{
  "markdown": "# mcp-ine-es\n\nINE Spain (Instituto Nacional de Estadística) Tempus3 JSON API MCP.\n\nPart of [Pipeworx](https://pipeworx.io) — an MCP gateway connecting AI agents to 1476+ live data sources.\n\n## Tools\n\n| Tool | Description |\n|------|-------------|\n| `list_operations` | List all available INE statistical operations (Spain). Each has a numeric Id, a Codigo (e.g. \"IPC\"=CPI, \"EPA\"=labor force survey), and a Nombre. Use the Codigo or Id with tables_for_operation. |\n| `tables_for_operation` | List the statistical tables belonging to one INE operation. operationId may be the numeric Id (e.g. 25) or the operation code (e.g. \"IPC\", \"EPA\"). Each table has an Id used by series_in_table / table_data. |\n| `series_in_table` | List the data series contained in an INE table. Each series has a COD (series code, e.g. \"IPC251852\") and a Nombre describing the breakdown. Pass a COD to series_data. |\n| `table_data` | Fetch data points for ALL series in an INE table at once. Use nult=N for the last N periods, or date=\"YYYYMMDD:\" for everything from that date on (trailing colon = open-ended range). Each series object carries a Data[] array of {Fecha (epoch ms), Anyo, Valor}. |\n| `series_data` | Fetch data for ONE INE series by its code. Use nult=N for the last N periods, or date=\"YYYYMMDD:\" for from that date on. Returns the series with its Data[] array of {Fecha (epoch ms), Anyo, Valor} points. |\n| `variable_values` | List the values of an INE classification variable (e.g. provinces, age groups, ECOICOP groups). With no variableId, lists all variables; with a variableId, lists that variable's allowed values (each has an Id, Codigo, Nombre). Useful for understanding the breakdowns inside tables. |\n\n## Quick Start\n\nAdd to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):\n\n```json\n{\n  \"mcpServers\": {\n    \"ine-es\": {\n      \"url\": \"https://gateway.pipeworx.io/ine-es/mcp\"\n    }\n  }\n}\n```\n\n### What this endpoint actually serves\n\n`tools/list` at `https://gateway.pipeworx.io/ine-es/mcp` returns the tools in the table\nabove **plus the shared Pipeworx meta-tools** — `ask_pipeworx`,\n`discover_tools`, `search_within`, `remember`/`recall` and the rest of the\ngateway-wide set. So the tool count you see is larger than this table: a\nsingle-pack endpoint currently lists roughly 30 shared tools alongside the\npack's own. The connection's `initialize` response states its exact scope, and\nis the authoritative answer for a given day.\n\nThis is deliberate, not multiplexing by accident. The meta-tools are what let a\nscoped connection answer a question this pack does not cover — via\n`ask_pipeworx`, which routes across the whole catalog — without you adding a\nsecond MCP server. There is currently no way to mount a pack endpoint without\nthem; if the extra schemas cost you more context than the routing is worth,\nconnect to the full gateway once rather than to several pack endpoints.\n\nOr connect to the full Pipeworx gateway to get every pack's tools listed\ndirectly, instead of just this one's:\n\n```json\n{\n  \"mcpServers\": {\n    \"pipeworx\": {\n      \"url\": \"https://gateway.pipeworx.io/mcp\"\n    }\n  }\n}\n```\n\nBoth URLs reach the same gateway and the same 1476+ data sources. The\nonly difference is which pack's tools are listed **directly**; `ask_pipeworx`\nreaches all of them from either one.\n\n## Using with ask_pipeworx\n\nInstead of calling tools directly, you can ask questions in plain English —\nthis works on the pack endpoint above as well as on the full gateway:\n\n```\nask_pipeworx({ question: \"your question about Ine Es data\" })\n```\n\nThe gateway picks the right tool and fills the arguments automatically.\n\n## More\n\n- [Docs and guides](https://pipeworx.io/docs)\n- [pipeworx.io](https://pipeworx.io)\n\n## License\n\nMIT\n",
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  "repo_slug": "pipeworx-io/mcp-ine-es",
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  "api": "https://agentalog.com/api/listings/mcp_io_github_pipeworx_io_ine_es_116fe68f/readme"
}