Starwell: World Data & Statistics

dev.starwellPublished by starwell.devOfficial publisherv0.2.2Updated Oct 27, 2026

Statistics from 28 agencies: FRED, Eurostat, ECB, World Bank, OECD. Cited values, computed answers.

VerifiedStreamable HTTPWeb executableFinanceKnowledge & MemoryData & Analytics

Overview

AI-generated overview

Gives an assistant cited official statistics from 28 agencies (FRED, Eurostat, World Bank, OECD and others), with computed answers, charts and series monitors.

What you can do
  • Browse sources and datasets, and search series across all agencies
  • Read series metadata, verification status, observations with provenance, and quick stats
  • Ask natural-language questions and get computed answers with charts, code and citations
  • Run planned multi-section deep analysis reports on a question
  • Create, list and delete webhook monitors that fire when a series updates
When to use it
Useful when an assistant needs trustworthy macroeconomic or labor statistics with citations to official tables, rather than model-estimated numbers, and when you want alerts on new or revised data periods.
Requirements
Remote Streamable HTTP endpoint, or the starwell-mcp npm package run via npx with Node.js. Reads work without credentials; answer, deep_analysis and the monitor tools need a free STARWELL_API_KEY. Monitors require an https webhook URL. Network access to the Starwell service.
Before you install
The API key is a secret sent as a Bearer credential; keep it out of shared configs. Monitors send series updates to a webhook URL you supply, so that URL and its receiver see your data. Monitors can be created and deleted, which changes state on your account. Queries and questions are sent to the Starwell service.

Installation

In SourceWeft

  1. Open Starwell: World Data & Statistics in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/dev.starwell%2Fworld-data-statistics/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "starwell-world-data-statistics": {
      "type": "http",
      "url": "https://starwell.dev/api/starwell/mcp"
    }
  }
}

README

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).

Install per client

Remote-capable clients can skip this package and add the URL directly: https://starwell.dev/api/starwell/mcp (Streamable HTTP).

Claude Code

sh
claude mcp add --transport http starwell https://starwell.dev/api/starwell/mcp# or via stdio:claude mcp add starwell -- npx -y starwell-mcp

Claude Desktop / claude.ai

Settings, Connectors, Add custom connector, URL https://starwell.dev/api/starwell/mcp. On plans without remote connectors, use the desktop config:

json
{  "mcpServers": {    "starwell": { "command": "npx", "args": ["-y", "starwell-mcp"] }  }}

Cursor

.cursor/mcp.json:

json
{  "mcpServers": {    "starwell": { "command": "npx", "args": ["-y", "starwell-mcp"] }  }}

OpenAI Codex CLI

~/.codex/config.toml:

toml
[mcp_servers.starwell]command = "npx"args = ["-y", "starwell-mcp"]

Gemini CLI

~/.gemini/settings.json:

json
{  "mcpServers": {    "starwell": { "httpUrl": "https://starwell.dev/api/starwell/mcp" }  }}

ChatGPT (developer mode)

Settings, Apps, enable developer mode, add connector with the remote URL above.

Configuration

  • 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.

Data licensing

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.

Source: README.md at commit fb582c6

Tools

11

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.

Takes no parameters.

search_catalog

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.

Parameterslimitqueryrequiredoffsetsource

list_datasets

List datasets in a source

List the datasets (official releases/tables) available in one source, with coverage dates and links to the official table pages.

Parameterssourcerequired

get_series

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.

ParameterssourcerequiredseriesIdrequired

get_observations

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).

ParametersendasOfstartlatestsourcerequiredseriesIdrequired

get_series_stats

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.

ParameterssourcerequiredseriesIdrequired

create_monitor

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.

ParameterssourcerequiredseriesIdrequiredwebhookUrlrequired

list_monitors

List your monitors

Monitors on your API key, with delivery health (last fired, failures, active).

Takes no parameters.

delete_monitor

Delete one of your monitors

Parametersidrequired

answer

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.

Parametersendsharestartseriesquestionrequired

deep_analysis

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.

Parametersendstartseriesquestionrequired

Version history

1
  1. v0.2.2LatestSep 16, 2026

Score

100% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts