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

Zearch

作者:zearchcomputer版本 0.1.0i★ –i在你的电脑上运行
注册名称io.github.zearchcomputer/zearch-mcp

安装

概览

作者提供的说明(英文原文)

Research with answers you can check: every paragraph verified against its cited source.

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: 搜索与 AI 记忆
  • 你需要填写:ZEARCH_API_KEY

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: ZEARCH_API_KEY, ZEARCH_API_URL

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": {
    "zearch": {
      "command": "npx",
      "args": [
        "-y",
        "@zearchcomputer/mcp"
      ],
      "env": {
        "ZEARCH_API_KEY": "your-value",
        "ZEARCH_API_URL": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add zearch --env ZEARCH_API_KEY=your-value --env ZEARCH_API_URL=your-value -- npx -y @zearchcomputer/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": {
    "zearch": {
      "command": "npx",
      "args": [
        "-y",
        "@zearchcomputer/mcp"
      ],
      "env": {
        "ZEARCH_API_KEY": "your-value",
        "ZEARCH_API_URL": "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": {
    "zearch": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@zearchcomputer/mcp"
      ],
      "env": {
        "ZEARCH_API_KEY": "your-value",
        "ZEARCH_API_URL": "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

  • ZEARCH_API_KEY 机密 必填 env
    Zearch API key (zk_live_…), from Account → API keys
  • ZEARCH_API_URL env
    API base URL; defaults to https://zearch.computer/v1

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 GitHub 账户 zearchcomputer 验证,该账户拥有此仓库

  • … 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“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7249 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7249 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 7249 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

Zearch 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:ZEARCH_API_KEY

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(0.1.0)于24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:Context7, Codebase Memory, Exa

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

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT今天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
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。

Answers you can check, inside any MCP client.

@zearchcomputer/mcp connects Claude, Cursor, VS Code and other Model Context Protocol clients to Zearch. Ask a question and you get an answer whose every paragraph was checked against the source it cites, with the exact passage Zearch read. Or check text your own model wrote against sources you already have.

Status: early. The Zearch API is not open to everyone yet.

How an answer is made

flowchart LR

Q([Question]) --> S[Search] S --> J1[Jev selects passages] J1 --> W[Writer drafts from those passages only] W --> J2[Jev checks each paragraph] J2 -->|supported| A([Cited answer]) J2 -->|not supported| E([The source passage itself])

Jev is TypeSafe AI's evidence model. When a paragraph can't be supported it is cut, and when nothing survives you get the best source passage instead of a guess (answer_type: "excerpt").

Tools

ToolWhat it doesCredits
researchChecked answer with numbered sources and the passages Jev read. Modes: standard, deep (a report from up to 8 sources), compare, scrape (one page), crawl (up to five pages of a site), reverse (how an app, repo or site works, from static analysis). Follow-ups with parent_id.1 · 5 · 2 · 1 · 3 · 10; follow-up 0.3
verifyChecks your text against your sources, paragraph by paragraph: pass/fail, support and attribution scores. Cite sources as [1], [2]…1
get_runReopens a run, or checks on a queued reverse run.free
list_runsYour recent runs (shared with the Zearch app).free
get_walletCredit balance, lots and expiry, recent ledger entries.free
get_pricingPublic price list. No key needed.free

Errors are never charged. A run that can only return a source passage costs half.

Progress. research streams its stages (*Searching the web → Choosing the most relevant evidence → Checking each claim against its source*) as MCP progress notifications, so clients that show progress show what Zearch is doing.

Answer view. In clients that support MCP Apps, research, get_run and verify render an inline card: the answer with citation chips, source cards with the excerpt Jev read, an *Open* button for each source, and follow-up suggestions. It follows the client's light or dark theme. Other clients get the same content as text. Set ZEARCH_UI=0 to turn it off.

Resources. zearch://runs/{id} (a run as Markdown; your recent runs are listed), zearch://pricing.

Prompts. research_brief (a cited brief from deep research), fact_check (find sources for a draft, then verify it), compare (a table with a citation in every cell).

Install

You need a Zearch API key (zk_live_…). Create one in the Zearch app under Account → API keys.

Claude Code
claude mcp add zearch --env ZEARCH_API_KEY=zk_live_your_key -- npx -y @zearchcomputer/mcp
Claude Desktop

In *Settings → Developer → Edit config*, add:

{

"mcpServers": { "zearch": { "command": "npx", "args": ["-y", "@zearchcomputer/mcp"], "env": { "ZEARCH_API_KEY": "zk_live_your_key" } } } }

Cursor

.cursor/mcp.json (project) or ~/.cursor/mcp.json (global): the same mcpServers block as Claude Desktop.

VS Code

.vscode/mcp.json, which prompts for the key instead of storing it:

{

"inputs": [{ "type": "promptString", "id": "zearch-key", "description": "Zearch API key", "password": true }], "servers": { "zearch": { "type": "stdio", "command": "npx", "args": ["-y", "@zearchcomputer/mcp"], "env": { "ZEARCH_API_KEY": "${input:zearch-key}" } } } }

Run from source
git clone https://github.com/zearchcomputer/zearch-mcp

cd zearch-mcp npm ci && npm run build

Then use node /absolute/path/to/zearch-mcp/dist/index.js as the command in any config above, instead of npx -y @zearchcomputer/mcp.

Remote (HTTP) mode

npx -y @zearchcomputer/mcp --http --port 8787            # http://127.0.0.1:8787/mcp

Every request uses the caller's own key, sent as Authorization: Bearer zk_live_…; the server stores no keys. ZEARCH_API_KEY is used as a fallback only when the server listens on loopback, so a public deployment can't spend the operator's credits for someone else. GET /healthz reports liveness.

To serve on a public interface, bind it and list the hostnames you serve, so requests with other Host headers are refused:

npx -y @zearchcomputer/mcp --http --host 0.0.0.0 --port 8080 --allowed-hosts mcp.zearch.computer

A Dockerfile is included for this.

Configuration

VariableDefaultPurpose
ZEARCH_API_KEYYour API key. In HTTP mode, callers send their own.
ZEARCH_API_URLhttps://zearch.computer/v1API base URL. http:// is accepted only for localhost.
ZEARCH_TIMEOUT_MS120000Per-request timeout. Research streams get at least 180 s.
ZEARCH_REVERSE_WAIT_MS300000How long research waits for a reverse run before returning its id for get_run.
ZEARCH_UIon0 turns off the inline answer view.
ZEARCH_MCP_ALLOWED_HOSTSSame as --allowed-hosts.
PORT8787HTTP port when --port isn't given.

Reliability

  • Each research call carries an idempotency key, reused across retries, so a retried request never runs or charges twice.
  • Network failures, 5xx responses and per-minute rate limits are retried with backoff that honours Retry-After. Out-of-credit, auth and validation errors are not retried; they come back as a tool error that says what to do next.
  • If a research stream drops, the server reads the finished run instead of failing.
  • Cancelling a tool call in the client cancels the request to Zearch.
  • Logs go to stderr. Keys are never logged.

Development

npm ci

npm test # builds, then runs the tests against a local mock of the Zearch API

Tests make no network calls beyond localhost and spend no credits. The view is a single dependency-free HTML file in src/ui/answer.html.

The server is built on the MCP TypeScript SDK v2 (protocol revision 2026-07-28, with 2025-era clients still served) and talks to the Zearch API.

Security

Report vulnerabilities privately through GitHub security advisories. See the security policy.

License

MIT

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