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    A Model Context Protocol server that connects Claude to your own Kia vehicle through the Kia Owners API, enabling vehicle status, location, odometer, EV charge state, and confirm-gated commands for doors, climate, and charging.
    17
    784 npm
    MIT
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    quality
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    Drive Esri's ArcGIS Pro from an AI agent — the ArcGIS Pro counterpart to QGIS MCP. A headless ArcPy CLI plus an in-process .NET 8 add-in that exposes the live Pro session as MCP tools (ping, zoom_to, query, run_gp, export_layout) so an agent drives the running project while you watch.
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    PolyForm Noncommercial 1.0.0
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    Enables AI assistants to search, validate, and edit OpenStreetMap data through natural language commands and built-in safety protections. It supports discovery of nearby amenities, geographic data exploration, and secure map editing via OAuth authentication.
    31
    4
    MIT
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    Enables an AI agent to scout local businesses, instantly re-rank cached leads under new scoring weights, explain each score variable by variable, run one-off website audits, and generate ready-to-send outreach pitches or WhatsApp openers from natural language. It exposes the same discovery/scoring engine as the CLI, so results can be listed, scored and opened in a dashboard without leaving the chat.
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    MIT
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    Enables AI assistants to convert old Vietnamese addresses (63 provinces with district level) into post-2025 addresses (34 provinces, ward/province only), returning new ward codes, postal codes, confidence and all candidates when a unit was split or ambiguous. Also exposes tools to parse free-form addresses, search old/new administrative units, list provinces and wards, and trace which old units formed a new ward.
    MIT
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    Enables MCP-capable assistants to control an open ArcGIS Pro project locally over TCP 127.0.0.1, with 68 commands and 167 tools for layers, editing, symbology, layouts, geoprocessing, and arcpy execution.
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    MIT
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    MCP server that enables ChatGPT to read/write files, run commands, and perform offline investigation tasks (geo, forensics, OSINT) on the host machine, scoped to a workspace with OPSEC controls.
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    Enables local AI-powered retail location intelligence by exposing database schema and spatial query tools to LLMs. It supports executing validated SQL, retrieving example spatial analyses, and generating strategic business insights from retail siting data.
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