"Natural language interface for PostgreSQL database querying" matching MCP servers:

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.

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.

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.

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.

MCP server for searching Korean public procurement bid notices (나라장터) using natural language.

Enables natural language queries about Swiss mandatory health insurance coverage for medications and medical devices using official BAG lists.

MCP server for the Korean National Assembly Open API, enabling querying of bills, members, votes, committees, and more via natural language.

Enables querying Korean procurement corporate profiles and qualifications using business registration numbers through natural language, leveraging the public data API from data.go.kr.

A Model Context Protocol server that connects AI assistants to UNESCO Institute for Statistics data, enabling natural language search, retrieval, and comparison of indicators across countries.

Enables natural-language querying of US WARN Act layoff notices across 48 states since 1988, including searches, employer histories, state totals, and agency revisions, with no API key.

Enables querying the Swedish Food Agency's nutrition database to search foods, retrieve nutrient values, compare foods, and calculate recipe nutrition per serving.

Provides access to the Swiss Federal Commercial Register (Zefix) for company search, verification, and reference data, enabling natural language queries for public administration use cases.

MCP server that unifies official Turkish open data sources into a single interface, letting AI agents query and compare normalized indicators like population, inflation, and GDP through natural language.