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

MetaMesh-UGA

by SiouxTXTversion 2.0.3i★ –iRuns in the cloud
Registry namedev.metamesh-uga/metamesh-uga

Install

Overview

Description from the maker (original English)

Serverless edge control plane to discover, route and monetize 14,982+ MCP tools.

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.

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://api.metamesh-uga.dev/mcp

Run this in your terminal

claude mcp add --transport http metamesh-uga https://api.metamesh-uga.dev/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "metamesh-uga": {
      "url": "https://api.metamesh-uga.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": {
    "metamesh-uga": {
      "type": "http",
      "url": "https://api.metamesh-uga.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://api.metamesh-uga.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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain metamesh-uga.dev (the registry checks domain ownership)

  • … 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 Otheri

  • More stars than 0% of the other 32505 servers in this category
  • Published to the registry more recently than 16% of the other 32505 servers in this category
  • Basic checks equal to or better than 100% of the other 32505 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 MetaMesh-UGA 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 (2.0.3) reached the registry 4 months 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: Spec Driven Development, Remote Desktop Commander, topo^alpin

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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topo^alpin

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Avalanche bulletins and mountain weather forecasts for any place in the Alps.

Runs in the cloudUpdated today
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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.

MetaMesh-UGA

The MCP Operating System — A Serverless Control Plane for AI Agents and MCP Infrastructure

Set & Forget | Zero Infrastructure | Serverless | Edge Native | MCP Operating System

Live Status

  • Gateway: https://api.metamesh-uga.dev — operational
  • Dashboard: https://dashboard.metamesh-uga.dev
  • MCP endpoint: https://api.metamesh-uga.dev/mcp (JSON-RPC over HTTP)
  • MCP Registry: dev.metamesh-uga/metamesh-uga v2.0.0 — published & latest
  • Tools indexed: 13,000+ MCP servers, synced every 6h from the official MCP registry
  • Stripe billing: LIVE — agents top up a USD balance and are charged per call
  • x402 payments: implemented; activation gated by wallet config (see /v1/x402/info)

MetaMesh-UGA is the MCP Operating System: a serverless, edge-native control plane that discovers, verifies, scores, routes, monitors and scales MCP servers behind a single endpoint.

It combines registry sync, semantic discovery, trust scoring, policy enforcement, security scanning, lifecycle management, smart routing, multi-level caching, reliability patterns, self-healing and real-time analytics to make MCP infrastructure production-ready for AI agents.

Connect in seconds: point any MCP client (Claude, Windsurf, Cursor, Antigravity) at https://api.metamesh-uga.dev/mcp, or register an agent for a programmatic API key. Either way you gain access to a curated, trusted, and benchmarked catalog of MCP servers.

🚀 Caratteristiche

  • MCP Operating System: Control Plane + Data Plane per gestire l'intero ecosistema MCP
  • Unified Registry: Single source of truth con federation, mirroring e snapshot
  • Smart Discovery: Keyword, semantic search, capability graph e intent-based discovery
  • Trust Engine: Reputation score basato su uptime, latenza, success rate e security
  • Smart Routing: Weighted, latency, geographic, cost e health-based routing
  • Reliability Layer: Circuit breaker, retry, bulkhead, hedging e fallback
  • Multi-level Cache: In-memory L1 + KV L2, TTL, pattern invalidation
  • Security Fabric: Dependency scan, CVE detection, policy engine OPA/Rego
  • Self-Healing: Auto-deprecated, rollback recovery, health-based remediation
  • Analytics: Usage trends, cost analysis, performance metrics, export OTel/Prometheus
  • Lifecycle Management: Stati automatici dalla discovery all'archiviazione
  • Serverless: Zero infrastruttura da gestire (Cloudflare Workers)
  • WASM Runtime: Esecuzione sicura dei tool MCP compilati in WebAssembly
  • AI Agent Economy: Supporto nativo per x402 Protocol (micropagamenti USDC)
  • Monetizzazione: Piani Free, Pro ($19/mese), Enterprise ($499/mese)
  • Set & Forget: Automazione completa con cron triggers

📋 Requisiti

  • Node.js 18+
  • Go 1.21+ (per CLI)
  • Account Cloudflare (free tier sufficiente)
  • Account Stripe (per pagamenti)

🛠️ Installazione

1. Clone e Setup
git clone https://github.com/SiouxTXT/metamesh-uga.git

cd metamesh-uga npm install

2. Configurazione Cloudflare
# Installa Wrangler

npm install -g wrangler

Login a Cloudflare

wrangler login

Crea database D1

wrangler d1 create metamesh-catalog

Crea KV namespace

wrangler kv:namespace create "CACHE"

Crea R2 bucket

wrangler r2 bucket create metamesh-wasm

3. Configura Secrets
# Stripe

wrangler secret put STRIPE_SECRET_KEY wrangler secret put STRIPE_WEBHOOK_SECRET

JWT

wrangler secret put JWT_SECRET

Alerting (opzionale)

wrangler secret put TELEGRAM_BOT_TOKEN wrangler secret put TELEGRAM_CHAT_ID

Admin

wrangler secret put ADMIN_KEY

4. Database Migration
wrangler d1 execute metamesh-catalog --file=./shared/migrations/001_init.sql
5. Deploy
# Deploy Workers

npm run deploy:workers

Deploy Dashboard

cd packages/dashboard npm install npm run deploy

6. Installa CLI
cd cli

go build -o metamesh

Installa globalmente

mv metamesh /usr/local/bin/

O usa direttamente

./metamesh connect

🎯 Uso

CLI Tool
# Connetti al gateway (salva la config locale)

metamesh connect

Chiama un tool (raggiunge POST /v1/call)

metamesh call example.echo --message "hello"

Lista tool disponibili

metamesh list --category demo

Visualizza utilizzo

metamesh usage

API REST
# List tools (paginated, public)

curl "https://api.metamesh-uga.dev/v1/tools?limit=20&sort=popularity"

Full-text search

curl "https://api.metamesh-uga.dev/v1/search?q=github"

Execute a tool

curl -X POST \ -H "Content-Type: application/json" \ -d '{"tool": "example.echo", "params": {"message": "hello"}}' \ https://api.metamesh-uga.dev/v1/call

MCP Protocol

Add to Devin / Cursor / Windsurf / Claude Desktop:

{

"mcpServers": { "metamesh-uga": { "url": "https://api.metamesh-uga.dev/mcp", "transport": "http" } } }

Or test directly via JSON-RPC:

curl -X POST https://api.metamesh-uga.dev/mcp \

-H "Content-Type: application/json" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}'

🤖 AI Agent Economy

Two complementary, production-ready payment models:

Model A — Stripe prepaid credit (recommended)

Agents top up a USD balance once via Stripe Checkout, then per-call pricing is debited automatically from the balance. No per-call fees, no crypto required.

# 1. Register an agent (returns agent_id + api_key, shown once)

curl -X POST https://api.metamesh-uga.dev/v1/agent/register \ -H "Content-Type: application/json" -d '{"name":"My Agent"}'

2. Top up via Stripe (returns a Checkout URL)

curl -X POST https://api.metamesh-uga.dev/v1/agent/topup \ -H "X-Agent-Id: agent_xxx" -H "X-Agent-Key: ak_xxx" \ -H "Content-Type: application/json" -d '{"amount_usd": 10}'

3. Call tools — balance is debited per call

curl -X POST https://api.metamesh-uga.dev/v1/call \ -H "X-Agent-Id: agent_xxx" -H "X-Agent-Key: ak_xxx" \ -H "Content-Type: application/json" \ -d '{"tool":"example.echo","params":{"message":"hi"}}'

4. Check balance / history

curl https://api.metamesh-uga.dev/v1/agent/wallet -H "X-Agent-Id: agent_xxx" -H "X-Agent-Key: ak_xxx" curl https://api.metamesh-uga.dev/v1/billing/info

Operator activation:

wrangler secret put STRIPE_SECRET_KEY --env production       # sk_live_... or sk_test_...

wrangler secret put STRIPE_WEBHOOK_SECRET --env production # whsec_... (Stripe webhook signing secret)

Point a Stripe webhook to: https://api.metamesh-uga.dev/v1/stripe/webhook (event: checkout.session.completed)

Optionally set BILLING_ENABLED="true" in wrangler.toml to require payment for ALL callers.

When Stripe is unset, anonymous calls stay free and /v1/agent/topup returns a clear 503.

Current production state: Stripe (live keys) and the checkout.session.completed webhook are configured, and BILLING_ENABLED="true". Enforcement applies to the REST POST /v1/call endpoint — every caller is charged per request, so top up via /v1/agent/topup first. The public MCP endpoint (POST /mcp) stays free for discovery (tools/list) and native metamesh.* tools, so MCP clients keep working without an account.

Model B — x402 crypto (USDC on Base)

The x402 protocol: agents pay per call in USDC on-chain. Send an X-PAYMENT header; on HTTP 402 read the accepts requirements.

curl https://api.metamesh-uga.dev/v1/x402/info
Payment flow
  1. Call a paid resource (POST /v1/call). When enforcement is active and no payment is attached, the gateway responds HTTP 402 with a standard accepts requirements body (scheme exact, network base, asset USDC, payTo, maxAmountRequired).
  2. The agent constructs a signed payment and retries with an X-PAYMENT header (base64 JSON).
  3. The gateway verifies + settles via the configured facilitator, then returns the result plus an X-PAYMENT-RESPONSE header with the on-chain tx.
Activation (operator)

x402 is implemented but disabled until you set a receiving wallet:

# In wrangler.toml [env.production.vars]

X402_ENABLED = "true" X402_PAY_TO = "0xYourBaseWallet"

X402_FACILITATOR_URL and USDC_CONTRACT have working defaults

Per-tool pricing lives in the tool_pricing table (default $0.001/call, bulk $0.0005).

📊 Architettura

MetaMesh-UGA adotta un'architettura a due piani ispirata ai service mesh moderni.

┌─────────────────────────────────────────────────────────────────────────────┐

│ META MESH-UGA — MCP OPERATING SYSTEM │ ├─────────────────────────────────────────────────────────────────────────────┤ │ │ │ ┌─────────────────────────────────────────────────────────────────────┐ │ │ │ CONTROL PLANE │ │ │ │ │ │ │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ │ │ Registry │ │ Discovery│ │ Trust │ │ Policy │ │ Lifecycle│ │ │ │ │ │ Engine │ │ Engine │ │ Engine │ │ Engine │ │ Manager │ │ │ │ │ └──────────┘ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │ │ │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ │ │ Security │ │Benchmark │ │Analytics │ │ Config │ │ │ │ │ │ Scanner │ │ Engine │ │ Engine │ │ Engine │ │ │ │ │ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │ │ │ └─────────────────────────────────────────────────────────────────────┘ │ │ │ │ │ ▼ │ │ ┌─────────────────────────────────────────────────────────────────────┐ │ │ │ DATA PLANE │ │ │ │ │ │ │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ │ │ Routing │ │ Cache │ │ Health │ │ Proxy │ │ Rate │ │ │ │ │ │ Engine │ │ Engine │ │ Engine │ │ Engine │ │ Limiting │ │ │ │ │ └──────────┘ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │ │ │ └─────────────────────────────────────────────────────────────────────┘ │ │ │ │ │ ▼ │ │ ┌─────────────────────────────────────────────────────────────────────┐ │ │ │ MCP ECOSYSTEM │ │ │ │ (Server MCP A, B, C, D, E...) │ │ │ └─────────────────────────────────────────────────────────────────────┘ │ └─────────────────────────────────────────────────────────────────────────────┘

  • Control Plane: decisioni, configurazione, orchestrazione, analytics.
  • Data Plane: esecuzione delle richieste, routing, caching, health in tempo reale.

Per maggiori dettagli: docs/ARCHITECTURE.md.

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