Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
Descripción del creador (original en inglés)
Read-first MCP server for Twilio Segment: routing, stale sources, delivery health, governance.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
SEGMENT_API_TOKEN, SEGMENT_REGION, SEGMENT_MCP_MODE, SEGMENT_PROFILE_TOKEN, SEGMENT_PROFILE_SPACE_IDLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en 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"
}
}
}
}Ejecuta esto en tu 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-mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.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"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"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"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
SEGMENT_MCP_MODE envSEGMENT_PROFILE_TOKEN envSEGMENT_PROFILE_SPACE_ID envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub katekruger, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: SEGMENT_API_TOKEN, SEGMENT_REGION
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.1.2) llegó al registro hace 2 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
En la misma categoría: Mirobody, FHIR MCP Server, Google Health MCP
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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
Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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.