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Independent measurements of remote MCP servers. Every observation has a timestamp.

Read-only probes

MCP server · Other

FindADoctor.si

Find US, New Zealand and France doctors by condition, procedure or place, with sources. No sign-up.

Checks passed
12 / 22

2 failed · 8 not measured

Median response
581 ms

Median of successful probes over 7 days

30-day uptime
Not measured

Share of countable probes over 30 days, including daily rollups. Auth challenges are excluded.

Discovered tools
9

Tool definitions returned by this server

Independent monitoring

Health & checks

Status history

Outdated check

Last connection measurement is over 24 hours old. Current availability is unknown.

Last checked
Check summary by test group
Test areaPassedFailedUnmeasured
ConnectionCan a client connect and discover tools?
500
Reliability & speedDoes it respond consistently and quickly?
004
Access & authenticationWhat is required to use this server?
102
Tool qualityAre the tool definitions usable by an agent?
400
Publisher identityCan the publisher be traced to its source?
222

Unmeasured means there is not enough evidence to decide. How these checks work

Inspect individual checks 22 recorded

Core

  • Pass
    Reachable

    Latest probe returned HTTP 200 in 581 ms.

  • Pass
    Valid handshake

    protocolVersion 2025-11-25, serverInfo.name findadoctor-si.

  • Pass
    Lists tools

    tools/list returned 9 tools.

  • Pass
    Current protocol

    Negotiated 2025-11-25. The bar is 2025-06-18 or newer.

  • Pass
    HTTPS

    The endpoint URL is https.

Performance

  • Not measured
    Fast (p50)

    Median latency 581 ms over 1 samples in 7 days. The bar is 1000 ms. Need at least 5 samples.

  • Not measured
    Consistent (p95)

    95th percentile 581 ms over 1 samples in 7 days. The bar is 3000 ms. Need at least 20 samples.

  • Not measured
    Reliable (uptime)

    1 of 1 attempts returned a tool list in 30 days (100%). The bar is 99%. Need at least 30 samples.

  • Not measured
    Stable tool list

    Fewer than two successful probes in 30 days, so tool-list stability is not measured.

Access

  • Pass
    Open access

    tools/list succeeded with no credential, and the record declares none.

  • Not measured
    Standard auth

    Auth is not required, so the OAuth metadata check does not apply.

  • Not measured
    Free tier cited

    No publisher quote has been checked.

Tools

  • Pass
    Tools described

    Every tool description is at least 20 characters.

  • Pass
    Valid input schemas

    Every inputSchema is a JSON Schema object.

  • Pass
    Parameters documented

    50 of 51 parameters have a description (98%). The bar is 80%.

  • Pass
    Safety hints

    Every tool sets readOnlyHint or destructiveHint.

Publisher

  • Pass
    Verified namespace

    Listed in the Official MCP Registry.

  • Fail
    Website matches publisher

    The website host does not match the reverse-domain namespace.

  • Fail
    Source repo linked

    No repository URL is on file.

  • Not measured
    Repo owner matches

    This namespace is not an io.github login, so the owner comparison does not apply.

  • Pass
    Recently updated

    Updated 2026-10-16T02:25:25.659332Z, within 180 days.

  • Not measured
    Open-source licence

    No GitHub repository to ask about a licence.

Start using FindADoctor.si

Connect to this server

Choose your client, copy the configuration, then enable the server in your client’s MCP settings.

Run this command in your terminal, then restart Claude Code.

Claude Code

claude mcp add --transport http findadoctor-si https://api.findadoctor.si/mcp

Capabilities

Tools 9

about_database

What one country's database holds: sources, dates, counts and coverage. Set country: United States (country=US), New Zealand (country=NZ), France (country=FR). United States (country=US): Sources, build date, coverage counts, scoring method and caveats. New Zealand (country=NZ): Sources, read dates, coverage counts and known gaps. Free. France (country=FR): Sources, licences, read dates, coverage counts and known gaps. Free.

Discovered
get_doctor

Evidence for doctors from search_doctors, by doctor_id. The id says the country (dr_ = United States, nz_ = New Zealand, fr_ = France), so no country parameter is needed; open one country's doctors per call. Parameters marked (US only), (NZ only) or (FR only) work for that country only. United States (dr_ ids): Evidence for doctors from search_doctors: pass doctor_ids (up to 10 at once), or one doctor_id, or an npi. Each different doctor you open counts toward a daily limit for your connection (replies show daily_doctor_limit when it matters); opening a doctor again the same day is free. Open the doctors you are seriously considering, not every result. One reply holds about 2-3 doctors (1 with detail='full'); the others come back under not_returned_yet, already counted, so call again with those doctor_ids at no extra cost. Full evidence for one doctor; use it to compare or check doctors the person names (by npi) and before recommending. Every doctor: registered specialty, practice locations with phones (phone_source), medical school, hospitals, medical group, Medicare 2024 patients and patient mix, procedure volumes with national ranks, Medicare opt-out and federal exclusion-list checks, and from official files prescribing_2024 (Medicare Part D 2024 summary and top medicines), industry_payments (2024-2025), industry_research_as_principal_investigator and mips_2024 (detail='full' returns them as one official_extras record). Any doctor whose Part D 2024 claims lean clearly toward one condition's medicines has prescribing_signals_2024 (more such patients, not quality). Doctors whose hospital system's own website was read have hospital_websites (per site: focus as standard MeSH terms, languages, education, board certifications, new-patient status, office phones and addresses, page address and date read; at some hospital systems also insurance_listed, the page's insurance list grouped by insurer, a lead to confirm). detail='full' returns every collected field. New Zealand (nz_ ids): Evidence for New Zealand doctors from search_doctors: pass doctor_ids (up to 10 at once) or one doctor_id. Each different doctor you open counts toward a daily limit for your connection (replies show daily_doctor_limit when it matters); opening a doctor again the same day is free. Open the doctors you are seriously considering, not every result. Each doctor: specialties, title, qualifications, focus areas and subspecialties they list, further training, languages, whether their services see children; every private and public service with clinic addresses, phone numbers and websites, procedures and conditions the service lists, fee categories and fee lines, ages, hours, how to get referred, and whether it says Southern Cross Affiliated Provider or nib First Choice (insurer_notes also says whether the doctor's own page says so); the Medical Council register entry (status, scope of practice, conditions, qualifications, practising certificate); experience (each vocational scope with the date it was granted and years since, first New Zealand registration, primary medical degree year, New Zealand honours with citation, University of Auckland title and hospital appointments, approximate count of papers with a New Zealand affiliation and a link to the list); hospital website links; and source links with read dates. For a GP, services include the practice's enrolment status and fee table. Profiles are not reproduced: give the person the Healthpoint link (sources.healthpoint) for the doctor's own words. France (fr_ ids): Evidence for doctors in France from search_doctors: pass doctor_ids (up to 10 at once) or one doctor_id. Each different doctor you open counts toward a daily limit for your connection (replies show daily_doctor_limit when it matters); opening a doctor again the same day is free. Open the doctors you are seriously considering, not every result. Each doctor: RPPS number (check on annuaire.sante.fr), official specialties, official extra competences and university diplomas (DU/DIU), practice modes; every practice from the RPPS register and the Ameli directory with address, phone, setting, role, fee category (Secteur 1/2, OPTAM) and hospital FINESS number; from Maiia or hospital pages when the doctor has one: stated expertise, procedures offered, hospital department and role, qualifications, languages, consultation fees, online booking, video consultations, whether online booking is open to new patients; source pages with read dates; and industry_links: Transparence Santé declarations by drug and device companies (agreements, benefits, payments) by year, company and purpose, shown as declared (licence CC BY-NC-SA 4.0; not evidence of expertise or wrongdoing). Profile text is not reproduced: give the person the source page link for the doctor's own words.

Discovered
hospital_procedure_volumes

France only. Which French hospitals and private clinics perform a procedure most, from Open CCAM (ATIH): number of acts per hospital site per year, 2021-2025, public and private. Counts hospital stays and day cases only (PMSI MCO); procedures done in a doctor's office or a hospital outpatient clinic are not counted, and a site with fewer than 11 stays for an act is not listed. procedure = English or French text ('cataract', 'knee replacement', 'prothèse genou', 'coloscopie', 'ablation fibrillation auriculaire') or CCAM codes; the reply lists the CCAM acts it added up, so check they fit the need (add-on codes and pathology are left out of text matches). For 'aneurysm' or 'stent' say where (brain, aorta, heart, carotid). place = city, postcode, Paris/Lyon/Marseille arrondissement, département number or a hospital FINESS number; without place it ranks all of France. Hospital-level only: it does not say which surgeon operates. Then use search_doctors with hospital_finess (salaried hospital doctors) or with the hospital's postcode and the specialty (self-employed surgeons at private clinics). Free.

Discovered
list_procedures

United States only. The 81 signature procedure groups with Medicare 2024 volumes and national ranks (CPT codes, common names, national median per physician).

Discovered
list_specialties

Specialty names one country's database uses. Set country: United States (country=US), New Zealand (country=NZ), France (country=FR). United States (country=US): All specialties in the database with ids, families and physician counts. New Zealand (country=NZ): Specialty names used in this database (Healthpoint categories) with doctor counts. Free. France (country=FR): Specialty names in this database (official French names from RPPS and Ameli, and English labels) with doctor counts. Free.

Discovered
lookup_terms

United States only. Check how a word is understood before searching: matching MeSH condition terms (with how many doctors' hospital-website profiles list each as a focus), procedure groups and specialties.

Discovered
public_waitlist

New Zealand only. Public-system waiting lists from Health NZ by district and specialty (latest month and the same month a year earlier): people waiting for a first specialist assessment (FSA) and for planned treatment (surgery), and the share waiting over 120 days. Use it when the person is weighing public against private, or which district is faster. Give specialty and/or district. Free.

Discovered
search_doctors

Free short list of doctors for a need in one country; use it first whenever the person needs a doctor. Set country to where the person wants to be seen: United States (country=US), New Zealand (country=NZ), France (country=FR); if that is unclear, ask them before searching. Parameters marked (US only), (NZ only) or (FR only) work for that country only. United States (country=US): Free short list of US doctors for a need; use it first whenever the person needs a US doctor: a specialist who focuses on a condition near a place (for a metro area use within_miles), who does the most of a procedure (sort='volume': Medicare 2024 counts with national and state ranks), or checking named doctors (name=...). Each result: doctor_id, name, degree, NPI, specialty (with its source) and the specialties their hospital website lists, city, state, distance_miles, warnings (federal exclusion list, Medicare opt-out, probably not a physician) and detail_has (what get_doctor adds for this doctor). With a condition or procedure, match_basis says whether the doctor has direct evidence for it (a listed focus, procedure volume or many such patients) or only a fitting specialty. Results are ranked by evidence of focus and experience for the need, not by quality or outcomes. Then call get_doctor with the doctor_ids you are considering (up to 10 at once) for the evidence. Up to 10 results per search and paging stops at 30: narrow the need or the place instead of paging. Conditions are matched to NLM MeSH terms (narrower terms and the general condition above it count too), common names such as 'afib' and clinical abbreviations such as 'CAD'; use English medical names when you can. Pass medicare_patient=true for anyone 65 or older or on Medicare. language= and accepting_new_patients=true filter by hospital-website pages, which most doctors do not have here; insurance cannot be filtered: if the person needs a specific plan, language or new-patient availability, find candidates on the web first when you can browse, then check them here by name. Read warnings. New Zealand (country=NZ): Free short list of New Zealand doctors for a need; use it first whenever the person needs a doctor or specialist in New Zealand. Give at least one of need, specialty, place or name. need = a condition, procedure or focus in plain English (e.g. 'ACL reconstruction', 'endometriosis', 'skin cancer', 'cataract surgery'); it is matched against the focus areas doctors list first, then the procedures their services list, their specialty, and their own profile text (not shown here). specialty = a name from list_specialties, a word from one (e.g. 'orthopaedic', 'ENT') or a plain word (e.g. 'eye', 'skin', 'heart'); matched word by word (word endings may differ, e.g. 'cardiologist', 'paediatrician'; not fragments inside words), and the reply's specialty_read_as lists the specialty names used. place = a New Zealand city, suburb, or region or Health NZ district (e.g. 'Christchurch', 'North Shore', 'Hawke's Bay', 'Hutt Valley'); when a town search leaves out doctors listed only on the wider region's page or in its other towns, place_note says how many and which place to use instead. Each result: doctor_id, name, specialties, vocational scope, cities, sectors (private, public), match_basis (with a need: stated_focus, services_listed (the doctor's own or a small practice's service page), shared_service_listed (a hospital department or large group page they are linked to, so not necessarily done by this doctor), specialty, specialty_for_symptom (the need is a symptom few doctors list, and their specialty usually sees it; need_note says which specialties), profile_text or partial), place_match (with a place: city_or_address, city_in_region, address_contains or region_page_only), warnings (e.g. not practising on the Medical Council register), specialist_since (year first on the Medical Council vocational, i.e. specialist, register in New Zealand), recognition (New Zealand honours, University of Auckland title), listing (medical_council_register_only when the doctor has no clinic listing here), possibly_same_person_as (another entry with the same name that may be the same doctor) and detail_has (what get_doctor adds). General practitioners are left out unless specialty is general practice (e.g. 'GP') or a name is given; to find a GP clinic use search_gp_practices. Doctors only on the register are included when practising with a specialist scope (any status with a name). Results are ranked first by how directly the doctor's own listing matches the need (doctors who list all its words; then, when the need is a symptom such as back pain, doctors whose specialty usually sees it; then doctors who list some of the words; then words only in profile text), then by place_match (with a place); with experienced_first, longer as a specialist next. Doctors known only from the Medical Council register (no clinic listing) come after all others. Not ranked by quality or outcomes. Then call get_doctor with the doctor_ids you are considering. Up to 10 results per search and paging stops at 30: narrow the need or the place instead of paging. France (country=FR): Free short list of doctors in France for a need; use it first whenever the person needs a doctor, specialist or GP in France. Give at least one of need, specialty, place, name or hospital_finess. need = condition, procedure or focus, in French or English (e.g. 'endométriose', 'prothèse genou', 'knee replacement', 'cataract'; common English words are also searched in French); matched against the expertise and procedures doctors state, their official competences and university diplomas, hospital departments and roles, and specialty. specialty = French or English (e.g. 'cardiologie', 'dermatology', 'pédiatre', 'ORL', 'GP', 'généraliste'). place = city ('Lyon', 'Paris' includes all arrondissements), postcode ('75015'), arrondissement ('Paris 15', 'Lyon 3e'), département number ('69', '2A') or a practice or hospital name; a text match on practice addresses, not a distance search. Each result: doctor_id, name, gender, specialties (French, as registered), specialties_en, places (up to 3 practices, the ones matching place first), fee_sectors (Ameli category: Secteur 1 = standard fees; Secteur 2 = may charge extra; Non conventionné = not contracted, little reimbursed), optam (agreed to limit extra fees), match_basis (with a need: stated_expertise, official_competence, hospital_department_or_training, several_fields, specialty, specialty_usually_treats, partial), register (rpps, ameli_only = only in the Assurance Maladie directory, website_only = not matched to the official registers), warnings (e.g. barred from practising) and detail_has (what get_doctor adds). With a need, results are ranked by how directly the doctor's own data matches it: all its words in the expertise or procedures the doctor states, then in official competences or university diplomas, then in hospital department, role or training, then spread over several fields, then in the specialty name; then, when the need is a condition few doctors list, doctors in the specialty that usually treats it (specialty_usually_treats); then doctors matching only some of the words. Without a need, doctors with more data (stated expertise, official competences, profile pages) come first, then in a fixed shuffled order. Not ranked by quality, outcomes, fees or industry links. Then call get_doctor with the doctor_ids you are considering. Up to 10 results per search and paging stops at 30: narrow the need or the place instead of paging.

Discovered
search_gp_practices

New Zealand only. Free list of New Zealand general practices (GP clinics), or urgent care clinics, near a place, from Healthpoint. Use it when the person needs a GP, wants to enrol with a practice, or needs urgent but not emergency care. Each practice: whether it says it is enrolling new patients (yes; restricted = only some people, e.g. family of patients or people living nearby; no; does not apply = urgent care that does not enrol; unknown = the page does not say), the practice's own enrolment note, its fee table (the first fee table on its page, usually fees for enrolled patients by age, without and with a Community Services Card; with age, the row for that age), addresses, phone numbers, website, online booking link, languages, hours, the doctors listed there (doctor_ids for get_doctor) and the date Healthpoint says the page was last updated. In New Zealand most people enrol with one general practice: visits cost less once enrolled, and a GP referral is the usual way to a public specialist. Give place or name. Practices are not doctors, so this does not count toward the daily doctor limit. Enrolment and fees change often: tell the person to phone the practice to confirm.

Discovered

Recent measurements

Probe history

View status
Latest stored probes. Raw probe rows are kept for 14 days.
CheckedResultResponseTools
Connected581 ms9