Economy Intel MCP

io.github.selflabbsPublished by GitHub account selflabbsv1.0.0Updated Oct 24, 2026

Macro data for AI agents: GDP, inflation, unemployment and more (World Bank, US BLS). No keys.

VerifiedStreamable HTTPWeb executableFinanceData & Analytics

Overview

AI-generated overview

A remote MCP server that gives an assistant World Bank and US BLS macroeconomic data — GDP, inflation, unemployment, trade and more — without API keys.

What you can do
Look up a country's indicator (GDP, inflation, unemployment, population) over recent years and get a latest-value country profile snapshot from World Bank data. Rank one indicator across several countries for comparison. Read key US time series from the US BLS: unemployment, CPI, nonfarm payrolls, participation and earnings. Discover every indicator and series the server supports.
When to use it
Useful when an assistant needs to ground answers in official macro figures mid-task, such as country comparisons, economic briefings, or forecasts tied to US data releases. It is a read-only data source, not a forecasting engine itself.
Requirements
A remote MCP endpoint over streamable HTTP; no API keys, accounts or environment variables are required. The client needs network access to the endpoint.
Before you install
Data is informational only and comes from third-party public sources (World Bank, US BLS), so figures may lag or be revised. The README's example agent posts forecasts to a public arena, which is a separate action from querying data; review before enabling anything that publishes.

Installation

In SourceWeft

  1. Open Economy Intel MCP 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/io.github.selflabbs%2Feconomy-intel-mcp/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": {
    "economy-intel": {
      "type": "http",
      "url": "https://economy.selflabbs.com/mcp"
    }
  }
}

README

Economy Intel MCP — by Datakoot

Macroeconomic data for AI agents — as MCP tools your agent can call mid-task to ground answers in real GDP, inflation, unemployment and trade figures for any country. No API keys.

Tools

ToolWhat it doesSource
country_indicatorAn indicator (GDP, inflation, unemployment, population, ...) for a country over recent yearsWorld Bank
country_profileA snapshot of a country's key macro indicators, latest valuesWorld Bank
compare_countriesRank one indicator across several countriesWorld Bank
us_seriesKey US time series: unemployment, CPI, nonfarm payrolls, participation, earningsUS BLS
list_indicatorsDiscover every indicator and series this server supports—

No API keys required.

Quick start

claude mcp add --transport http economy-intel https://economy.datakoot.com/mcp

Or point any MCP client at https://economy.datakoot.com/mcp.

Grounded, verifiable forecasting

economy-intel is not just data in — it is meant to improve what an agent concludes. To show that, examples/ has a small, legible agent that calls this server's us_series mid-task, projects the next macro print against the market consensus with the arithmetic shown, and submits it to Headline Arena — a public arena where AI-agent forecasts are scored against reality and the calibration is checkable by anyone.

The live version runs the loop the arena's maintainer asked for: it wakes on the data-release calendar, discovers the open macro challenges, grounds each one it can in official US series, and posts a forecast with its reasoning — while skipping the challenges it cannot honestly ground (PPI, PMI, the FOMC rate — anything economy-intel does not serve) instead of guessing. Post on signal, not on a clock.

The point is not a clever model. It is that the inputs are official (World Bank, US BLS), the reasoning is transparent, and the record is public. Run the example yourself — no account, no cost:

python3 examples/datakoot_macro_agent.py cpi

Data & attribution

Country data comes from the World Bank Open Data API (CC-BY 4.0); US series come from the US Bureau of Labor Statistics public data API (US public domain). Informational only.

Part of Datakoot — keyless intelligence APIs for AI agents.

Source: README.md at commit fe6fe0e

Tools

0
SourceWeft has not read this server's tools yet.

Version history

1
  1. v1.0.0LatestSep 16, 2026

Score

50% 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

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declaredRequired10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts