MCP server
Idescat MCP Server Official
cat.idescat/mcp
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Query official statistics of Catalonia (Idescat): tables, metadata and JSON-stat data via MCP.
Working at last checkVerified publisher: idescat.catAbout 4,798 tokens per request once connected7 tools
https://api.idescat.cat/mcp
At a glance
- Type
- MCP server
- Publisher
- idescat.cat (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 7
- Token cost
- About 4,798 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http idescat https://api.idescat.cat/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.idescat] url = "https://api.idescat.cat/mcp"
Gemini CLI
{"mcpServers":{"idescat":{"httpUrl":"https://api.idescat.cat/mcp"}}}
Cursor
{"mcpServers":{"idescat":{"url":"https://api.idescat.cat/mcp"}}}
VS Code
{"servers":{"idescat":{"type":"http","url":"https://api.idescat.cat/mcp"}}}
Antigravity
agy mcp add idescat https://api.idescat.cat/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"idescat","server_url":"https://api.idescat.cat/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"idescat","server_url":"https://api.idescat.cat/mcp"}
Tools
get_idescat_stat~468 tokens
Obtains information about an Idescat (Statistical Institute of Catalonia) statistic given its acronym. Use it when the user asks about a specific statistic identified by its acronym (for example, CENSPH, EPA, PIBC, AFI, etc.). The 'datasets' field is a key boolean: if true, the statistic is normalizget_idescat_stat_tables~177 tokens
Obtains the list of tables for an Idescat statistic given its official acronym. Use it when the user asks what tables or information a statistic has. The response contains a 'tables' array where each element has 'id' (numerical identifier) and 'name' (table title). Present each table as: name (id).get_idescat_stats~535 tokens
Obtains the complete list of Idescat statistics (all, normalized and non-normalized). It has no parameters. The response contains a 'statistics' array where each element has: 'acronym' (lowercase acronym, e.g., 'censph', to be used as the 'stat' argument of the other tools), 'name' (title), 'descripget_table_data~1342 tokens
Retrieves the data (values) of an Idescat table in JSON-stat format for a territorial division. You can retrieve the ENTIRE table (without filters) or only a SUBSET by passing the OPTIONAL parameters 'filters' (specific categories per dimension) and/or 'last' (number of last time periods); filteringget_table_geo~303 tokens
Obtains the list of territorial divisions available for an Idescat table (for example: cat=Catalonia, com=counties and Aran, mun=municipalities, prov=provinces, at=territorial plan areas). The response contains a 'divisions' array where each element has 'id' (division code) and 'name' (label). Oftenget_table_metadata~681 tokens
Obtains the metadata for a specific Idescat table in JSON-stat format, given the statistic acronym (stat) and the table identifier (table). Use it when the user wants to know the details of a table: dimensions, categories available for each dimension (time periods, territorial scopes, sex, etc.), darender_table~1292 tokens
Returns a Markdown table already built with the filtered data from an Idescat table, ready to be shown to the user without having to interpret the JSON-stat. It includes the title, units, the table with category labels, status notes (e.g., provisional data), and ALWAYS a final link to the table on t
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