"A server for creating UI components from PNG files" matching MCP servers:

Enables AI agents to search and query the public DOJ Epstein Files release across 20 databases, resolve EFTA numbers to official DOJ PDFs, and cross-check viral claims against a fact-checked registry.

Enables AI agents to interact with the Nager MCP UI API through standardized Model Context Protocol tools. It provides a bridge for accessing date-related functionalities and public holiday information from date.nager.at.

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

MCP server that silently monitors state changes in structured data sources (e.g., government open data) and provides a pull-based channel for AI agents to retrieve real mutations since their last cursor.

A Python FastMCP server that re-exposes Kindora's public funder and grant tools for ChatGPT, enabling grant discovery from IRS 990 filings and Grants.gov.

An MCP server for querying land use plans and exporting cadastral maps as DXF files using VWorld Open API from the Korean Ministry of Land, Infrastructure and Transport.

Enables users to search and query information about military service alternative companies in South Korea through the Military Manpower Administration (MMA) API. Supports filtering by service type, industry, company size, location, and recruitment status.

Integrates Korea's government digital design system (KRDS) with AI assistants, enabling users to search components, validate code compliance, and access design tokens for Korean government digital services.

Exposes Denmark's Statistical Bureau API as programmable resources, making it easy to integrate with language models and modern AI applications to enable natural language queries for statistical data.

Finds companies registered at JUCESP from a partner's name, CPF, or CNPJ, returning the NIRE of each participation. It is a read-only MCP server hosted at api.mcp.ai.

MCP server for structured Australian macroeconomic and financial data from the Australian Bureau of Statistics (ABS), the Reserve Bank of Australia (RBA), and the Australian Prudential Regulation Authority (APRA).

Enables users to search and monitor European regulatory publications including GDPR, ISO27001, and AI Act. Supports creating monitoring topics, generating compliance briefs, and setting up notifications for regulatory updates.

A Model Context Protocol server that provides tools to search and retrieve economic data series from the Federal Reserve Economic Data (FRED) API.

An MCP server that exposes real US flood insurance claims data from FEMA's OpenFEMA API, providing tools for claim lookup, filtered search, aggregate stats, and flood event summaries.

MCP Server that gives AI assistants access to comprehensive country data from 250+ countries.

Facilitates retrieval of National Park Services data using the NPS API, allowing users to list national parks by state and access detailed information about specific parks.

An AI-optimized Model Context Protocol server for querying Malaysian consumer goods prices from official KPDN Pricecatcher data, enabling natural language price searches and comparisons across regions.

Torify gives AI agents the Japanese locale primitives that standard libraries lack — imperial era date conversion (wareki), qualified invoice number validation with NTA registry lookup, corporate number lookup (法人番号), postal code resolution, name romanization (Hepburn), and kanji-to-kana conversion via Yahoo! JLP. 31 endpoints total. No authentication required for MCP. Pay-per-call $0.02/call via

Access US federal award, recipient, agency, and spending analytics data from USAspending.gov via MCP, with 18 tools for searching and retrieving detailed records.

Enables natural language access to Denmark's Statistics API (Danmarks Statistik), allowing users to query and analyze Danish statistical data without coding knowledge through AI-powered interactions.