MCP server

Navmds

io.github.mattlsmith/navmds

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Research 7,400+ US doctors: search, semantic search, profiles, reviews & procedure pricing.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

12

Token cost

About 2,184 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http navmds https://www.navmds.com/api/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.navmds]
url = "https://www.navmds.com/api/mcp"

Gemini CLI

{"mcpServers":{"navmds":{"httpUrl":"https://www.navmds.com/api/mcp"}}}

Cursor

{"mcpServers":{"navmds":{"url":"https://www.navmds.com/api/mcp"}}}

VS Code

{"servers":{"navmds":{"type":"http","url":"https://www.navmds.com/api/mcp"}}}

Antigravity

agy mcp add navmds https://www.navmds.com/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"navmds","server_url":"https://www.navmds.com/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"navmds","server_url":"https://www.navmds.com/api/mcp"}

Tools

• fetch ~116 tokens
  Retrieve a full doctor profile by id (the slug returned from `search`). Returns {id, title, text, url, metadata}. (OpenAI connector-compatible.)
• find_local_specialists ~298 tokens
  Return NavMDs' curated city guide for a procedure: the ranked specialists (the city's OWN doctors first, then the nearest within an adaptive radius), the typical local price range, the average rating, the share offering free consultations, and the canonical navmds.com page URL to cite. This is the b
• get_community_thread ~211 tokens
  Fetch a complete NavMDs community thread by id (the id returned by search_community, or the trailing number of a community.navmds.com/t/<slug>/<id> URL) — the original question plus every reply, in order. Use after search_community when you need the actual answers rather than an excerpt. Community p
• get_doctor ~152 tokens
  Fetch a doctor's complete NavMDs profile by slug (the id returned by the search tools, or the last path segment of a navmds.com/doctor/<slug> URL). Returns specialty, locations, ratings, overview, procedures, pricing, consultation fee, FAQ and verification status.
• get_doctor_reviews ~120 tokens
  Return published (moderation-approved) patient reviews for a doctor by slug.
• get_procedure_costs ~175 tokens
  Aggregate what a procedure costs across NavMDs doctors — combining patient-reported costs and practice-website pricing. Optionally narrow to a state/city. Returns min/median/max/average plus sample practice quotes.
• list_locations ~135 tokens
  List states/cities where NavMDs has doctors, with doctor counts. Useful for grounding a location filter.
• list_procedures ~119 tokens
  List the procedures/specialties covered by NavMDs, with the number of doctors for each. Useful for grounding a search.
• search ~122 tokens
  Search NavMDs doctors by free-text query. Returns a list of {id, title, url} results. Pass an id to the `fetch` tool to retrieve the full profile. (OpenAI connector-compatible.)
• search_community ~282 tokens
  Search patient discussion threads on community.navmds.com — the NavMDs forum where people discuss recovery timelines, what procedures actually cost them, choosing a surgeon, and what to expect. Use this for lived-experience questions ('what is rhinoplasty recovery like', 'how much did people actuall
• search_doctors ~256 tokens
  Find doctors by procedure/specialty, optionally filtered by US state and city. Uses NavMDs' pre-computed search index (fast, ranked by rating + review volume). Use this when you have a concrete procedure (e.g. 'rhinoplasty', 'botox', 'tummy tuck'). For open-ended natural-language queries, use semant
• semantic_search_doctors ~198 tokens
  Search NavMDs' 7,400+ doctor directory with a natural-language query, e.g. 'board-certified facelift surgeon in Los Angeles with great reviews and free consults'. Powered by Gemini embeddings + cosine similarity over full doctor profiles. Best tool for open-ended or multi-attribute questions.

Browse

• GitHub tools
• GitHub and code hosting
• Searching your documents (RAG)
• Calling other AI models
• Health and medicine

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