). Origin is always accepted — the data is public and the API answers CORS *.

Available tools

Tool Description
get_idescat_stats Full list of available statistics.
get_idescat_stat Information about a statistic (by acronym: censph, pibc, ...).
get_idescat_stat_tables List of tables of a statistic.
get_table_metadata Table metadata (dimensions, categories, units, ...).
get_table_data Table data in JSON-stat: full, or filtered by dimension/territory/periods with the optional filters and last parameters (max. 20,000 cells after applying filters). Supports server-side calculations: age-range filters (">=65"), sum of a dimension's categories and derive (share / difference / percent_change).
get_table_geo Territorial divisions available for a table (cat, prov, com, mun, ...).
render_table Ready-pivoted Markdown table (selectable rows/columns) with an attribution link to the table on the Idescat website. Accepts the same calculations as get_table_data (age-range filters, sum, derive) and reports them in a "Calculations:" block under the table.

Available resources

Beyond the tools, the server exposes MCP resources — content a client can attach to the context without executing any action.

Static resources (resources/list):

URI Description
idescat://instructions Usage guidance.
idescat://glossary/geo Glossary of territorial codes (cat, prov, com, mun, ...).
idescat://catalog/stats Full catalogue of statistics.

Resource templates (resources/templates/list) — parametrised URIs:

URI template Description
idescat://stat/{stat} Information about a statistic (e.g. .../censph).
idescat://stat/{stat}/tables List of tables of a statistic.
idescat://table/{stat}/{table} Table metadata (e.g. .../censph/538).
idescat://table/{stat}/{table}/data JSON-stat data of a table (max. 20,000 cells).

The transport is stateless, so subscribe and resources/list_changed notifications are not offered (there is no persistent connection).

Server-side calculations

Language models are notoriously unreliable at mental arithmetic on long series of values. get_table_data and render_table therefore accept three optional parameters that make the server compute the result deterministically instead of leaving the model to add, subtract or divide the returned values itself:

{ "filters": { "AGE": ">=65", "SEX": "TOTAL" }, "last": 1 }
{ "sum": ["AGE"] }
{ "derive": { "share": "AGE", "percent_change": "previous" } }
  • Age-range filters. For dimensions coded Y000, Y005_009, Y_GE100, etc., a filter value can be a range expression (">=65", ">65", "<16", "<=15", "16-64"); the server resolves it to the exact list of codes and fails with range_not_representable when the published groups cannot express the bound exactly.
  • sum collapses the listed dimensions by adding up their categories; the result is a single SUM category. TOTAL is excluded automatically.
  • derive appends derived metrics to the metric dimension: share (<METRIC>_SHARE = 100 × value / value at TOTAL of the given dimension), difference (<METRIC>_DIFF vs. the previous or a given period) and percent_change (<METRIC>_PCT = 100 × (value − base) / base).

The engine relies on Idescat's conventions: additivity is declared by extension["%"] on the metric dimension (only additive metrics can be summed or shared), TOTAL is the total code, and non-computable cells come back as null with status d. Everything applied is recorded in extension.derived (ranges, summed codes, formulas, warnings) and render_table prints it under the table as a Calculations: block.

Unsafe requests are refused: metric_not_additive, geo_not_summable (the territorial dimension is never summed — use the geo parameter with the division that already publishes the aggregate), range_not_representable, incomplete_data and total_not_available.

Agent skills

Two skills in the Agent Skills open format (a directory with a SKILL.md file: YAML frontmatter + Markdown instructions) teach agents how to use Idescat data correctly. They are published on the website and advertised in the ARD manifest:

Skill URL Description
jsonstat https://www.idescat.cat/dev/api/taules/jsonstat/SKILL.md How to read JSON-stat 2.0 datasets: dimension index, row-major order, stride/offset arithmetic, null and status handling. Generic — useful with any JSON-stat producer.
workflow https://www.idescat.cat/dev/api/taules/workflow/SKILL.md How to query Idescat data reliably (via this MCP server or the Tables API): choosing the statistic and territorial level, metadata-first flow, the 20,000-cell limit and filters, and mandatory source citation.

Repository files

The following files define the server's guidance and resources and are served, unchanged, to MCP clients:

  • instructions.md — usage guidance the server sends to clients during the handshake and exposes as the idescat://instructions resource. It explains how to choose a statistic, the data-retrieval flow, how to interpret JSON-stat, and the source-attribution rules.
  • resources.json — declaration of the MCP resources and resource templates the server exposes (the two tables in the Available resources section above), including each URI, title, description, MIME type, and its backing file or tool.
  • resources/geo.md — glossary of territorial codes (cat, prov, at, com, mun, dis, sec) used by the geo parameter, exposed as the idescat://glossary/geo resource.

The repository also includes:

Discovery (Agentic Resource Discovery)

The server is advertised using the Agentic Resource Discovery (ARD) specification (v0.91) so agents can find it automatically:

  • An ARD manifest is published at https://www.idescat.cat/.well-known/ard.json and https://api.idescat.cat/.well-known/ard.json (served with Access-Control-Allow-Origin: * on both hosts). It carries a top-level specVersion so the same document is valid both as an ARD manifest and as an AI Catalog file: /.well-known/ai-catalog.json is served directly by an internal rewrite of ard.json (no redirect) as application/ai-catalog+json — the predecessor format that some MCP discovery flows still request first. The manifest advertises four entries: this MCP server (application/mcp-server-card+json), the Idescat Tables API, described by its OpenAPI document (application/openapi+json) at https://www.idescat.cat/dev/api/taules/openapi.json, and the two agent skills (application/agent-skills+md, the AI Catalog media type for a skill published as a Markdown SKILL.md file).
  • The MCP server card (application/mcp-server-card+json) is served at https://api.idescat.cat/mcp/server-card, the location the experimental Server Card discovery specification reserves as <streamable-http-url>/server-card. A GET (or HEAD) on the bare endpoint https://api.idescat.cat/mcp returns 405 — the endpoint is POST-only, although POST responses can use SSE. The Card and the MCP handshake (serverInfo) share the name cat.idescat/mcp, matching the MCP Registry. The Card response honours the spec's caching contract: Cache-Control: public, max-age=3600, an ETag that answers If-None-Match with 304, and CORS headers (Allow-Methods: GET, Allow-Headers: Content-Type, If-None-Match, Expose-Headers: ETag).
  • The legacy Card aliases /.well-known/mcp/server-card.json and /.well-known/mcp.json are served directly on api.idescat.cat by an internal rewrite (identical bytes, no redirect — some crawlers do not follow them); on www.idescat.cat they redirect (307) to https://api.idescat.cat/mcp/server-card.
  • The MCP entry in ard.json points to the Card URL and exposes the transport endpoint via metadata.mcpEndpoint (https://api.idescat.cat/mcp). It uses application/mcp-server-card+json: the older application/mcp-server+json media type was deprecated in ARD ADR-0008.
  • The website pages also include a link to the manifest: <link rel="ard" href="/.well-known/ard.json" type="application/json"> (the ard link relation replaces the predecessor ai-catalog relation).
  • robots.txt includes an Agentmap: directive pointing to the manifest.
  • The MCP server is also advertised in the site's llms.txt file.

MCP Registry

The server is listed in the official MCP Registry under the name cat.idescat/mcp (see server.json). MCP clients and aggregators can retrieve its metadata from the registry API:

https://registry.modelcontextprotocol.io/v0.1/servers/cat.idescat%2Fmcp/versions/latest

Interactive testing with MCP Inspector

npx @modelcontextprotocol/inspector@2.0.0

Pinning a specific version (e.g. @2.0.0) keeps the tool reproducible and avoids picking up unexpected changes; it requires Node.js >= 22.19.0. Any npm warn deprecated ... / ERESOLVE messages come from the Inspector's own dependencies and are harmless — they do not affect this MCP server.

Select the "Streamable HTTP" transport and enter the endpoint URL.

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About

Model Context Protocol (MCP) server that exposes tools to query the official statistics of Catalonia, published by Idescat (Institut d'Estadística de Catalunya), from any MCP client.

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