"Using React with Vite for Responsive Web Development" matching MCP servers:

Enables AI assistants to discover, retrieve, and compare official international development indicators from sources such as the World Bank, FAOSTAT, WHO, UNICEF, and IMF, while preserving source identifiers, units, and citations.

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.

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.

Provides AI assistants with locally bundled tools to explore NIST OSCAL models, retrieve schemas, list community resources, and generate valid OSCAL templates for governance, risk, and compliance workflows.

Enables read-only consultations of DCTF WEB data from the official source via MCP over HTTP, using prepaid credits.

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.

Remote MCP server for the UNESCO Institute for Statistics (UIS): ~5,000 indicators on education, science/R&D, culture and communication by country, region and year — hosted, nothing to install, no API key, with source URL, data release, retrieval timestamp and licence on every answer.

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.

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).

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.

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.

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

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.

Provides UK company lookups via Companies House, web scraping, and search tools designed to be context-efficient for AI agents. It includes integrated micro-payment monetization and supports data extraction and format conversion.

Provides aggregated municipal development costs for US jurisdictions, including impact fees and utility connection charges, enabling AI agents to assess building feasibility quickly.

Unified API for Government Data and Web Scraping

MCP server giving LLMs live access to Statistics Canada's full catalogue of 8,200+ data tables via the Web Data Service, with tools to search tables, inspect dimensions, and fetch time series data using plain-language prompts.

AI-powered property intelligence for instant zoning analysis, buildability assessments, ADU eligibility, flood risk, and development feasibility reports for any US address.

Enables live searching of licensed San Francisco preschools and child care centers, computing ELFA subsidy eligibility and net out-of-pocket costs, and generating ranked recommendations with deterministic scoring versus LLM comparisons.

Read-only Model Context Protocol tools for evidence-based development cooperation and ODA research.