"A server for visualizing a knowledge database as markdown 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.

Deterministic SNAP eligibility logic, exposed as auditable Model Context Protocol tools. An AI agent can read, reason, and orchestrate, but the eligibility determination itself is made by versioned, tested, cited code that a caseworker, an auditor, or a court can inspect.

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.

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.

Provides real-time access to Israeli emergency alerts from the official Pikud Haoref (Home Front Command) API. Enables AI assistants to check current alerts, retrieve alert history with intelligent city filtering, and monitor emergency notifications including rocket alerts, aerial intrusions, and earthquakes.

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.

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.

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.

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 GLEIF LEI (Legal Entity Identifier) database access. Look up, validate, and search legal entities and their relationships in the global LEI system.

Enables AI assistants to check passport visa, entry, and transit requirements for a country pair using official government sources and a deep link to EasyOnward.

MCP server for the NIST National Vulnerability Database — lets AI assistants search CVEs by keyword, severity, CPE, CWE, KEV status, and date range via natural language.

Enables querying xtrust.info for Ukrainian company data including contacts, ratings, and official legal records, as well as searching companies by name and posting reviews through MCP.

Enables AI assistants to look up IRS nonprofit data, verify tax-deductible charity status, and search for organizations by name or location using the CharityAPI database.

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 AI agents to search, retrieve, and analyze vulnerability data from the NIST National Vulnerability Database through a comprehensive Model Context Protocol server.

A Model Context Protocol server that enables integration with the Brazilian PJE (Electronic Judicial Process) system, providing complete support for A1 and A3 digital certificates for accessing judicial data.

Provides access to the official FDA DailyMed database for comprehensive drug information, including drug labels, NDC codes, RxNorm mappings, pharmacologic classifications, and FDA application numbers through natural language queries.

A Model Context Protocol server implementation that provides structured, AI-friendly access to eRegulations data, making it easier for AI models to answer user questions about administrative procedures.