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"Building a Flutter and Go Application with PocketBase Backend Deployed on Oracle Cloud" matching MCP servers:

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    Queries South Korean building register data (e.g., floor area, parking, seismic design) via a single unified tool, converting API responses to Korean field names for easy AI understanding.
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    1
    MIT
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    Provides 12 tools to query South Korean building register data, including title sheets, floor details, and official house prices via the data.go.kr API. It enables users to perform smart building lookups and region code searches using natural language.
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    Apache 2.0
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    MCP server for answering questions about official statistics from a single publication URL, with tools to check query scope, retrieve overview, text, data files, and search.
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    MCP server for Japan's Jグランツ grant application system, enabling LLMs to search and retrieve subsidy information via natural language.
    47
    MIT
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    Provides access to over 2.5 million US alcohol label records from the TTB via the COLA Cloud API. It enables users to search for labels by brand, barcode, or permit holder and retrieve detailed product information including label images and ABV.
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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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    Provides aggregated municipal development costs for US jurisdictions, including impact fees and utility connection charges, enabling AI agents to assess building feasibility quickly.
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    MIT
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    MCP server that surfaces cited official Japanese government data on Nankai Trough earthquake hazards, building safety standards, and routes users to official hazard maps without inventing numbers.
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    MIT
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    GovToolsPro MCP Server — an MCP server that gives Claude and other AI clients workflow tools for US federal contractors: go/no-go scoring, incumbent intelligence (USAspending + FPDS), teaming-partner search, recompete prediction, Navy NECO lookup, and SAM.gov solicitation retrieval. It returns synthesized decisions rather than raw data, so contractors and capture teams can triage opportunities d
    10
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    MIT