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MetaMesh-UGA

作者:SiouxTXT版本 2.0.3i★ –i在云端运行
注册名称dev.metamesh-uga/metamesh-uga

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://api.metamesh-uga.dev/mcp

在终端中运行这条命令

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

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://api.metamesh-uga.dev/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 metamesh-uga.dev 验证(注册中心会核实域名所有权)

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32489 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32489 个服务器的 16% 更新
  • 基础检查结果等于或优于此分类中其他 32489 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

MetaMesh-UGA 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(2.0.3)于4个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Whisper

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

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

在云端运行★ 211昨天更新
安装

Whisper

作者:whisper-sec

One routable IPv6 per AI agent, verifiable from the DNS root. Keyless tools need no signup.

电脑或云端今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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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