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    Enables AI assistants to look up Indonesian administrative regions (provinsi, kabupaten/kota, kecamatan, desa/kelurahan) and their Kemendagri codes fully offline, with typo-tolerant search, full parent paths, code validation, and BMKG adm4 weather codes. Answers come from a bundled snapshot of 91,599 regions, letting assistants resolve a village code or list its children without any network calls or API keys.
    MIT
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    Enables you to ask which AI models are up, fast, popular, or low-priced right now, using public gateway status, usage, and price data with no API key required. Supports single-model status checks, side-by-side comparisons of up to six models, usage leaderboards, and lowest-price lookups for chat, coding, image, or TTS tasks.
    MIT
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    Enables AI assistants to fetch live Indonesian earthquake reports (latest, felt, and M 5.0+ events with magnitude, depth, tsunami potential and MMI intensity) plus 3-hourly village-level weather forecasts for up to three days from BMKG open data. Runs locally over stdio with no API key or dependencies, answering in Indonesian with English-named JSON fields and required BMKG attribution.
    MIT
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    Enables AI assistants such as Claude Desktop, Claude Code, Cursor, and OpenCode to generate new images from text prompts and edit or combine local image files, saving the results to a local folder. Supports model listing with per-image pricing, reference images up to 4, and safe per-session caps on paid calls.
    MIT
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    Enables an AI assistant to convert numbers to Indonesian words (terbilang), format and parse messy Rupiah amounts, and compute Indonesian VAT under the 2025+ rules. All calculations are offline, exact, and need no API key.
    MIT
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    Enables AI assistants to convert text into speech saved as local MP3/WAV files and to transcribe local audio files into text, including Indonesian. It also lists available speech models with pricing and checks which ones the user's API key can access.
    MIT
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    Enables an AI assistant to decode QRIS payment payloads into named fields, validate their TLV structure and CRC checksum with explicit error codes, rewrite a static code into a dynamic one with a Rupiah amount, and render the result as an SVG QR code. Runs fully offline with no API key, network access, or file writes.
    MIT