Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
Description from the maker (original English)
Read-first MCP server for Twilio Segment: routing, stale sources, delivery health, governance.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
SEGMENT_API_TOKEN, SEGMENT_REGION, SEGMENT_MCP_MODE, SEGMENT_PROFILE_TOKEN, SEGMENT_PROFILE_SPACE_IDValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"segment": {
"command": "uvx",
"args": [
"segment-mcp"
],
"env": {
"SEGMENT_API_TOKEN": "your-value",
"SEGMENT_REGION": "your-value",
"SEGMENT_MCP_MODE": "your-value",
"SEGMENT_PROFILE_TOKEN": "your-value",
"SEGMENT_PROFILE_SPACE_ID": "your-value"
}
}
}
}Run this in your terminal
claude mcp add segment --env SEGMENT_API_TOKEN=your-value --env SEGMENT_REGION=your-value --env SEGMENT_MCP_MODE=your-value --env SEGMENT_PROFILE_TOKEN=your-value --env SEGMENT_PROFILE_SPACE_ID=your-value -- uvx segment-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"segment": {
"command": "uvx",
"args": [
"segment-mcp"
],
"env": {
"SEGMENT_API_TOKEN": "your-value",
"SEGMENT_REGION": "your-value",
"SEGMENT_MCP_MODE": "your-value",
"SEGMENT_PROFILE_TOKEN": "your-value",
"SEGMENT_PROFILE_SPACE_ID": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"segment": {
"type": "stdio",
"command": "uvx",
"args": [
"segment-mcp"
],
"env": {
"SEGMENT_API_TOKEN": "your-value",
"SEGMENT_REGION": "your-value",
"SEGMENT_MCP_MODE": "your-value",
"SEGMENT_PROFILE_TOKEN": "your-value",
"SEGMENT_PROFILE_SPACE_ID": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
SEGMENT_MCP_MODE envSEGMENT_PROFILE_TOKEN envSEGMENT_PROFILE_SPACE_ID envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account katekruger, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: SEGMENT_API_TOKEN, SEGMENT_REGION
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Mirobody, FHIR MCP Server, Google Health MCP
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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications
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Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
A read-first MCP server for Twilio Segment. Answers which destinations get which events, which sources are dead, and which are governed by nothing — the questions nobody can answer without clicking through forty screens.
SEGMENT_MCP_MODE defaults to read, and every tool this server ships today is a read. Shipping with zero write tools is a feature, not a limitation — see BUILD-PLAN.md §2. write and admin modes exist in the tier model (src/segment_mcp/modes.py) for when gated writes land; right now there is nothing for them to unlock.
POST /regulations and POST /regulations/sources/{id} — workspace-scoped, irreversible deletion or suppression of user data across every source — are unreachable in every mode, with no configuration path to enable them. Three independent things enforce this: the mode-authorization layer refuses it before even checking the current mode, the API client refuses to send the request before it reaches the network, and no tool this server registers references it in any form.
This isn't a gate waiting for the right permission level. It's a line, because these endpoints accept an array of subjects and one malformed or hallucinated call can permanently delete thousands of profiles with no undo. Full reasoning: [docs/what-this-refuses-to-do.md](docs/what-this-refuses-to-do.md).
Requires a Segment workspace on Team or Business tier and a Public API token (see Prerequisites below).
gh repo clone katekruger/segment-mcp
cd segment-mcp uv sync cp .env.example .env # fill in SEGMENT_API_TOKEN and SEGMENT_REGION uv run segment-mcp
Point an MCP client (Claude Desktop, Claude Code, etc.) at it over stdio. The server refuses to start — loudly, with a clear message — if the token, region, or workspace tier isn't right; see Startup checks.
Each composes several Public API calls into one structured answer, not a raw endpoint dump:
| Tool | Question it answers |
|---|---|
audit_event_routing | Which destinations get which events? |
trace_event | Given an event name: where does it go, and is it governed by anything? |
find_stale_sources | Which sources have no recent data — dead instrumentation vs. simply new? |
check_delivery_health | Is this destination silently failing? |
find_ungoverned_sources | Which sources are governed by nothing, or allowing unplanned events through? |
SEGMENT_REGION=us # or eu
There is no default — you must set this explicitly. An EU workspace whose API calls are pointed at the US endpoint doesn't error; it just silently returns nothing, which is a far worse failure mode than a crash. This server's startup checks call the API once with your configured region and fail loudly if the token doesn't actually belong to it, naming the region that does.
All fatal — the server refuses to start rather than fail confusingly on the first tool call:
SEGMENT_REGION is set and one of us/eu.SEGMENT_API_TOKEN is present and actually authenticates against that region.SEGMENT_MCP_MODE = read (default) | write | admin
confirm=true.See src/segment_mcp/modes.py for the full tier model and docs/what-this-refuses-to-do.md for what stays out of scope regardless of mode.
The Profile API returns PII on named individuals — traits, external IDs, event history, and identity links for a specific person. This is the most privacy-sensitive read anywhere in this server's surface, so it is walled off from everything else:
SEGMENT_PROFILE_TOKEN — never the main SEGMENT_API_TOKEN. Also requires SEGMENT_PROFILE_SPACE_ID (your Unify Space ID, not your workspace ID).SEGMENT_PROFILE_TOKEN is unset, no profile tool is registered — the capability doesn't exist for that server instance.client/profile_api.py's segment_mcp.profile_api logger. The log records *that* a lookup happened and *which* profile, as a truncated SHA-256 digest of the lookup key, never the raw identifier — this client never logs the raw identifier itself, and it silences httpx's own request-URL log process-wide at construction so the identifier doesn't leak that way either, since the Profile API puts it in the URL path. The digest cannot be reversed back to the identifier, but repeated lookups of the same profile are still correlatable across log lines for auditing.No profile-lookup MCP tool is wired into server.py yet — this is the client and trust-boundary machinery a future tool will be built on, per BUILD-PLAN.md's v0.2 scope.
uv sync
uv run pre-commit install uv run ruff check . && uv run ruff format --check . && uv run pyright && uv run pytest
See CONTRIBUTING.md and AGENTS.md.
Every project here shares one idea: a GTM system should refuse to act on data it cannot verify.
campaign-preflight — the same refusal to coerce missing evidence into a pass. insufficient_data is its own state in both.
pipeline-waterfall — downstream of this. Reconciles the bookings and pipeline waterfall, and fails the build rather than reporting a bridge that does not tie out.
MIT — see LICENSE.