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Doctolib MCP

Doctolib MCP

by arvernesmotion
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Python
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.1/5.0

    Scored across 21 tools

    Disambiguation3/5

    Most tools are distinguishable, but availability retrieval is split across search_practitioners, find_slots, get_availabilities, and search_availabilities, which an agent could easily confuse. Location resolution also overlaps across autocomplete, place_autocomplete, search_city, and geocode_address, though the descriptions provide useful distinctions.

    Naming Consistency4/5

    Tool names are consistently snake_case and mostly readable. However, the set mixes verb-led names (list_specialities, search_practitioners, get_availabilities) with noun-led names (practitioner_booking_info, sitemap), so it is not a perfect verb_noun pattern throughout.

    Tool Count3/5

    With 21 tools, the surface is on the heavy side for a Doctolib search and booking assistant. Many functions are justified, but some availability and location tools could potentially be consolidated or nested.

    Completeness4/5

    The server covers specialty lookup, location resolution, practitioner search, practical details, availability retrieval, booking links, watches, and notifications. The main gap is that it does not actually create, modify, or cancel appointments, but this may be intentional because booking is handled through the external Doctolib tunnel.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources