by hanlulong · MCP Server · ★ 52
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
OpenEcon Data 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 · D
| Stars | 52 |
| Forks | 10 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 53.28/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-13 |
| Created | 2025-10-19 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~17k |
Looking for a openecon-data alternative? If you're comparing openecon-data with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
Extend the Ollama API with dynamic AI tool integration from multiple MCP (Model Context Protocol) servers. Ful
MCP server for YouTube — search videos, get transcripts, channels, and playlists. Works with Claude, Cursor &
AI-powered CesiumJS 3D globe control 49 tools for camera, entities, layers, animation & spatial analysis via
MCP server + TypeScript SDK for 40+ U.S. government data APIs — 250+ tools. Treasury, FRED, Congress, FDA, CDC
Umbrella package for SciTeX — reproducible science from raw data to manuscript
Explore other popular mcp server tools:
openecon-data is Give your AI agent accurate economic data. 330K indicators from FRED, World Bank, IMF, Eurostat & more. MCP server + web UI.. It is categorized as a MCP Server with 52 GitHub stars.
openecon-data is primarily written in Python. It covers topics such as ai, data-visualization, economic-data.
You can find installation instructions and usage details in the openecon-data GitHub repository at github.com/hanlulong/openecon-data. The project has 52 stars and 10 forks, indicating an active community.
The top alternatives to openecon-data on Agent Skills Hub include FirstData, ollama-mcp-bridge, youtube-connector-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.