Discover APIs, manage categories, and run SQL queries through MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Data API" yet — see the docs or source repo.
Using MCP Data API, find available APIs related to user management, group them by purpose, and call the endpoint for listing users. Return parameter details and a sample result.
A purpose-grouped API list plus the user-list endpoint result, parameter notes, and a sample response.
Review the current hierarchical category structure, identify duplicate or problematic nodes, and propose an improved category tree for organizing the internal API catalog.
A list of problematic category nodes and a clearer hierarchical taxonomy with an updated structure example.
Use MCP Data API to run SQL that calculates order counts and revenue by product line for the last 30 days, sort by revenue descending, and explain the query.
A SQL result table with sorted business metrics and a brief explanation of the query logic.
Query structured data in natural language without needing SQL or API expertise.
Call tools like weather lookup via MCP with reusable resources and prompts.
Search, inspect, trace, and read business data assets across internal platforms.
Discover APIs from codebases, run tests, and generate role-based QA audit reports.
Auto-generate MCP servers so AI can query data sources without code.
Connect to dbt via MCP to inspect projects and run data workflows.