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PopNx MCPMCP servers for people who use AI · explained in plain words

Agent Daily

by gregpunchversion 0.3.0i★ –iRuns in the cloud
Registry nameio.github.gregpunch/agent-daily

Install

Overview

Description from the maker (original English)

Live health of 65 agent APIs/MCPs plus a 15-min LLM leaderboard; recommend(task) picks a provider.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

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

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:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://agent-daily.agentdaily.workers.dev/mcp

Run this in your terminal

claude mcp add --transport http agent-daily https://agent-daily.agentdaily.workers.dev/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agent-daily": {
      "url": "https://agent-daily.agentdaily.workers.dev/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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agent-daily": {
      "type": "http",
      "url": "https://agent-daily.agentdaily.workers.dev/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:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://agent-daily.agentdaily.workers.dev/mcp

Menu 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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account gregpunch, 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 866 servers in this category
  • Published to the registry more recently than 69% of the other 866 servers in this category
  • Basic checks equal to or better than 100% of the other 866 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 Agent Daily 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 (0.3.0) reached the registry 11 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

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 5 days ago
Install

MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications

Runs on your computer★ 137Apache-2.0Updated 8 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.

Agent Daily: is this tool up right now?

A free, hourly reliability index for the APIs and MCP servers AI agents call: 65 providers across LLMs, search, scraping, email, vector DBs, voice, payments, messaging, maps, CRM, storage and public remote MCP servers, with 7-day uptime, p50/p95 latency and incident history.

Built for agent builders. Check before your agent calls a tool, fall back when a tool is down, and stop burning retries on outages.

  • Status page: https://gregpunch.github.io/agent-daily/
  • Machine-readable: https://gregpunch.github.io/agent-daily/status.json
  • Agent guide: https://gregpunch.github.io/agent-daily/llms.txt
  • MCP server (no key): https://agent-daily.agentdaily.workers.dev/mcp, with tools list_tools, tool_status
claude mcp add --transport http agent-daily https://agent-daily.agentdaily.workers.dev/mcp

Consume status.json

import requests

s = requests.get("https://gregpunch.github.io/agent-daily/status.json", timeout=5).json() tool = next(t for t in s["tools"] if t["name"] == "OpenAI API") if not tool["up"] or tool["vendor_status"] in ("major", "critical"): ... # route to a fallback provider

Fields: `schema_version`, `generated_at` (UTC), `summary.{up,total}`, and `tools[]` with `name, category, up, http_status, latency_ms, vendor_status, uptime_24h_pct, checks_24h, error`. Data is refreshed hourly; treat it as stale if older than about 2h. Please cache.

Limits: these are reachability checks only (an expected HTTP code), not correctness or quality tests. There is a single probe location.

A free public status page for 65 tools AI agents depend on. This is Phase 1, a two-week validation.

Run locally

python3 check.py   # probe all tools -> results.db (SQLite)

python3 build.py # render site/index.html

Files: `tools.json` (config), `tools.md` (list + method), `check.py`, `build.py`, `site/` (static output), `preview.png`.

Deploy plan (free tiers)

Recommended: GitHub Actions + GitHub Pages ($0).

  1. Push this folder to a public GitHub repo.
  2. Add .github/workflows/check.yml with schedule: cron: "0 * * * *" (hourly). Steps: checkout, pip install requests, python check.py && python build.py, commit results.db back (or store it as an artifact), then deploy site/ with actions/deploy-pages.
  3. Turn on Pages (source: GitHub Actions). Public repos get unlimited Actions minutes.

Alternative: Cloudflare Worker cron + D1 + Pages ($0). Port check.py to a Worker scheduled() handler (free tier: 100k requests/day, cron triggers included). Store rows in D1 (free 5 GB), and render the page or serve JSON from the Worker or Pages. This option is the better base for the paid MCP/API later.

Estimated monthly cost

ItemCost
GitHub Actions + Pages (public repo) or Cloudflare free tier$0
Domain (optional, e.g. agentdaily.dev)~$1–1.25/mo ($12–15/yr)
Paid-API functional tests (Phase 2 only)$0 now; cap $30–50
Phase 1 total$0–2/mo

MCP server (mcp-worker/)

This is a stateless, read-only MCP server on a Cloudflare Worker. It uses Streamable HTTP at /mcp and offers two tools: list_tools(category?) and tool_status(name). Both read status.json with a 5-minute cache. It also serves /.well-known/mcp/server-card.json.

cd mcp-worker && npm install && npx wrangler dev   # local

npm test # MCP SDK client check against localhost:8787 npx wrangler deploy # needs CLOUDFLARE_API_TOKEN + CLOUDFLARE_ACCOUNT_ID

MCP tools (v0.2.0)

Remote endpoint: https://agent-daily.agentdaily.workers.dev/mcp (Streamable HTTP, no auth, read-only)

  • recommend(task): maps a phrase or category ("send email", "web search", "llm", "scrape a page") to a category and returns the healthiest provider plus 1-2 fallbacks, with reasons and freshness.
  • incidents(name?, days=7): outages and vendor incidents with UTC start/end.
  • list_tools(category?): matches either category or routing task.
  • tool_status(name): full record, including 7-day uptime and p50/p95.

Data: status.json (current + 7d stats) and history.json (incidents), both regenerated hourly.

LLM Live Probe (v0.3.0)

  • Leaderboard: https://gregpunch.github.io/agent-daily/llm/
  • Methods: https://gregpunch.github.io/agent-daily/llm/methods.html
  • JSON: https://gregpunch.github.io/agent-daily/llm/leaderboard.json
  • MCP: llm_leaderboard(sort?) at https://agent-daily.agentdaily.workers.dev/mcp

https://gregpunch.github.io/agent-daily/llm/: every 15 minutes ~20 popular models (via OpenRouter, plus optional direct OpenAI/Anthropic/Gemini control checks) get "Reply with exactly the word pong". Leaderboard (score = 60% 24h correctness + 40% speed), per-model detail pages and a methods page. Data: llm/leaderboard.json, llm/models/ .json. MCP tool: llm_leaderboard(sort?). Probing skips cleanly when no keys are set; spend is capped at $2.50/30 days in llm/models.json.

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