MCP server

Statistics Canada MCP Server

io.github.Aryan-Jhaveri/mcp-statcan

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Access Statistics Canada data via the Web Data Services API

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

17

Token cost

About 6,691 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

Add to CursorAdd to VS CodeVS Code Insiders

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 mcp-statcan https://mcp-statcan.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.mcp-statcan]
url = "https://mcp-statcan.com/mcp"

Gemini CLI

{"mcpServers":{"mcp-statcan":{"httpUrl":"https://mcp-statcan.com/mcp"}}}

Cursor

{"mcpServers":{"mcp-statcan":{"url":"https://mcp-statcan.com/mcp"}}}

VS Code

{"servers":{"mcp-statcan":{"type":"http","url":"https://mcp-statcan.com/mcp"}}}

Antigravity

agy mcp add mcp-statcan https://mcp-statcan.com/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":"mcp-statcan","server_url":"https://mcp-statcan.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"mcp-statcan","server_url":"https://mcp-statcan.com/mcp"}

Tools

• get_all_cubes_list ~236 tokens
  Provides a complete inventory of data tables available via the API, including dimension-level details. Disables SSL Verification. Corresponds to: GET /getAllCubesList Results are paginated. Default returns first 100 cubes. Use offset/limit to page through. Prefer search_cubes_by_title if you know w
• get_all_cubes_list_lite ~247 tokens
  Provides a complete inventory of data tables available via the API, excluding dimension or footnote information (lighter version). Disables SSL Verification. Corresponds to: GET /getAllCubesListLite Results are paginated. Default returns first 100 cubes. Use offset/limit to page through. Prefer sea
• get_bulk_vector_data_by_range ~682 tokens
  Fetches bulk data for multiple vectors filtered by *release date* range (YYYY-MM-DDTHH:MM), NOT by reference period. Use this when you want data released within a specific date/time window (e.g., "all updates released yesterday"). *** IMPORTANT: release date vs reference period *** - Use THIS tool
• get_changed_cube_list ~160 tokens
  Get the list of data tables/cubes that were updated on a specific date (YYYY-MM-DD). Disables SSL Verification. Corresponds to: GET /getChangedCubeList/{date} Returns: List[Dict[str, Any]]: A list of dictionaries describing changed cube objects. IMPORTANT: In your final response to the user, y
• get_changed_series_data_from_cube_pid_coord ~314 tokens
  Retrieves changed series data (data points that have changed) using Cube ProductId and Coordinate string. Coordinates are automatically padded to 10 dimensions. Disables SSL Verification. Corresponds to: POST /getChangedSeriesDataFromCubePidCoord Returns: Dict[str, Any]: A dictionary containing
• get_changed_series_data_from_vector ~234 tokens
  Get changed series data (data points that have changed) for a series identified by Vector ID. Disables SSL Verification. Corresponds to: POST /getChangedSeriesDataFromVector Returns: Dict[str, Any]: A dictionary containing the changed series data object. Raises: httpx.HTTPStatusError: If th
• get_changed_series_list ~229 tokens
  Get the list of series (vectorId, productId, coordinate, releaseTime) that were updated on a specific date (YYYY-MM-DD). Disables SSL Verification. Corresponds to: GET /getChangedSeriesList/{date} Returns: List[Dict[str, Any]]: A list of dictionaries describing changed series objects. Raises:
• get_code_sets ~203 tokens
  Retrieves definitions for various code sets used by the API (e.g., frequency, units of measure). Corresponds to: GET /getCodeSets Returns: Dict[str, Any]: Dictionary containing code set definitions (scalar, frequency, etc.). Raises: httpx.HTTPStatusError: If the API returns an error status
• get_cube_metadata ~454 tokens
  Retrieves detailed metadata for a specific data table/cube using its ProductId. Includes dimension info, titles, date ranges, codes, etc. Disables SSL Verification. Corresponds to: POST /getCubeMetadata Start with summary=True (default). The summary strips noise (French translations, archive codes,
• get_sdmx_data ~858 tokens
  Fetch filtered time-series observations from a StatCan table via SDMX REST. Filtering is done server-side — only the requested slice is returned. Call get_sdmx_structure first to see dimension positions and valid codes. Key syntax (dot-separated codes in dimension position order): "1.2.1" = Ge
• get_sdmx_key_for_dimension ~396 tokens
  Return all leaf member IDs for a single dimension as a ready-to-use OR key string. Use this before get_sdmx_data when a dimension has many codes (e.g. 162 NOC minor groups, hundreds of CMA geographies). Avoids the need to call get_cube_metadata and manually parse a large JSON response. Leaf codes
• get_sdmx_structure ~333 tokens
  Fetch the Data Structure Definition (DSD) for a StatCan table via SDMX REST. Returns dimension codelists with code IDs, names, and parent hierarchy. Use this BEFORE get_sdmx_data to understand the key syntax for that table. Each dimension entry includes: - id: dimension identifier (e.g. "Geograp
• get_sdmx_vector_data ~427 tokens
  Fetch time-series observations for a single StatCan vector via SDMX REST. Simpler alternative to get_sdmx_data when you already know the vectorId. Use get_series_info_from_cube_pid_coord or get_cube_metadata to find vectorIds. Time filtering (use one or the other, not both): lastNObservations=5
• get_series_info ~540 tokens
  Resolve one or more {productId, coordinate} pairs to series metadata (vectorId, titles, frequency, UOM, etc.) in a single API call. Use this to find vectorIds before fetching data with get_sdmx_data or get_sdmx_vector_data. Pass one item or many — same tool either way. Coordinates are automatically
• get_series_info_from_vector ~233 tokens
  Request series metadata (productId, coordinate, titles, frequency, etc.) by Vector ID. Disables SSL Verification. Corresponds to: POST /getSeriesInfoFromVector Returns: Dict[str, Any]: A dictionary containing the series metadata object. Raises: httpx.HTTPStatusError: If the API returns an e
• query_sdmx ~843 tokens
  Fetch SDMX observations and run ONE read-only SQL query over them server-side, returning only the query result. Nothing is stored — the data is loaded into a temporary in-memory table named `data` and discarded after the query. *** Use this for compute/compare/rank questions ("which province grew f
• search_cubes_by_title ~302 tokens
  Searches for data cubes/tables where the English or French title contains the provided search term (case-insensitive). Returns a list of matching cubes in the 'lite' format (excluding dimensions/footnotes). Multiple keywords use AND logic (e.g., "tobacco smoking age" finds cubes containing ALL thre

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• Databases
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• Government and public data

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