MCP server

Uphealth Signal Official

us.uphealth/mcp

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

uphealth.us (verified by the MCP Registry)

Status

Working at last check

Tools

5

Token cost

About 1,452 tokens per request

Sets up in

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

Last checked

28 Oct 2026, 09:03 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 uphealth https://mcp.uphealth.us/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.uphealth]
url = "https://mcp.uphealth.us/mcp"

Gemini CLI

{"mcpServers":{"uphealth":{"httpUrl":"https://mcp.uphealth.us/mcp"}}}

Cursor

{"mcpServers":{"uphealth":{"url":"https://mcp.uphealth.us/mcp"}}}

VS Code

{"servers":{"uphealth":{"type":"http","url":"https://mcp.uphealth.us/mcp"}}}

Antigravity

agy mcp add uphealth https://mcp.uphealth.us/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":"uphealth","server_url":"https://mcp.uphealth.us/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"uphealth","server_url":"https://mcp.uphealth.us/mcp"}

Tools

• create_patient_stream ~604 tokens
  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 pr
• get_next_cued_message ~344 tokens
  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
• list_sandbox_topics ~137 tokens
  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
• lookup_health_fact ~225 tokens
  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,
• read_stream_state ~142 tokens
  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.

Browse

• Running code
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