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Uphealth Signal MCP Server

answering

Uphealth Signal is answering right now. Last checked 7 min ago. 64 installs a week from npm. It exposes 5 tools.

The adaptive health-messaging engine for apps and agents. Federally-sourced. Not medical advice.

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

Installs per day peak 45 · avg 7 · -34% w/w
a month agotoday
Uptime history 91 days of history
91 days agonow
100.0%
Uptime 24h
91 of 91 checks
5
Tools
read from the server
576 ms
Response time
average over 24h
64
Installs / week
npm and PyPI

What changed 2

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 24 August 2026. No other catalogue keeps this.

3 Sep a tool changed version
24 Aug a tool changed version

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 7 min ago.

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

Available tools 5

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

lookup
lookup_health_fact
Zero setup — NO key required. Returns ONE already-public federal health fact, list, or tip for a question or topic (e.g. "high blood pressure", "sleep", "type 2 diabetes"), with its federal source (CDC / MedlinePlus / NIH) and a link to the public uphealth.me page. Free + rate-limited. For adaptive, patient-specific message sequencing — receptivity-scored cues + audience-safety verdicts over the full library of federally-sourced facts, lists & tips — get a free Discovery key at https://uphealth.us/signup
next
get_next_cued_message
Submit the patient's response to the prior cue and get the next one — federally-sourced, audience-safety-checked, and re-sequenced on that feedback. REFUSES WITHOUT PRIOR-MESSAGE FEEDBACK (the moat): the engine will not advance a stream blind, returning 409 if you skip it. response_action is one of the accepted cue vocabulary (see the signal://catalog resource). Same idempotency_key + same feedback returns the cached cue; conflicting feedback under the same key returns 409.
patient
create_patient_stream
Create a Signal cued stream for one patient and get the first cue back synchronously. Every cue is federally-sourced, audience-safety-checked, and sequenced on the patient's prior response — so your agent never fabricates health content. Choose a template_id from the signal://catalog resource and pre-satisfy its required audience_tags + patient_context (clinical templates 422 without them). Display mode renders in your app: no PHI, no BAA. Each later cue MUST submit the prior message's feedback — the engine refuses to advance without it (the sequencing moat).
sandbox
list_sandbox_topics
List the curated sandbox topic labels that define the free Discovery corpus — every topic federally-sourced and audience-safety-checked. Use it to preview what content domains exist before creating a stream. Does NOT enumerate messages — the corpus stays internal. For the full live template catalog + gating contract, read the signal://catalog resource.
stream
read_stream_state
Read a stream's current state, its current cued message, and event count. Read-only — does NOT advance the stream or consume a cue. Use it between feedback turns to inspect where a patient is in their federally-sourced, audience-safety-checked sequence.

Endpoints

URLTransportStateLatencyChecked
https://mcp.uphealth.us/mcp streamable-http answering 586 ms 7 min ago

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Uphealth Signal — questions

Answers built from our own checks of this server.

What can Uphealth Signal do?
It exposes 5 tools, read directly from the server on our last check. Among them: create_patient_stream, get_next_cued_message, list_sandbox_topics, lookup_health_fact, read_stream_state. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Uphealth Signal 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 576 ms. The bar chart above shows every period we have measured.
Is Uphealth Signal 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 Uphealth Signal?
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.
Does Uphealth Signal need an API key?
No. Uphealth Signal completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Uphealth Signal?
It answers our handshake in 576 ms on average, which is faster than 19% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use Uphealth Signal?
The npm package @uphealth/mcp-server was installed 64 times in the last week. Week over week that is -34%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.