HPRG Hotel Concierge logo
Category needed AI App Connected

HPRG Hotel Concierge

by Quinta(Community)

Available in:USFRGBESKRIN
Available on: ChatGPT

Visitor takeaway

58/100

Fair AI-discovery coverage across description, prompts, keywords, visuals, tool metadata, health, and freshness.

Routing category

Needs category

This listing is missing a primary category, which weakens browse placement and AI recommendation routing.

Connector evidence

Reachable

Tedix can reach this MCP endpoint and can show live capability evidence when tools are discovered.

Directory freshness

4h ago

Catalog metadata was refreshed 4h ago (October 18, 2026).

Description

HPRG Hotel Concierge helps guests explore participating Hôtels Paris Rive Gauche hotels in Paris, compare hotel information, find nearby places, check room availability and pricing, review Paris weather, and calculate travel distance from selected hotels. Guests can follow hotel booking links to complete a reservation. With explicit consent, the plugin can send guest contact details and stay preferences to the selected hotel, create a contact and conversation, and return a tracked booking link. The hotel team may be notified and configured hotel integrations may receive the contact details. This does not reserve a room, hold availability, or take payment. Repeating a contact submission creates a new contact and conversation. The plugin is provided with authorization from Hôtels Paris Rive Gauche and operated by Quinta, HPRG's travel technology provider.

Capabilities

Can Modify Data

AI Agent Discovery

HPRG Hotel Concierge is indexed by Tedix as a structured ai application listing for AI assistants, search crawlers, and users comparing agent-ready apps.

  • HPRG Hotel Concierge has no primary catalog category yet; Tedix treats this as a routing gap for browse and recommendation surfaces.
  • Developer: Quinta.
  • Connector type: AI-Powered App.
  • Current connector status: Connected.
  • Observed distribution channels: chatgpt.
  • Available regions: US, FR, GB, ES, KR, IN.
  • Declared capabilities: write or update records when authorized.

Use this page to understand whether HPRG Hotel Concierge is relevant for general AI app workflows in AI assistants.

For MCP discovery, this listing helps crawlers connect HPRG Hotel Concierge to tool, resource, prompt, and server-health signals instead of treating it as a generic directory entry.

The canonical Tedix directory URL is https://tedix.dev/apps/hprg-hotel-concierge/.

Crawlable Profile

Source and availability

Tedix identifies HPRG Hotel Concierge from Upstream Mcp tool source; Store sources: ChatGPT app store; Distribution: Ecosystem Directory; Tenant install: A platform catalog operator must create or reconcile the base app before tenants can install this entry.. Availability is reported for US, FR, GB, ES, KR, IN.

Auth, tools, and actions

Authentication: Open Access. HPRG Hotel Concierge is flagged for Can Modify Data. Current MCP inventory reports 8 tools, 4 resources, and 0 prompts.

  • calculate_distance · Read-only action

    Calculates the distance and travel time between an HPRG hotel and a place in Paris. Takes the hotel name, a destination location, and a travel mode ('walking', 'bicycling', 'driving', or 'transit'). Returns the distance and estimated travel duration for that mode.

  • check_room_availability · Read-only action

    Retrieves room availability and pricing for Hôtels Paris Rive Gauche (HPRG) group hotels in Paris. Returns available room types with prices and booking URLs. When resolving relative dates such as "next Monday", use the current date from the conversation context as the reference point. Do not assume a fixed date. Required parameters: a check-in date (checkIn) in YYYY-MM-DD format, the number of nights (nights), and the number of adults (adults). To filter by amenity or feature, hotel names can first be identified via get_hotel_summaries and passed here as hotelNames. If hotelNames is omitted, all HPRG hotels are checked.

  • create_booking_contact · High-impact write action

    Submits the guest's contact details to an HPRG hotel so they can complete a booking, and returns a booking link. This is a WRITE action with real effects: - It creates a contact and a conversation for the guest in the hotel's customer system. - It may notify the hotel team (for example by email, depending on the hotel's notification settings) about the new conversation. - If the hotel has a CRM or marketing integration configured, the guest's name, email and phone may be synchronised to it. - It creates a tracked booking link for the guest. It does NOT reserve a room, does NOT hold availability and does NOT take any payment: the guest completes the reservation on the hotel's booking page using the returned link. Only call this AFTER (1) get_privacy_policy was called for THIS hotel and the user explicitly accepted that policy, and (2) you told the user exactly what will be sent and that the hotel team may be notified, and they explicitly agreed. Privacy acceptance given for one hotel does not apply to another hotel. The tool refuses (success=false) and creates nothing unless ALL of the following are valid: privacyAccepted=true, policyVersion (the value returned by get_privacy_policy for this hotel, matching the hotel's current policy), hotelName, fullName, a valid email, checkIn, nights, rooms, adults, and every field the hotel marks mandatory in get_privacy_policy (for example phone). Do not call it with partial data. Every successful call creates a NEW contact and conversation: calling it again for the same booking creates duplicates and may notify the hotel again. Call it once per booking request; if a call fails or times out, tell the user instead of retrying blindly. Pass the same search parameters (checkIn, nights, rooms, adults, etc.) that were used in check_room_availability.

  • get_hotel_summaries · Read-only action

    Retrieves summary sections for one or more Hôtels Paris Rive Gauche (HPRG) group hotels in a single call. Pass all hotel names together in the hotelNames array rather than calling the tool once per hotel. Example: {"hotelNames": ["Baume Hotel Paris","Salvia Paris"], "section_id": "BREAKFAST"}. Covers hotel amenities, services, policies, and general information. If hotelNames is omitted, returns summaries for all HPRG hotels.

  • get_privacy_policy · Read-only action

    Fetches the privacy policy, its policyVersion and the mandatory contact fields for ONE specific HPRG hotel. Call this when the user expresses intent to book a room (e.g. "I want to book X at Y"). This is a read-only lookup: nothing is created or sent. The user's acceptance and the policyVersion are valid for that hotel only. If the user then wants to book at a DIFFERENT hotel, call this tool again for that hotel and ask for acceptance again. For further bookings at the same hotel you do not need to call it again unless the user is unsure what they accepted. After calling this tool: 1. If privacyText is non-null, present it to the user and ask if they accept it. 2. If they decline, stop - do not proceed to create_booking_contact. 3. Collect contact fields based on mandatoryFields rules: - isRequired=false -> do NOT ask for this field. Do not mention it. Do not pass it to create_booking_contact. - isRequired=true, isMandatory=false -> ask, but it is optional (user may skip) - isRequired=true, isMandatory=true -> required, do not proceed without it 4. Before calling create_booking_contact, tell the user exactly what will be sent (name, email, phone if given, hotel, dates) and that the hotel team may be notified, and wait for an explicit yes. 5. Call create_booking_contact with the collected fields and the policyVersion returned here.

  • get_weather_forecast · Read-only action

    Retrieves weather forecast for a specific date in Paris. Use this tool when the user asks about weather for a specific day. If the user asks about general weather without mentioning a specific day, use get_hotel_summaries with section_id='WEATHER' instead. The date must be in YYYY-MM-DD format.

  • search_hotels · Read-only action

    Searches hotels in the Hôtels Paris Rive Gauche (HPRG) group in Paris (group ID 5). Accepts an optional single hotel name or an array of hotel names; all criteria are optional and combined with AND logic. Returns hotel names, star ratings, and address details (location, coordinates, city, country, state) when available, and renders matching hotels on a map. This tool is for hotel discovery; it does not return room availability or pricing. To filter by amenity or feature (for example hotels with a spa), first call get_hotel_summaries with the relevant section_id to retrieve hotel information, then pass the matching hotel names to this tool's 'names' parameter to display them on the map.

  • search_nearby_places · Read-only action

    Searches for places near an HPRG hotel using Google Maps — broad nearby discovery such as restaurants, museums, shopping malls, transit hubs, parks, and hospitals. Takes a hotel name (for example 'Baume Hotel Paris') and an optional place type. Intended for general nearby places rather than ticketed tours or structured experiences. Returns the full set of results from a single search; the result set is complete as returned.

Verification freshness

  • Catalog synced4h ago (October 18, 2026)
  • Connector checked3h ago (October 18, 2026)
  • MCP scanned3h ago (October 18, 2026)
  • Directory updated3h ago (October 18, 2026)

Publisher Intelligence

Public trust signals for visitors and practical recommendations for publishers. Use this section to understand what Tedix can verify today and what would make the app easier for AI agents to find.

Visitor takeaway

58/100

Fair AI-discovery coverage across description, prompts, keywords, visuals, tool metadata, health, and freshness.

Routing category

Needs category

This listing is missing a primary category, which weakens browse placement and AI recommendation routing.

Connector evidence

Reachable

Tedix can reach this MCP endpoint and can show live capability evidence when tools are discovered.

Directory freshness

4h ago

Catalog metadata was refreshed 4h ago (October 18, 2026).

Server Statusunknown

8
Tools
8
Resources
0
Prompts
https://global-mcp-apps.quinta.im/hprg/mcp

Last checked: 3h ago

Technical Details
Connection Latency2.7s

Tools(8)

Showing 8 of 8 tools

Sorted by toolName
FlagsTest
calculate_distance
Calculates the distance and travel time between an HPRG hotel and a place in Paris. Takes the hotel name, a destination location, and a travel mode ('walking', 'bicycling', 'driving', or 'transit'). Returns the distance and estimated travel duration for that mode.
read-only
Not tested
——
check_room_availability
Retrieves room availability and pricing for Hôtels Paris Rive Gauche (HPRG) group hotels in Paris. Returns available room types with prices and booking URLs. When resolving relative dates such as "next Monday", use the current date from the conversation context as the reference point. Do not assume a fixed date. Required parameters: a check-in date (checkIn) in YYYY-MM-DD format, the number of nights (nights), and the number of adults (adults). To filter by amenity or feature, hotel names can first be identified via get_hotel_summaries and passed here as hotelNames. If hotelNames is omitted, all HPRG hotels are checked.
read-only
Not tested
——
create_booking_contact
Submits the guest's contact details to an HPRG hotel so they can complete a booking, and returns a booking link. This is a WRITE action with real effects: - It creates a contact and a conversation for the guest in the hotel's customer system. - It may notify the hotel team (for example by email, depending on the hotel's notification settings) about the new conversation. - If the hotel has a CRM or marketing integration configured, the guest's name, email and phone may be synchronised to it. - It creates a tracked booking link for the guest. It does NOT reserve a room, does NOT hold availability and does NOT take any payment: the guest completes the reservation on the hotel's booking page using the returned link. Only call this AFTER (1) get_privacy_policy was called for THIS hotel and the user explicitly accepted that policy, and (2) you told the user exactly what will be sent and that the hotel team may be notified, and they explicitly agreed. Privacy acceptance given for one hotel does not apply to another hotel. The tool refuses (success=false) and creates nothing unless ALL of the following are valid: privacyAccepted=true, policyVersion (the value returned by get_privacy_policy for this hotel, matching the hotel's current policy), hotelName, fullName, a valid email, checkIn, nights, rooms, adults, and every field the hotel marks mandatory in get_privacy_policy (for example phone). Do not call it with partial data. Every successful call creates a NEW contact and conversation: calling it again for the same booking creates duplicates and may notify the hotel again. Call it once per booking request; if a call fails or times out, tell the user instead of retrying blindly. Pass the same search parameters (checkIn, nights, rooms, adults, etc.) that were used in check_room_availability.
destructive
Not tested
——
get_hotel_summaries
Retrieves summary sections for one or more Hôtels Paris Rive Gauche (HPRG) group hotels in a single call. Pass all hotel names together in the hotelNames array rather than calling the tool once per hotel. Example: {"hotelNames": ["Baume Hotel Paris","Salvia Paris"], "section_id": "BREAKFAST"}. Covers hotel amenities, services, policies, and general information. If hotelNames is omitted, returns summaries for all HPRG hotels.
read-only
Not tested
——
get_privacy_policy
Fetches the privacy policy, its policyVersion and the mandatory contact fields for ONE specific HPRG hotel. Call this when the user expresses intent to book a room (e.g. "I want to book X at Y"). This is a read-only lookup: nothing is created or sent. The user's acceptance and the policyVersion are valid for that hotel only. If the user then wants to book at a DIFFERENT hotel, call this tool again for that hotel and ask for acceptance again. For further bookings at the same hotel you do not need to call it again unless the user is unsure what they accepted. After calling this tool: 1. If privacyText is non-null, present it to the user and ask if they accept it. 2. If they decline, stop - do not proceed to create_booking_contact. 3. Collect contact fields based on mandatoryFields rules: - isRequired=false -> do NOT ask for this field. Do not mention it. Do not pass it to create_booking_contact. - isRequired=true, isMandatory=false -> ask, but it is optional (user may skip) - isRequired=true, isMandatory=true -> required, do not proceed without it 4. Before calling create_booking_contact, tell the user exactly what will be sent (name, email, phone if given, hotel, dates) and that the hotel team may be notified, and wait for an explicit yes. 5. Call create_booking_contact with the collected fields and the policyVersion returned here.
read-only
Not tested
——
get_weather_forecast
Retrieves weather forecast for a specific date in Paris. Use this tool when the user asks about weather for a specific day. If the user asks about general weather without mentioning a specific day, use get_hotel_summaries with section_id='WEATHER' instead. The date must be in YYYY-MM-DD format.
read-only
Not tested
——
search_hotels
Searches hotels in the Hôtels Paris Rive Gauche (HPRG) group in Paris (group ID 5). Accepts an optional single hotel name or an array of hotel names; all criteria are optional and combined with AND logic. Returns hotel names, star ratings, and address details (location, coordinates, city, country, state) when available, and renders matching hotels on a map. This tool is for hotel discovery; it does not return room availability or pricing. To filter by amenity or feature (for example hotels with a spa), first call get_hotel_summaries with the relevant section_id to retrieve hotel information, then pass the matching hotel names to this tool's 'names' parameter to display them on the map.
read-only
Not tested
——
search_nearby_places
Searches for places near an HPRG hotel using Google Maps — broad nearby discovery such as restaurants, museums, shopping malls, transit hubs, parks, and hospitals. Takes a hotel name (for example 'Baume Hotel Paris') and an optional place type. Intended for general nearby places rather than ticketed tours or structured experiences. Returns the full set of results from a single search; the result set is complete as returned.
read-only
Not tested
——

Discoverability Score

Fair

58 / 100

x

How easily AI agents can find this app from its current catalog metadata.

  • Description quality
    20/20
  • Example prompts
    0/20
  • Keyword coverage
    0/15
  • Category clarity
    0/5
  • Tool metadata
    20/20
  • Visual assets
    8/20
  • Endpoint health
    10/10
  • Data freshness
    15/15

How to Improve

Add at least 2 example prompts. Prompt examples strongly improve app matching and click-through intent.

Increase keyword coverage (discovery + trigger) to improve retrieval for long-tail queries.

Choose a primary catalog category so visitors and AI agents can route this app into the right browse and recommendation surfaces.

Add at least 2 screenshots that show real workflows to increase confidence and conversion.

Read the full discoverability guide →

Technical Details

Status
ENABLED
Type
AI-Powered App
Auth
Open Access
Listed on
ChatGPT
Added
October 17, 2026
Last synced
4h ago
Last checked
3h ago
Distribution
Ecosystem Directory

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