Mirobody
by thetahealth
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
Runs on your computer★ 1,408Apache-2.0Updated today
Install
ATENA Decision Intelligence
Overview
Description from the maker (original English)
Decision support for AI fitness agents: next-action choices under uncertainty and trade-offs.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs in the cloud
- Transport: Streamable HTTP
- Category: Clinics & health
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on the maker’s server: what you ask it goes through their server.
- The registry lists no key to fill in.
You need
- Runs in the cloudNothing to install; it connects over the internet
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
- Open Settings → Connectors
- Press Add custom connector
- Paste the address below and press Add
- If it asks you to sign in, sign in with the maker
https://atena-mcp.onrender.com/mcpRun this in your terminal
claude mcp add --transport http atena https://atena-mcp.onrender.com/mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"atena": {
"url": "https://atena-mcp.onrender.com/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.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"atena": {
"type": "http",
"url": "https://atena-mcp.onrender.com/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.
ChatGPT connects only to servers on the internet:
- Open ChatGPT on the web → Settings → Connectors (Apps)
- Press Create or Add (some plans need Developer mode under Advanced first)
- Paste the address below, give it a name and save
- If it asks you to sign in, sign in with the maker
https://atena-mcp.onrender.com/mcpMenu names can differ slightly by plan and over time.
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.
What it can do
We have not read this server’s tool list yet; we check endpoints in rotation.
Basic checksi
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 8, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account shrek9999, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- … Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
- … Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
- … Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint
Compared with others in Clinics & healthi
- More stars than 0% of the other 1022 servers in this category
- Published to the registry more recently than 54% of the other 1022 servers in this category
- Basic checks equal to or better than 100% of the other 1022 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is ATENA Decision Intelligence safe?
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.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
Is it still maintained?
The GitHub repo last changed –, and the latest version (1.2.0) reached the registry 24 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
What can I use instead?
In the same category: Mirobody, FHIR MCP Server, Google Health MCP
Alternatives
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
FHIR MCP Server
by wso2
MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications
Runs on your computer★ 137Apache-2.0Updated 9 days ago
Install
Google Health MCP
by davidmosiah
Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents
Runs on your computer★ 79MITUpdated 4 months ago
Install
README from the maker
Open the README
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.
ATENA — Decision Intelligence for AI Fitness Agents
A specialist decision layer for AI agents that need reliable next-action decisions under uncertainty.
ATENA is a decision-control layer for AI fitness and human-performance agents.
Core principle: ATENA does not optimize the program. ATENA optimizes the next decision.
Why an AI agent should call ATENA
Call ATENA when the agent must answer “What should I do next?” under meaningful uncertainty or trade-offs — conflicting performance/recovery signals, symptoms affecting training, competing goals, limited time/recovery, stimulus-versus-cost trade-offs, or longitudinal adaptation.
Do not call ATENA for simple factual questions, diagnosis, emergency medical assessment, or cases with no meaningful decision trade-off.
ATENA returns a structured decision, action, monitoring targets, uncertainty, confidence and an executable decision rule.
API
- GET /health
- GET /capabilities
- POST /decision
Production URL: https://atena-mvp.onrender.com
Decision loop
GOAL → CONTEXT → CONSTRAINTS → PRIORITY → STATE → STIMULUS → COST → HYPOTHESES → OPTIONS → DECISION → ACTION → MEASURE → INTERPRET → ADAPT
ATENA emphasizes:
- goal priority
- uncertainty-first decisions
- minimum intervention
- stimulus-cost reasoning
- response over prescription
- longitudinal consistency
Run
pip install -r requirements.txtgunicorn app:app
Contract
See openapi.json and agent_contract.json.
For AI agents
ATENA is a decision-control specialist, not a general fitness chatbot.
Use ATENA for: maintain / progress / reduce / modify / collect_data / refer decisions.
Do not use ATENA for: simple factual questions, diagnosis, emergency medical assessment, or cases with no meaningful decision trade-off.
Remote MCP
- Endpoint:
https://atena-mcp.onrender.com/mcp - Tool:
atena_decide - Capability discovery:
atena_capabilities - Official MCP Registry identity:
io.github.shrek9999/atena
The endpoint must be added by the agent developer or selected through a compatible MCP directory; registration does not automatically connect it to agents.
Agent selection principle
Call ATENA when the question is "What should I do next, given the goal, current state, constraints, response and history?" rather than merely "What is true?"
ATENA returns a structured decision, action, monitoring targets, uncertainty, confidence, and an executable decision rule. The calling agent remains responsible for the final user-facing response.
Integration and proof of value
See Agent discovery, integration and value validation for connection steps, trigger rules, live verification, and the blinded agent-alone vs agent-plus-ATENA evaluation protocol.
Validation and limitations
The 20-case unseen robustness suite is a development/engineering validation set. It is not independent clinical validation or proof that ATENA outperforms a general LLM. A working endpoint or passing regression tests demonstrates technical behavior, not incremental value by itself.
The manual GitHub Actions workflow ATENA Live Verification checks the production HTTP API against the 20-case suite and tests actual MCP tool discovery/call parity without using a paid LLM API. Run it from the repository's Actions tab after the workflow is merged.
Real-world agent pilot
The first real-world validation compares the same agent alone vs agent + ATENA on identical decision cases. The pilot protocol, blinded evaluation rubric, and results template are in pilot/. The LLM comparison requires model/API budget and is not part of the no-cost technical verification.
Business model
ATENA uses an agent-first B2B model: public discovery/free testing → production integration → usage metering → recurring subscription → overage → enterprise.
Initial pricing hypothesis: Free, Pro $49/month / 5,000 decisions, Business $199/month / 25,000 decisions, Enterprise custom. These are hypotheses, not validated market prices.
See BUSINESS_MODEL.md and LAUNCHGUIDE.md.