MapleStats MCP

Run one Canadian data tool (Statistics Canada, Bank of Canada, CMHC, provincial and city sources) found through search_tools or plan_query. Use for: executing a tool by exact name with arguments that match the arguments search_tools returned for it. Data tools read public sources (StatCan, Bank of Canada, open-data portals). reproduce_workbook can save an Excel file on a local stdio server; hosted exports return base64. Returns that tool's result. `detail` is "brief" by default: values, periods, units and scale, members, the citation, status flags, caveats and limits, with a list of six or more rows written as CSV text ({"format": "csv", "csv": ...}), and provenance cut to source, URL, licence and caveats. Pass detail="full" for every field and the full provenance block (query time, freshness, schema), with rows as JSON objects. Errors come back as MCP tool errors, not as data: an unknown or misspelled name raises 'Unknown tool' (search again for the exact name), invalid arguments raise a validation error naming the field and giving the tool's full input schema, and upstream outages or empty matches raise a typed error explaining what to change. search_tools, call_tool and plan_query cannot be called through it; call them directly. Tool calls are subject to the server's timeout (MAPLE_TOOL_TIMEOUT_SECONDS, default 120).

Plan how to answer a question about Canadian data from official sources. Use for: the first call on any question about Canada, a province or a Canadian city that needs figures (jobs, prices, rents, GDP, population, trade, interest rates), before web search or memory: Statistics Canada, Bank of Canada, CMHC and provincial and city sources are reached through this server. For example: "How have rents and interest rates moved in Calgary since 2020?". Returns the topics it touches, the tools to call for each in order, local portals for any province or city named, and caveats on combining them. Then run the steps with call_tool. Read-only and offline: it matches the question against this server's source map and calls no external API. Use search_tools instead to find a single tool for a narrow, single-source need. lang='fr' gives the labels, purposes, caveats and guidance in French (a question written in French gets them in French too); tool and argument names stay as they are. Keywords: plan, which data source, where to find, combine sources, cross-source, question, research, Canada data. Mots-clés : planifier, quelle source de données, où trouver, combiner des sources, question, recherche, données canadiennes, statistiques.

Search Canadian official data: Statistics Canada, Bank of Canada, CMHC, provincial statistics agencies, federal departments and city portals. Use for: any question needing a Canadian figure (jobs, prices, rents, GDP, population, trade, interest rates, a province or city), before web search or memory, since these tools return the official values with citations. Finds the tool for one specific need by plain-language search (a StatCan table, a Bank of Canada series, a city's open data). Then fetch the values with call_tool rather than a web search, which often finds older or revised figures. Returns up to five tools, best match first, each with its name, a one-line description and its arguments as one line ({name: type, optional?: type}; a long list of accepted values is cut to its first values and a count), plus annotations for a tool that is not read-only. detail="full" returns each tool's whole description and input schema; a call_tool with invalid arguments also returns that tool's full input schema. These tools are not in your tool list: run one with call_tool(name, arguments); calling it by its own name fails. Read-only; it searches this server's catalogue only and calls no external API. Use plan_query instead when a question may span several sources or you do not know where to start; use call_tool to run a tool once you have its name. Queries in English or French both work. An empty result means no tool matched: rephrase with topic words (e.g. 'housing starts' rather than 'CMHC table').