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-only fleet visibility: endpoint agents, health samples, alerts and org summaries.
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.
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": {
"fleetwatch": {
"command": "npx",
"args": [
"-y",
"@reneturcios/fleetwatch",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add fleetwatch -- npx -y @reneturcios/fleetwatch mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"fleetwatch": {
"command": "npx",
"args": [
"-y",
"@reneturcios/fleetwatch",
"mcp"
]
}
}
}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": {
"fleetwatch": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/fleetwatch",
"mcp"
]
}
}
}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.
These 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 6, 2026
The registry name was verified with the GitHub account CloudCorpRecords, 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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 (0.1.0) reached the registry 2 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
In the same category: Mirobody, FHIR MCP Server, Google Health MCP
Servers in the same category from other makers, sorted by stars.
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
Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents
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.
fleetwatch is a small local bridge to ET Ducky's hosted MCP server, which watches over an organisation's fleet of endpoint agents — the Windows and Linux machines running the ET Ducky agent — and reports who is online, how each machine's health looks, and which alerts are open.
The bridge keeps no fleet data and runs no checks of its own. It serves the upstream server's tool list locally, exactly as captured from the live endpoint, and forwards each tool call upstream, returning the result untouched. The whole captured surface is read-only: this rebuild adds no write capability.
list_agents — enumerate the organisation's agents with OS, agent version, online state, last heartbeat, last signed-in user, isolation state and tags, sorted by hostname. All arguments are filters: search (a case-insensitive part of the hostname), os (windows, linux or other), online (true for agents with a heartbeat in the last 5 minutes), tag (one exact tag name), and limit (1-500, default 100).get_agent — one agent in full: its latest health sample (CPU, memory, free space on C:, uptime, pending reboot, make and model) and its count of active alerts. Required: agent_id, the id from list_agents.list_alerts — alerts raised for the organisation's agents, newest first. Optional: status (active, acknowledged, resolved, auto_resolved, suppressed or any; defaults to active), severity (for example critical or warning), agent_id to scope to one machine, since_hours (1-720, default 168 — seven days) and limit (1-500, default 100).get_fleet_summary — the organisation at a glance: agent counts, online and offline, the Windows / Linux / other OS split, isolated agents, and active alerts by severity. No arguments.ETDUCKY_MCP_URL (optional) — override the upstream endpoint. Defaults to https://etducky.com/api/mcp. (The override hook is this rebuild's own labelled reconstruction.)ETDUCKY_API_KEY (optional) — when set, every upstream request carries an Authorization: Bearer header. When it is not set, no auth header is sent. (This forwarding is also a labelled reconstruction; the original surface was captured keyless.)On the first tool call the client opens a streamable HTTP session with the upstream: a JSON-RPC initialize request (protocolVersion 2025-03-26, clientInfo name fleetwatch), then a notifications/initialized notification, then the tools/call request carrying the caller's arguments unchanged. When the upstream answers initialize with an Mcp-Session-Id header, that value rides on every later request of the session, which is reused for the life of the process. Replies may arrive as plain JSON or as server-sent events; both are read.
Successful upstream results pass through verbatim, including any isError flag the upstream sets. Failures — a JSON-RPC error, a non-2xx status, an unreadable response, or a request that cannot be completed — come back as an isError result whose text starts with fleetwatch error: (this rendering is this rebuild's own labelled reconstruction).
Each tool is also a subcommand taking one JSON argument string (omit it for tools that take none):
npx @reneturcios/fleetwatch list_agents '{"os":"windows","online":true}'
npx @reneturcios/fleetwatch get_agent '{"agent_id":"agent-42"}' npx @reneturcios/fleetwatch get_fleet_summary npx @reneturcios/fleetwatch --version
Exit codes: 0 on success, 1 on an isError result, 2 on a usage error.
npx -y @reneturcios/fleetwatch mcp
MCP client config:
{
"mcpServers": { "fleetwatch": { "command": "npx", "args": ["-y", "@reneturcios/fleetwatch", "mcp"] } } }
docker run -i ghcr.io/cloudcorprecords/fleetwatch
docker run --rm ghcr.io/cloudcorprecords/fleetwatch --version
The container's default command is mcp, so the first form is a stdio MCP server; any other arguments reach the CLI normally.
npm install
npm run build npm test npm run dev
The test suite runs entirely against a stubbed JSON-RPC upstream — no live network calls.
MIT — see LICENSE.