"MCP servers about European Union and Hong Kong law" matching MCP servers:

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Enables querying of current A\&E waiting times, specialist outpatient waiting times, and general outpatient clinic quotas in Hong Kong using natural language through MCP.

Enables access to Hong Kong government's official open data portal (DATA.GOV.HK) through natural language queries. Supports searching datasets, browsing categories, and retrieving detailed information about Hong Kong's public data resources.

Provides access to Hong Kong government environment data, including the current Air Quality Health Index (AQHI) from monitoring stations across Hong Kong.

Enables querying of Hong Kong government data on elderly community care services, such as waiting times and applicant counts.

MCP server providing access to Hong Kong law and security data, including Foreign Domestic Helpers statistics from the Immigration Department.

Enables users to search and retrieve South Korean statutes, precedents, and administrative rules via the National Law Information Center API. It supports deep legal chain analysis, legislative history tracking, and legal terminology lookups through natural language.

Enables searching and querying Korean law ontology via SPARQL, with tools for law search, detail, agency, region, statistics, and network visualization.

Enables searching and collecting 72 types of Korean legal information from the National Law Information Center Open API, including statutes, precedents, administrative rules, local ordinances, legal interpretations, and committee decisions, and exporting results to xlsx, csv, json, or sqlite.

A workspace of six MCP servers—grounded-cv (hybrid RAG with citations), repo-intel (GitHub repo intelligence), web-research (safe web search/extraction), ats-jobs (unified ATS job boards), outcome-ledger (durable task ledger), and coding-workflows (code review & planning)—purpose-built for agentic hiring evaluations.

Provides access to Hong Kong's recreation, sports, and cultural data through a FastMCP interface, allowing users to retrieve statistics on creative goods trade including domestic exports, re-exports, and imports with optional year filtering.

Provides a framework for running multiple MCP servers using FastAPI, stdio, and streamable-http transports, with an echo tool for testing and integration with MCP Inspector.

Two self-hosted MCP servers: manage a local model machine (Ollama pull/switch, LoRA training) and bridge to local Ollama/vLLM for pure language processing tasks (writing, summarizing, classifying, extraction) without giving the calling agent tools or file access.

Enables searching and retrieving Korean Supreme Court precedents from the law.go.kr Open API, with support for keyword search and detailed judgment text.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables AI-powered legal research and analysis of Polish legal acts from the Sejm API. Provides comprehensive search, document retrieval, metadata analysis, and content access for legal documents from Dziennik Ustaw and Monitor Polski.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

Enables MCP-compatible AI agents to run structured searches over India's court judgments, tribunal matters, and legislation directly from Hugging Face parquet files, with automatic license attribution.

Enables natural language search and retrieval of Korean laws, precedents, administrative rules, and legal terms, with deep legal chain analysis and full-text access. Supports stdio and streamable-http transports for local and remote deployment.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.