Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Connects to the Baselight MCP (Model Context Protocol) server to discover and query 50+ premium dataset sources including Kaggle, OWID, World Bank, Data Commons, Eurostat, FiveThirtyEight, DefiLlama, EVM blockchains, Polymarket, NFLverse, Yahoo Finance, FRED, IMF, SEC filings, OECD, US Census, CDC, FBI Crime, CIA World Factbook, sports (soccer, basketball, fantasy football), weather (Open-Meteo), crypto (XrpScan, XRPL, CoinDesk), and education/health statistics. Run live SQL queries against structured data from AI tools.
Connects to the Baselight MCP (Model Context Protocol) server to discover and query 50+ premium dataset sources including Kaggle, OWID, World Bank, Data Commons, Eurostat, FiveThirtyEight, DefiLlama, EVM blockchains, Polymarket, NFLverse, Yahoo Finance, FRED, IMF, SEC filings, OECD, US Census, CDC, FBI Crime, CIA World Factbook, sports (soccer, basketball, fantasy football), weather (Open-Meteo), crypto (XrpScan, XRPL, CoinDesk), and education/health statistics. Run live SQL queries against structured data from AI tools.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Use Baselight via MCP to browse, discover, and query Baselight datasets directly from your AI tool or IDE. MCP Server URL: https://api.baselight.app/mcp
User wants datasets for a topic User wants structured tables User wants SQL analysis User wants verifiable results
Connect using OAuth or API key depending on client.
ChatGPT connectors Claude Web/Desktop
VS Code Gemini CLI LibreChat
Understand question Discover datasets Inspect schema Query data Return results + SQL
Tables use: @username.dataset.table Example: SELECT * FROM @user.soccer.matches LIMIT 10;
Discover first Inspect schema Query iteratively Include SQL Explain assumptions
Requires Baselight account or API key Query limits may apply Dataset freshness varies
Connection fails: - Verify MCP URL - Reauthenticate or regenerate key Unauthorized: - Invalid key or expired OAuth Slow query: - Reduce scope - Add LIMIT
Docs: https://baselight.ai/docs/connecting-to-the-baselight-mcp-server/ App: https://baselight.app
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.