"RAG (Retrieval-Augmented Generation) MCP Integration for ChatGPT" matching MCP servers:

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.

Provides tools for auditing and fixing scaffolded VA forms to ensure they follow best practices and VA.gov content standards. Enables automated validation, agent prompt generation, and orchestration of form fixes across any vets-website workspace.

Enables ChatGPT to perform read-only lookups on public data sources including WHOIS domain information, UK Companies House records, and SEC EDGAR filings through a self-hosted MCP server with an ngrok tunnel.

Enables any MCP-compatible agent to ask natural-language questions about Chilean labor legislation and receive answers grounded in cited articles from the Código del Trabajo.

This MCP server enables AI assistants to answer questions about government tenders based on the tenders' real documents, with citations to the exact document and page. It supports listing, summarizing, and querying tenders through natural language.

Enables Claude to retrieve and cite clauses from Korean national R&D manuals using RAG, grounding answers with accurate provision references.

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.

Enables AI assistants to search NHTSA recall documents and query governed dbt analytics via validated, read-only text-to-SQL, returning citable evidence and data freshness without granting database or file access.

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 natural-language question answering over Australian government policy documents with grounded, source-cited responses and a tool to list indexed documents.

Enables AI assistants to search a directory of AI agencies, consultancies, and automation providers across Germany, Austria, and Switzerland, returning verified business profiles with type, location, service areas, and review status. Also surfaces federal, EU, regional, and cantonal funding programs for digitalization and AI, including rates, deadlines, and official sources.

Enables AI agents to generate UNHCR-styled data visualizations including bar, line, pie, and scatter charts with refugee and population data, returning charts as base64-encoded images.

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).

A comprehensive MCP server that provides access to U.S. FDA public datasets via the openFDA API, enabling querying of drug adverse events, labeling, recalls, approvals, shortages, NDC directory, and medical device regulatory data.

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.