starwell-mcp
MCP serverDev toolsGive your AI the ability to answer questions with official statistics from 28 agencies, including FRED, Eurostat, the ECB, the World Bank, and the OECD. Every value it returns is cited to its exact source, and answers are computed from the data rather than guessed. It can also watch series you follow and flag new or revised figures when they are published.
Use starwell-mcp in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add starwell-mcp and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use starwell-mcp to list sources
No key or account is asked for. Not verified by us yet: Ahel has not run a call through it.
Details
Available today. Use it from your connected AI after setup. It ran on Ahel's own infrastructure and offers 11 tools.
No key or account is asked for. Not verified by us yet: Ahel has not run a call through it.
After adding it, ask your AI a question about a statistic you need, or have it list the covered sources and search the catalog for a topic. From there you can pull cited values, request a deeper report, or set up monitors on the series you care about.
What your AI can do with it
- Answer natural-language questions about official statistics with computed results
- Search all sources at once for series by indicator name, geography, or date
- Pull observation values that carry the exact source URL and retrieval time
- Summarize a series with its latest value, all-time min and max, mean, and recent change
- Produce a planned multi-section report covering trend, statistical, and other angles on a question
- Create monitors that notify you when a series gets a new period or a revised value
Install starwell-mcp
The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user starwell-mcp 'https://starwell.dev/api/starwell/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://starwell.dev/api/starwell/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=starwell-mcp&config=eyJ1cmwiOiJodHRwczovL3N0YXJ3ZWxsLmRldi9hcGkvc3RhcndlbGwvbWNwIn0=Open the link and Cursor adds the server at that address.
ChatGPT
https://starwell.dev/api/starwell/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add starwell-mcp --url 'https://starwell.dev/api/starwell/mcp'Run it once, then sign in with codex mcp login starwell-mcp if the server asks for an account.
From the project's README
As published by adarsh4052/starwell-mcp in README.md.
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
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:
{
"mcpServers": {
"starwell": { "command": "npx", "args": ["-y", "starwell-mcp"] }
}
}
Cursor
.cursor/mcp.json:
{
"mcpServers": {
"starwell": { "command": "npx", "args": ["-y", "starwell-mcp"] }
}
}
OpenAI Codex CLI
~/.codex/config.toml:
[mcp_servers.starwell]
command = "npx"
args = ["-y", "starwell-mcp"]
Gemini CLI
~/.gemini/settings.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.
Tools it gives your AI (11)
| Tool | What it does |
|---|---|
| list_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. |
| search_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"). |
| list_datasets | List the datasets (official releases/tables) available in one source, with coverage dates and links to the official table pages. |
| get_series | 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... |
| get_observations | 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 +... |
| get_series_stats | 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. |
| create_monitor | 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. |
| list_monitors | Monitors on your API key, with delivery health (last fired, failures, active). |
| delete_monitor | No description in the server's own manifest. |
| answer | The flagship: ask a natural-language question about the served official statistics. |
| deep_analysis | 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... |
Signals
- Last commit
- Aug 2026
- Weekly downloads
- 42
- Weekly_downloads
- 58 weekly_downloads
- Tools captured
- 11
Advanced
- Delivery
- world-data-statistics MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
dev-starwell-world-data-statistics- Source
- github.com/adarsh4052/starwell-mcp
- Hosted endpoint
https://starwell.dev/api/starwell/mcp
github.com/adarsh4052/starwell-mcp
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