list_sources
List data sources
List the official statistical sources served by this data layer (e.g. Statistics Canada, FRED), with dataset/series counts, cadence notes, and terms links. Start here to see what exists.
無需輸入參數。
dev.starwell由 starwell.dev 發布官方發布者v0.2.2更新於 Oct 27, 2026
Statistics from 28 agencies: FRED, Eurostat, ECB, World Bank, OECD. Cited values, computed answers.
讓助理取得來自 28 個機構(FRED、Eurostat、世界銀行、OECD 等)可引用的官方統計資料,並提供計算答案、圖表與序列監控。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/dev.starwell%2Fworld-data-statistics/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"starwell-world-data-statistics": {
"type": "http",
"url": "https://starwell.dev/api/starwell/mcp"
}
}
}Starwell is the verified data layer for AI: official statistics from Statistics Canada, FRED, the U.S. Bureau of Labor Statistics, the World Bank, SEC EDGAR, the U.S. Treasury, the European Central Bank, the UK Office for National Statistics, INSEE (France), the Australian Bureau of Statistics, the OECD, Eurostat, INE (Spain), the Czech National Bank, ILOSTAT, Statistics Netherlands, the CDC, Statistics Sweden, Statistics Norway, Statistics Finland, Statistics Austria, the Department of Statistics Malaysia, the U.S. Bureau of Economic Analysis, the Central Statistics Office of Ireland, Statistics Denmark, Statistics Poland, Statistics Estonia, Statistics Iceland, and the U.S. Bureau of Transportation Statistics, served as MCP tools. Every observation carries provenance, every series carries a verification status backed by golden-value checks against the live source, and the answer tool returns computed results cited to the official table.
This package is a thin stdio bridge to the Starwell remote MCP server. The tool surface always matches the server, so new sources and tools appear without a package update.
Tools (12): search_catalog, list_sources, list_datasets, get_series, get_series_stats, get_observations, factory_status, answer, deep_analysis, create_monitor, list_monitors, delete_monitor. Reads are open; answer, deep_analysis, and the monitor tools need a free API key (STARWELL_API_KEY).
Remote-capable clients can skip this package and add the URL directly: https://starwell.dev/api/starwell/mcp (Streamable HTTP).
Settings, Connectors, Add custom connector, URL https://starwell.dev/api/starwell/mcp. On plans without remote connectors, use the desktop config:
.cursor/mcp.json:
~/.codex/config.toml:
~/.gemini/settings.json:
Settings, Apps, enable developer mode, add connector with the remote URL above.
STARWELL_MCP_URL: override the endpoint (staging, self-hosted).STARWELL_API_KEY: Bearer key from https://starwell.dev/account (free). Data reads work without one; answer, deep_analysis, and monitors require it.Only openly licensed official sources are served, each with its license and attribution in every response. The set covers U.S. federal statistical works (public domain), the Statistics Canada Open Licence, World Bank CC BY-4.0, and the respective open licences of the ECB, OECD, ONS, INSEE, and ABS. This product uses the FRED API but is not endorsed or certified by the Federal Reserve Bank of St. Louis.
Docs: https://starwell.dev/docs
This repository is the source of the starwell-mcp
npm package. It is generated from Starwell's main repository, so pull requests here
may be applied upstream by hand — but issues are read and very welcome.
來源:README.md,提交 fb582c6
List data sources
List the official statistical sources served by this data layer (e.g. Statistics Canada, FRED), with dataset/series counts, cadence notes, and terms links. Start here to see what exists.
無需輸入參數。
Search the series catalog
Find series across ALL sources in one call: case-insensitive search over series ids, indicator names, geographies, and dataset titles (e.g. "unemployment canada", "10-year treasury", "CPI"). Returns candidate series with units, coverage, verification status, and license, plus datasetMatches from the wider dataset index — datasets whose series can be requested by source-native id and are fetched from the official source on first call. The fastest path from a question to the exact series id to fetch or pin in the answer tool.
limitquery必填offsetsourceList datasets in a source
List the datasets (official releases/tables) available in one source, with coverage dates and links to the official table pages.
source必填Get series metadata + verification
Full metadata for one series: indicator, unit, frequency, geography, coverage, its VERIFICATION STATUS (passing/stale/failing/unverified from golden-value + freshness checks against the live source), recent check records, and the citation to the official table.
source必填seriesId必填Get observations (with provenance)
Observation values for one series. Every value carries provenance (the exact source URL it came from, retrieval time, connector version) and the envelope carries the series verification status + citation. Defaults to the latest 60 points; use start/end (YYYY-MM-DD) or latest to control the window. Pass asOf for a point-in-time read: the values as Starwell's store held them on that date, before any later revision (available from the series' first ingest forward).
endasOfstartlatestsource必填seriesId必填Summary statistics for a series
Latest value, previous, all-time min/max, mean, and change vs the previous period and vs a year ago — computed over the verified store, with the citation attached. The cheap way to answer "what is it now and how has it moved" without a full analysis run.
source必填seriesId必填Watch a series (webhook on movement)
Create a monitor: when the store's refresh lands a new period or a revised value for the series, a series.updated webhook fires to your URL with the new value, verification status, and citation. Requires an API key (free with an account at /account); webhook must be https. Manage with list_monitors / delete_monitor.
source必填seriesId必填webhookUrl必填List your monitors
Monitors on your API key, with delivery health (last fired, failures, active).
無需輸入參數。
Delete one of your monitors
id必填Answer a question from verified data
The flagship: ask a natural-language question about the served official statistics. Returns a COMPUTED answer (real Python runs in a sandbox over the verified store, nothing is estimated by a model), the Plotly chart, the Python code, citations to the official tables, and a verification badge per series. CROSS-SOURCE: one question may join series from DIFFERENT agencies, e.g. unemployment from the US BLS, Statistics Canada and the UK ONS in a single call, for correlations, ratios, and like-for-like comparison. How many series one question may join is set by the caller's plan; asking for more returns a series_limit error naming that cap. Returns a refusal when no served series can answer. Takes 10-40 seconds. Requires a free API key (create at /account on the Starwell host; pass Authorization: Bearer dlk_... or set STARWELL_API_KEY on the starwell-mcp bridge). Keyless calls return key_required.
endsharestartseriesquestion必填Deep multi-angle analysis from verified data
The moat: a PLANNED multi-section report on a question. The engine designs 3-4 orthogonal analyses (trend, statistics, outliers, cross-series relationships), runs real Python for each in the sandbox over the verified store, and synthesizes one decision-ready report. Every number computed, every series cited and verification-badged. Sections can join series from DIFFERENT agencies in one report, up to the caller's plan width; over it, the call returns a series_limit error naming that cap. Slower than answer (60-180 seconds), so use it for "analyze", "break down", "give me a full picture" asks; use the answer tool for a single direct question. Requires a free API key (create at /account on the Starwell host; pass Authorization: Bearer dlk_... or set STARWELL_API_KEY on the starwell-mcp bridge). Keyless calls return key_required.
endstartseriesquestion必填已滿足適用檢查項的 100%
該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。
claude mcp add --transport http starwell https://starwell.dev/api/starwell/mcp# or via stdio:claude mcp add starwell -- npx -y starwell-mcp{ "mcpServers": { "starwell": { "command": "npx", "args": ["-y", "starwell-mcp"] } }}{ "mcpServers": { "starwell": { "command": "npx", "args": ["-y", "starwell-mcp"] } }}[mcp_servers.starwell]command = "npx"args = ["-y", "starwell-mcp"]{ "mcpServers": { "starwell": { "httpUrl": "https://starwell.dev/api/starwell/mcp" } }}