原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

ZendIQ

作者:ZendIQ版本 1.0.5i★ –i在你的电脑上运行
注册名称ai.zendiq/mcp

安装

概览

作者提供的说明(英文原文)

Solana swap safety for agents: free token screen, $0.01 swap verdict, $0.02 built swap via x402.

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。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他
  • 你需要填写:ZENDIQ_AGENT_KEYPAIR

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: ZENDIQ_AGENT_NETWORK, AGENT_STATE_DIR, ZENDIQ_AGENT_BUDGET_FILE, ZENDIQ_AGENT_KEYPAIR

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • npm已安装 Node.js(用于 npx 命令)

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 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "zendiq": {
      "command": "npx",
      "args": [
        "-y",
        "@zendiq/mcp"
      ],
      "env": {
        "ZENDIQ_AGENT_NETWORK": "your-value",
        "AGENT_STATE_DIR": "your-value",
        "ZENDIQ_AGENT_BUDGET_FILE": "your-value",
        "ZENDIQ_AGENT_KEYPAIR": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add zendiq --env ZENDIQ_AGENT_NETWORK=your-value --env AGENT_STATE_DIR=your-value --env ZENDIQ_AGENT_BUDGET_FILE=your-value --env ZENDIQ_AGENT_KEYPAIR=your-value -- npx -y @zendiq/mcp

运行前请先填写空着的值。

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": {
    "zendiq": {
      "command": "npx",
      "args": [
        "-y",
        "@zendiq/mcp"
      ],
      "env": {
        "ZENDIQ_AGENT_NETWORK": "your-value",
        "AGENT_STATE_DIR": "your-value",
        "ZENDIQ_AGENT_BUDGET_FILE": "your-value",
        "ZENDIQ_AGENT_KEYPAIR": "your-value"
      }
    }
  }
}

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": {
    "zendiq": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@zendiq/mcp"
      ],
      "env": {
        "ZENDIQ_AGENT_NETWORK": "your-value",
        "AGENT_STATE_DIR": "your-value",
        "ZENDIQ_AGENT_BUDGET_FILE": "your-value",
        "ZENDIQ_AGENT_KEYPAIR": "your-value"
      }
    }
  }
}

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。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • ZENDIQ_AGENT_NETWORK env
    Payment network: mainnet (default) or devnet. The free screen tool needs no payment.
  • AGENT_STATE_DIR env
    Folder holding payer-mainnet.key.json (any file solana-keygen writes) and the budget ledger. Defaults to ~/.zendiq. Never inside the npm cache.
  • ZENDIQ_AGENT_BUDGET_FILE env
    Spend-ceiling ledger every payment is reserved against. Defaults to /budget- .json, created by: npx -y @zendiq/mcp budget init 1.00
  • ZENDIQ_AGENT_KEYPAIR 机密 env
    Devnet only: path to a Solana keypair JSON file holding devnet USDC.

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

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 zendiq.ai 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

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32688 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32688 个服务器的 60% 更新
  • 基础检查结果等于或优于此分类中其他 32688 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

ZendIQ 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?

你需要填写:ZENDIQ_AGENT_KEYPAIR

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.5)于26天前进入注册中心。

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。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, 御府和田玉 在售作品查询

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前天更新
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。

ZendIQ Agent API

ZendIQ gives agents a paid, machine-readable Solana swap triage verdict before they sign. The public surface includes the MCP client, x402 client, budget controls, response contract, and a runnable example.

What's open, and what isn't

This repository contains the complete agent-facing integration surface:

  • MCP server exposing zendiq_screen_token, zendiq_triage_swap and zendiq_optimize_swap
  • x402 payment client
  • Execution client — build, verify, and submit an optimized unsigned swap (/optimize)
  • Autonomous candidate feed and triage loop
  • Decision ledger with a hard local spend ceiling
  • Public request and response contract
  • Payment network read from the live API (GET /v1/agent), with a required spend ceiling on mainnet

The scoring model is intentionally not included. Each response surfaces the individual signals, their observed values, their status, and each factor's point contribution to the score — so an agent can act on any single signal (for example, refuse on a serial-deployer flag) rather than only the headline verdict. But how those signals are derived and combined — the data sources, thresholds, and weighting model — runs behind the hosted /analyse endpoint and remains ZendIQ's proprietary engine. The contract is open so integrators can inspect exactly what is sent, returned, paid for, and acted on.

This repository contains no extension analytics, user telemetry, production deployment configuration, database schema, facilitator wallet, or production credentials. It has fresh history independent of ZendIQ's private backend.

Requirements

  • Node.js 22.5 or newer
  • A Solana keypair holding mainnet USDC for paid calls (it needs no SOL)
  • Network access to ZendIQ's hosted API at https://api.zendiq.ai, where scoring runs — see Where your calls go before running anything.

Quickstart

Start free, with nothing installed. Screening a token needs no wallet, no payment, no key and no clone. This returns a real risk score, usually in a few seconds:

curl -s -X POST https://api.zendiq.ai/v1/agent/analyse-token \

-H "content-type: application/json" \ -d '{"mint":"JUPyiwrYJFskUPiHa7hkeR8VUtAeFoSYbKedZNsDvCN"}'

PowerShell:

Invoke-RestMethod -Method Post https://api.zendiq.ai/v1/agent/analyse-token `

-ContentType 'application/json' ` -Body '{"mint":"JUPyiwrYJFskUPiHa7hkeR8VUtAeFoSYbKedZNsDvCN"}' | Select-Object -ExpandProperty tokenRisk

Python (standard library only):

import json, urllib.request

req = urllib.request.Request( "https://api.zendiq.ai/v1/agent/analyse-token", data=json.dumps({"mint": "JUPyiwrYJFskUPiHa7hkeR8VUtAeFoSYbKedZNsDvCN"}).encode(), headers={"content-type": "application/json"}, ) with urllib.request.urlopen(req, timeout=30) as resp: body = json.load(resp)

risk = body["tokenRisk"] print(risk["symbol"], risk["score"], risk["level"], "signals", body["signals_resolved"])

The response holds tokenRisk (score and level), the 17 signals behind it with coverage in signals_resolved, and an analysisId that /optimize can reuse for 60 s.

Paid calls. The steps below run on your machine. The only calls to ZendIQ are the scoring and /optimize requests to the hosted API; no URL needs setting for those. The npm commands are the same in bash and PowerShell.

1. Install and set a local spend ceiling. budget:init reads the payment network from the API (GET /v1/agent, free) and writes a $1.00 ledger for it under runtime/. It spends nothing. On mainnet every payment is reserved against this ceiling, and nothing here pays without one.

npm ci

npm run budget:init

2. Provide and fund the paying key. This code never generates or writes a mainnet key. Put a Solana keypair you control at runtime/payer-mainnet.key.json: any file solana-keygen writes, for example solana-keygen new -o runtime/payer-mainnet.key.json. Fund its address with a little USDC on Solana mainnet. No SOL is needed: the x402 facilitator pays the payment's network fee. $1 covers 100 calls at $0.01. Use a dedicated wallet, because the ledger only bounds what is paid through this code.

3. Make one paid call ($0.01 in mainnet USDC):

npm run analyse

4. Run the MCP server with the same key and ledger:

npm run mcp

Or skip the clone entirely: npx -y @zendiq/mcp@latest runs the same server from npm. See Connect it to an agent.

The MCP server uses newline-delimited JSON-RPC over stdio. Diagnostics go to stderr so stdout remains a valid MCP transport.

5. Optional: try `/optimize` build-only. /optimize builds a mainnet swap for a taker. The taker is only a public key and nothing is signed, so any funded mainnet address shows the full plan, simulation and venue decision. For the default 0.003 SOL swap, pick one holding a little more than 0.003 SOL:

npm run optimize -- --taker <ANY_FUNDED_MAINNET_ADDRESS>

This is build-only: it pays $0.02 in USDC and signs nothing, and you cannot sign a transaction built for a wallet you do not control. A taker that cannot fund the trade gets 422 taker_insufficient_balance, uncharged. To land a trade, see Execution.

Set variables in your shell. Nothing in this repository loads a .env file; .env.example only lists the variables for reference.

The first scan of a token typically takes 1–5 s and at most about 12 s; a token scanned by anyone in the last 60 s comes back in under a second. Details: How long a call takes.

A paid call can also hold its response for up to 90 seconds while payment settlement is confirmed on chain, which happens when the facilitator cannot confirm the transfer itself. Allow at least 120 seconds on /analyse and /optimize. MCP hosts often time out a tool call sooner; raise that limit if your host allows it. Details: Settlement can hold the response.

If that ends in 402 with settlement_pending, keep the payment header and retry once with the same header: a payment that landed late is redeemed for one fresh response on the same route, within 24 h. zendiq-client.js and the MCP server do this for you. Details: Retry once after settlement_pending.

Where your calls go

Runs on your machine: the MCP server (a local stdio adapter), x402 payment signing, the budget ledger, the candidate feed, the triage loop, transaction verification and signing, and the demo visualizer.

Calls ZendIQ's hosted API: token screening, /analyse and /optimize. The scoring engine is not in this repository and has no local mode — every score comes from the hosted API.

Calls third parties directly: DexScreener (candidate feed), Jupiter /execute and a Solana RPC (only when you pass --execute), and the x402 facilitator (payment settlement).

The default endpoint is ZendIQ's live hosted API. If you clone this repo and run it without setting a URL, your calls hit our production service and are billed as real x402 payments:

const BASE_URL = process.env.ZENDIQ_API_URL ?? 'https://api.zendiq.ai';

That default is deliberate — it makes the quickstart work without infrastructure. It is not a sandbox. Two consequences worth understanding before you run a loop:

  • Payments are real settlements in mainnet USDC: $0.01 per /analyse, $0.02 per /optimize. They are on-chain transactions, not mocks.
  • `npm run watch` is an autonomous loop. It pays per candidate until the local budget ceiling stops it. Set budget:init deliberately; it is the only thing bounding spend.

The endpoint can be overridden — ZENDIQ_AGENT_URL for the MCP server, ZENDIQ_API_URL for the examples and the demo runner — but it must point at a ZendIQ Agent API. These are two separate variables reading two separate code paths; setting one does not affect the other. The demo runner is the exception: it passes its ZENDIQ_API_URL to the MCP server it spawns, so there ZENDIQ_AGENT_URL is ignored.

Payment rail: the examples, budget:init and the demo runner read the payment network from the API (GET /v1/agent, field network). AGENT_NETWORK is optional; if set, it must agree with the API or they refuse to run. budget:init is the exception: an explicit AGENT_NETWORK is taken as given there, so a ledger can be created before a server switches. The MCP server reads ZENDIQ_AGENT_NETWORK, which defaults to mainnet; any value other than mainnet or devnet makes its paid tools refuse. The hosted API settles in mainnet USDC, analyses mainnet, and /optimize returns a real mainnet transaction.

No ZendIQ credentials ship in this repository. The paying key is yours, signs your payments, and never leaves your machine.

Connect it to an agent (MCP)

The server speaks the Model Context Protocol over stdio (newline-delimited JSON-RPC), so any MCP-capable client — Claude Desktop, Cursor, Cline, or your own harness — can call it directly. It exposes three tools, one per workflow stage. They are independent entry points, not a required sequence: call whichever matches the question you actually have.

`zendiq_screen_token` — screen stage. Call it first, whenever you are considering a token and have no trade yet (an agent scanning many fresh mints has none). Free and rate-limited, cacheable across callers. Returns the token risk score, its signal breakdown, signals_resolved coverage, and a cache block (hit, ageSeconds, observedAt) so you can decide whether to force fresh.

InputTypeRequiredDescription
mintstringyesBase58 mint of the token to screen

`zendiq_triage_swap` — decide stage. Call it before signing a swap, to decide whether and how to trade it. Paid. Returns the full token score inline (so screening first is optional, never required), plus sandwich exposure, the route and the recommended execution. Builds no transaction.

InputTypeRequiredDescription
inputMintstringyesBase58 mint being sold
outputMintstringyesBase58 mint being bought
amountstringyesAmount to sell, in the input mint's atomic units (e.g. "1000000000" for 1 SOL)
slippageBpsintegernoSlippage tolerance in basis points; omit for the route default

Output (structuredContent):

  • verdict — Safe (route normally), Protect (route through a Jito bundle), or Refuse (do not execute)
  • recommendedExecution — { path, priorityFeeLamports, jitoTipLamports }
  • reasons — plain-language justification

The full risk breakdown (token-risk factors, sandwich exposure, provenance fingerprint) is returned unchanged alongside these committed fields, so the MCP result is byte-identical to the HTTP /analyse response. Each call costs $0.01 in USDC, paid automatically via x402 using the configured keypair.

`zendiq_optimize_swap` — execute stage. Call it once you have decided to trade and need the transaction. Paid. Returns an unsigned swap transaction (the Jupiter route, or a direct venue or Jito bundle that beats it after every cost by more than 0.1% of the trade, capped at $1), the plan to verify it against, submit instructions, a simulation, an itemised netBenefit, and the same verdict as zendiq_triage_swap. Zero custody — nothing is signed here.

InputTypeRequiredDescription
inputMintstringyesBase58 mint being sold
outputMintstringyesBase58 mint being bought
amountstringyesAmount to sell, in the input mint's atomic units

| taker | string | yes | Base58 mainnet wallet the swap is built for; must hold the input amount and SOL for fees and rent (a gasless Jupiter Ultra fi

只显示了开头部分;其余内容请在仓库中阅读

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