"OpenAI Gym" matching MCP servers:

Provides a ready-to-run MCP server and Python SDK for securely interacting with Openapi.com APIs, enabling businesses to retrieve official documents and data through natural language.

Search and collect data from the National Assembly Library of Korea's OpenAPI (21 DB types) and export to xlsx/csv/json/sqlite.

Enables searching and retrieving South Korean national statistics tables, inspecting table metadata and values, and exporting results to xlsx/csv/json/sqlite, with automatic time-period splitting when responses exceed 40,000 cells.

MCP server for Portuguese Parliament open data, enabling AI agents to access legislative initiatives, deputies, plenary votes, petitions, and parliamentary committees.

Enables searching and collecting 72 types of Korean legal information from the National Law Information Center Open API, including statutes, precedents, administrative rules, local ordinances, legal interpretations, and committee decisions, and exporting results to xlsx, csv, json, or sqlite.

Find air-quality monitoring stations, read latest sensor values, and pull historical pollutant series via MCP.

MCP server wrapping the openair R package for air quality data analysis, enabling time series loading, statistical summaries, and publication-ready plots like polar and calendar plots.

Enables access to Korean public data services through OpenAPI integration. Supports querying government datasets like parking information in Sejong City through natural language interactions.

Enables MCP-compatible agents to search, retrieve, analyze, and export India's Government e-Marketplace bid data through tools, resources, and prompts.

Enables users to search, track, and analyze procurement data from India's Government e-Marketplace (GeM) for live and stored bid listings. It provides specialized tools for monitoring drone-related procurement opportunities and generating detailed bid analysis reports.