A powerful MCP server connection providing real-time SQL access to over 50 premium datasets directly within your AI coding agent or IDE.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install baselight-mcp
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install baselight-mcp using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Baselight MCP?
The Baselight MCP skill enables AI agents to interact with a vast repository of structured data from over 50 premium sources including Kaggle, World Bank, SEC filings, and real-time financial markets. By bridging the gap between LLMs and live databases, this skill allows developers to perform complex data analysis and retrieval tasks without leaving their IDE.
Using Openclaw Skills like Baselight MCP ensures that your AI coding environment has access to verifiable, high-fidelity data rather than relying solely on model training data. It supports standard SQL syntax for querying tables, making it an essential tool for data science, financial analysis, and research-heavy development workflows.
Baselight MCP Use Cases
- Discovering specific datasets for machine learning or statistical research
- Generating structured tables for reports or application seeding
- Executing live SQL analysis on financial, sports, or demographic data
- Validating AI-generated claims against verifiable external datasets
How Baselight MCP Works
- Analyze the user query to identify relevant data domains or research questions.
- Discover available datasets across 50+ sources using the Baselight MCP server endpoints.
- Inspect the schema of selected tables to understand column types and metadata relationships.
- Construct and execute optimized SQL queries against the structured data tables.
- Return the formatted results along with the original SQL syntax for transparency and reproducibility.
Baselight MCP Setup
To integrate this into your workflow, configure your MCP client using the server URL. For OAuth-based clients like ChatGPT or Claude Desktop, use the standard connection flow. For CLI or IDE tools like VS Code or Gemini CLI, generate an API key from the Baselight dashboard.
# MCP Server URL
https://api.baselight.app/mcp
Ensure you have an active Baselight account to manage authentication and monitor query usage limits.
Baselight MCP Data Schema & Taxonomy
Baselight organizes data using a hierarchical namespace for easy discovery and cross-source querying. Tables are referenced using a specific syntax to avoid naming collisions.
| Level | Format | Description |
|---|---|---|
| Namespace | @username | Represents the data provider or specific user account. |
| Dataset | .dataset | A logical collection of related tables (e.g., soccer, finance). |
| Table | .table | The specific structured data entity to be queried. |
Example Reference: @user.soccer.matches
Baselight MCP Advanced Features
- Support for 50+ premium sources including EVM blockchains, IMF, and OECD
- Native SQL support for complex multi-table joins and aggregations
- Cross-client compatibility across VS Code, Claude, and specialized CLI tools
- Iterative query refinement based on real-time schema inspection hooks
- Integration with Open-Meteo for live weather data analysis within Openclaw Skills
SKILL.md
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