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Find doctors and specialists in the Greater Toronto Area MCP Server

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answering

Find doctors and specialists in the Greater Toronto Area is answering right now. Last checked 13 min ago. 60 installs a week from npm.

GTA doctor, specialist, clinic, language, availability, and freshness data through REST and MCP.

The linked repository no longer exists on GitHub — it was deleted or made private.

Installs per day peak 39 · avg 9 · -62% w/w
a month agotoday
Uptime history 85 days of history · worst day 37%
85 days agonow
100.0%
Uptime 24h
91 of 91 checks
—
Tools
hidden behind auth
368 ms
Response time
average over 24h
60
Installs / week
npm and PyPI

This one has been quiet for a while

Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 13 min ago.

run in your terminal
claude mcp add finddoc --transport http https://www.finddoc.ca/mcp
Settings → Connectors → Add custom connector, then paste this address
https://www.finddoc.ca/mcp
~/.codex/config.toml
[mcp_servers.finddoc]
url = "https://www.finddoc.ca/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "finddoc": {
      "url": "https://www.finddoc.ca/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "finddoc": {
      "type": "http",
      "url": "https://www.finddoc.ca/mcp"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URLTransportStateLatencyChecked
https://www.finddoc.ca/mcp streamable-http sign-in 448 ms 13 min ago

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Find doctors and specialists in the Greater Toronto Area — questions

Answers built from our own checks of this server.

Why is there no tool list for Find doctors and specialists in the Greater Toronto Area?
The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.
Is Find doctors and specialists in the Greater Toronto Area working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 368 ms. The bar chart above shows every period we have measured.
Is Find doctors and specialists in the Greater Toronto Area still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect Find doctors and specialists in the Greater Toronto Area?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.
How do you sign in to Find doctors and specialists in the Greater Toronto Area?
No API key is involved. Find doctors and specialists in the Greater Toronto Area answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.
How fast is Find doctors and specialists in the Greater Toronto Area?
It answers our handshake in 368 ms on average, which is faster than 36% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use Find doctors and specialists in the Greater Toronto Area?
The npm package @find-doc/finddoc-mcp was installed 60 times in the last week. Week over week that is -62%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.