Autario/autario-mcp

Overview

Autario MCP server enables AI agents to query over 2,500 verified datasets. It is built in JavaScript and provides a standardized interface for agents to access structured data.

Best for

Best for
Developers building AI agents that need access to a broad range of public datasets

Use cases

• Integrate verified datasets into AI agent workflows
• Query public data sources from a chat interface
• Automate data retrieval for analysis or reporting

How to use

Install

npx autario-mcp

Tools exposed

• search_datasets
• list_indicators
• get_entity_profile
• get_dataset_info
• get_dataset_schema
• query_dataset
• list_charts
• get_chart
• get_entity_data
• compare_entities
• verify_value
• describe
• correlate
• regression
• pct_change
• rolling_stats
• calculate
• lag_analysis
• seasonality_decomposition
• find_drivers

Tested with

Claude Desktop, Cursor, Cline, ChatGPT, Claude Web, OpenAI Custom GPTs

Example client config

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Notes

Autario MCP server enables AI agents to query over 2,500 verified datasets. It is built in JavaScript and provides a standardized interface for agents to access structured data.

0 stars on GitHub. Last updated 2026-06-09.

Use cases

• Integrate verified datasets into AI agent workflows
• Query public data sources from a chat interface
• Automate data retrieval for analysis or reporting

Pros

• Large library of verified datasets
• Standard MCP protocol for easy integration
• Open source and free to use

Cons

• No community traction (0 stars)
• Limited documentation or examples
• Dependency on external dataset availability and quality

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.