Give your AI agent accurate economic data. 330K indicators from FRED, World Bank, IMF, Eurostat & more. MCP server + web UI.
{
"mcpServers": {
"openecon-data": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Give your AI agent accurate economic data. 330K indicators from FRED, World Bank, IMF, Eurostat & more. MCP server + web UI.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 2 days ago. 28 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
Give your AI agent accurate economic data.
330K indicators from FRED, World Bank, IMF, Eurostat, and 6 more sources — one MCP command away.
Website · Live App · Docs · Contributing
curl -fsSL https://raw.githubusercontent.com/hanlulong/openecon-data/main/scripts/install.sh | bash
That's it. The script auto-detects Claude Code and Codex, configures everything. Then just ask:
You: "What's the US GDP growth rate?" → your agent fetches real data from FRED
You: "Compare inflation across G7 countries" → World Bank data for 7 countries
You: "Bitcoin price last 30 days" → CoinGecko live data
No special syntax. No "use query_data". Just ask naturally — your agent handles the rest.
Claude Code:
claude mcp add --transport sse openecon-data https://data.openecon.ai/mcp --scope user
Codex:
codex mcp add openecon-data --url https://data.openecon.ai/mcp
Any MCP agent: Endpoint https://data.openecon.ai/mcp (SSE transport)
See skills/README.md for slash commands and auto-trigger options.
AI agents hallucinate economic data. When you ask an LLM "What is US GDP?", you get a plausible-sounding number that may be outdated or wrong. OpenEcon solves this:
| Without OpenEcon | With OpenEcon | |
|---|---|---|
| Data source | LLM's training data (stale) | Official APIs (FRED, World Bank, IMF) |
| Accuracy | Approximate, often wrong | Verified, with source attribution |
| Coverage | Whatever the LLM remembers | 330K+ indicators, 200+ countries |
| Recency | Months or years behind | Up to real-time (FRED, ExchangeRate) |
| Verifiable | No source link | Every result includes source URL |
| Feature | OpenEcon | fredapi | pandas-datareader | fred-mcp-server |
|---|---|---|---|---|
| Natural language queries | Yes | No | No | No |
| Data sources | 10+ | 1 (FRED) | 5 | 1 (FRED) |
| MCP server for AI agents | Yes | No | No | Yes |
| Web UI with charts | Yes | No | No | No |
| Conversational follow-ups | Yes | No | No | No |
| Smart indicator discovery | 330K indexed | Manual codes | Manual codes | Manual codes |
| Self-hostable | Yes | N/A |
No automated test available for this server. Check the GitHub README for setup instructions.
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