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    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.
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    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.
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    MIT
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    A FastMCP server providing access to the Turkish Ministry of Justice's Legislative Information System, allowing LLM applications to search legislation, retrieve article lists, and get article contents in Markdown format.
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    Exposes a Congress.gov-style legislative GraphQL API to MCP clients, enabling querying bills, actions, committee activities, and cosponsors via natural language.
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    MCP server for querying Taiwan's real estate transaction registry via web scraping of the Ministry of the Interior's official portal. Enables natural language queries for real estate sales, rentals, and pre-sale housing data.
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    MIT
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    CompanyLens MCP gives your AI assistant access to real corporate data from official government sources. No web scraping, no hallucinations — verified data from SEC EDGAR, UK Companies House, OpenSanctions, and USAspending.gov.
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    A French administration MCP server that enables AI agents to access official public data including communes, geocoding, property risks, and energy performance certificates (DPE) for real estate evaluation.
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    MIT
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    An MCP server that enables users to search and navigate Madison, Wisconsin municipal ordinances using a TF-IDF search index. It provides specific code sections and citations to answer questions about local regulations like building permits and zoning.
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    A custom MCP server that enables Claude to access and query municipal bond data from the MSRB's EMMA website, which lacks a public API. It provides 18 tools for searching bonds, downloading official statements, and extracting financial data through natural language prompts.
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