valencia-avisos-mcp
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- AlicenseAqualityBmaintenanceEnables an AI agent to file municipal incidents and street-damage reports with a GECOR-based town council, attaching a photo (extracting GPS from EXIF when present), previewing the exact summary for explicit human confirmation before anything is sent, and listing previously registered reports and their status. It also supports choosing official categories, resolving nearby streets or callejero references, and switching between GECOR municipalities.7MIT
- AlicenseBqualityCmaintenanceEnables AI agents to report incidents to the Bilbao City Council (MeJora Bilbao / Bilbo Hobetuz) by listing categories, looking up streets, reviewing existing reports, and creating new ones — including generating a report directly from a geolocated photo. Drafts are dry-run by default and real submissions require explicit human confirmation.128 npm1AGPL 3.0
- AlicenseBqualityCmaintenanceEnables an AI agent to list the incident categories of Gijón's municipal reporting system and file real service notices on a citizen's behalf, including generating one from a photo by reading its EXIF GPS and suggesting the matching category. Report creation is dry-run by default and only sends after explicit human confirmation, using a saved email as the contact identity and no credentials.710 npmAGPL 3.0
- AlicenseBqualityCmaintenanceEnables an AI agent to list municipal services and categories, query existing reports, and create new reports to the Las Palmas de Gran Canaria city council—including from a photo—with human confirmation before submission.89 npm3AGPL 3.0
- FlicenseNot gradedqualityDmaintenanceProvides integrated access to location-based weather, reporting history, and infrastructure status data for safety reporting systems. It supports both SSE and stdio protocols for flexible integration with various AI agents and clients.-
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to interact with IoT device data from a smart city, including public lighting, water, and gas meters. Supports querying and management via the Model Context Protocol.1MIT
TDQS
Scored across 11 tools
Cada herramienta tiene un propósito distinto: identidad, registro, categorías, geocodificación, consulta y creación. La única superposición es create_aviso vs create_aviso_from_photo, pero las descripciones aclaran que la segunda es para fotos y con fases; list/get/suggest de categorías se distinguen bien.
Mayoría sigue verbo_sustantivo (get_identity, set_identity, register_device, list_categories, create_aviso) pero hay excepciones en español sin verbo (actuaciones, my_avisos) y geocode es solo verbo. Mezcla de idiomas y convenciones, aunque legible.
11 herramientas es un número adecuado para cubrir identidad, dispositivo, categorías, geocodificación, consulta y creación de avisos. Cada una aporta una operación necesaria, sin redundancia excesiva.
Cubre el ciclo de creación y consulta (listar avisos propios, crear desde texto o foto) pero faltan operaciones de actualización/edición, cancelación/borrado y obtención de un aviso concreto. Es una brecha notable para la gestión completa de avisos.