bilbao-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 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.79 npmAGPL 3.0
- AlicenseBqualityDmaintenanceEnables AI agents to report street incidents to Valencia City Council by listing categories, geocoding streets, checking existing reports, and creating nuevos avisos from text or photos with human-confirmed previews. Supports stdio and HTTP transports, with identity and device registration handled locally.117 npm1AGPL 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
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to search existing repair reports, detect potential duplicates, retrieve repair status, create new reports, add updates, and change priorities after confirmation through a repair management backend.MIT
- AlicenseAqualityAmaintenanceEnables AI assistants and agents to query Spanish public statistics from INE, official BOE publications, and Catastro property data via typed, read-only tools with structured, source-citable results.8MIT
TDQS
Scored across 12 tools
Most tools target distinct resources/actions (identity get/set, category list/get/suggest, street search vs coordinate reverse-geocode). The main overlap is create_aviso vs create_aviso_from_photo, which both create reports but differ by photo workflow, so some misselection is possible. get_category vs list_categories vs suggest_categories are also related but have distinguishable purposes.
Almost all tools follow a consistent verb_noun snake_case pattern (check_auth, get_identity, set_identity, list_categories, create_aviso, attach_photo). The main deviation is 'my_avisos' (noun-only, no verb) and the mixed English/Spanish vocabulary (categories vs avisos), but readability stays high.
12 tools is well within the ideal 3-15 range and each one covers a distinct facet of the reporting workflow (auth, identity, categories, geocoding, listing, creating, photo attachment). No obvious filler or redundant tools bloat the set.
The surface covers auth, identity, categories, geocoding, listing, creation, and photo attachment, but lacks lifecycle operations: no get_aviso for a single report's detail/status, no update/edit, and no cancel/delete. Agents can create and list but cannot inspect or modify an individual aviso, which is a notable gap.