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Nymrel

作者:nymrel版本 1.4.0i★ –i在云端运行
注册名称io.github.nymrel/nymrel

安装

概览

作者提供的说明(英文原文)

Four public utilities plus seven OAuth-protected Remote read tools for paired Nymrel devices.

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://mcp.nymrel.com/mcp

在终端中运行这条命令

claude mcp add --transport http nymrel https://mcp.nymrel.com/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": {
    "nymrel": {
      "url": "https://mcp.nymrel.com/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": {
    "nymrel": {
      "type": "http",
      "url": "https://mcp.nymrel.com/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://mcp.nymrel.com/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 GitHub 账户 nymrel 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

  • … 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 32461 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32461 个服务器的 81% 更新
  • 基础检查结果等于或优于此分类中其他 32461 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

Nymrel 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(1.4.0)于7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。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, dotnet-mcp

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
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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
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dotnet-mcp

作者:Skymly

MCP server for .NET symbols, XAML, source generators, and restricted workspace edit

在你的电脑上运行今天更新
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。

Nymrel hosted MCP

Production source for https://mcp.nymrel.com/mcp.

The public server intentionally exposes four credential-free read tools:

  • nymrel_audit_website
  • nymrel_find_domain
  • nymrel_golf_bag_gap
  • nymrel_social_clip_score

The vendored client contains additional Nymrel API contracts, but the hosted entrypoint removes them from tools/list until their provider or authorization boundaries are production-ready.

Result contracts and audit app

The four public data tools publish explicit success/error output schemas. Valid upstream payloads retain their original fields and evidence. Missing or invalid measurements produce INVALID_RESULT with isError: true; safe upstream errors also carry the MCP error bit. Text and structured results agree.

NYMREL_AUDIT_UI_ENABLED=true adds the fifth anonymous, read-only tool nymrel_render_website_audit and ui://nymrel/website-audit-v1.html. This flag is off by default. First call the audit tool, then pass its successful result and the requested URL to the renderer. Rendering makes no network request and does not authenticate the provenance of caller-supplied data. The data tools remain useful without a UI. The view labels missing measurements as unknown and uses text nodes for all report content.

The hosted asset is api/assets/audit-widget.html; it is independent of the older TypeScript harness's richer signed-report format. Test the hosted asset with node scripts/audit-ui-smoke.mjs from the repository root after installing the locked Node dependencies and Playwright Chromium. CI runs this synthetic host check on Linux/Node 24. It is not a substitute for ChatGPT acceptance.

After deployment, run scripts/verify_live_contract.py --public-results to require the new output schemas. After activating the view in a review deployment, add --audit-ui; that checks the exact catalog, resource metadata, and a synthetic render. For a deployment with Remote reads active, also supply --remote-read --issuer https://nymrel-remote-production.up.railway.app (the issuer has no trailing slash). The verifier's default remains compatible with the earlier live catalog for release comparisons.

Before production UI activation, refresh the ChatGPT tool catalog and run evals/workflow-adoption-cases.json: data-to-view flow, text fallback, mobile, theme changes, errors, and untrusted page content. Record the deployed commit, host, timestamp, and evidence. Roll back the view by setting the flag false; roll back the full contract change by redeploying the preceding release.

Remote reads preserve their backend payloads. A pending result must contain one unambiguous, non-empty call.id or callId; malformed pending results fail closed. _meta["nymrel/readState"] supplies the resume tool and forbids resubmitting the original operation. The plugin skill bounds status checks to three per turn; the proxy itself makes one backend call and never auto-replays.

See ../docs/chatgpt-workflow-adoption-2026-09-29.md for source-backed decisions, validation, and the remaining target-host gates.

Public tool workbench

NYMREL_TOOLS_UI_ENABLED=true independently adds nymrel_open_tools and ui://nymrel/tools-v1.html. The opener accepts {} from global navigation or a thread, and returns only the four-tool catalog. No analysis runs at launch. The view uses the bundled MCP Apps SDK and calls the existing data tools on form submission. It supports fullscreen only and applies host themes and deep links. In-app preferences store only display choices in this browser; submitted inputs and results are not persisted. A separate user button adds the selected result to conversation context when that host supports it.

The flag is off by default pending host acceptance. Test with npm run test:ui from the root and the real hosted wire tests. verify_live_contract.py --tools-ui checks the exact enabled catalog, entrypoints, launch, resource, and display/CSP metadata; it composes with --audit-ui and --remote-read --issuer .... See the extension record for the plugin-family inventory and acceptance matrix.

Activation-held private handoff adapter

This source also contains a disabled-by-default adapter for two future, authenticated tools behind the same @Nymrel MCP tag:

  • nymrel_submit_private_handoff
  • nymrel_get_private_handoff_status

The public and private contracts stay separate. The four production tools remain anonymous reads. Private submit/status calls use a caller token verified by a direct FastMCP RemoteAuthProvider, then proxy the accepted /api/agent/v1/handoffs REST contract. The MCP layer does not accept bearer tokens as tool arguments, hold a shared server credential, choose projects, or grant execution authority.

Setting NYMREL_PRIVATE_HANDOFF_MCP_ENABLED=true alone does not activate the bridge. NYMREL_PRIVATE_HANDOFF_OAUTH_ISSUER must identify a Nymrel-owned, root-level HTTPS OAuth issuer whose JWKS lives at /oauth2/jwks. The edge accepts only RS256 JWTs for https://mcp.nymrel.com/mcp, then enforces the single exact scope declared by the private tool being called. The Nymrel REST API independently verifies the same claims and maps the stable provider sub to its revocation and project-allowlist policy. An unrelated provider token fails closed with 401 and is not an activation. No provider secret, production token, tester identity, or real customer content is part of source control.

The pinned FastMCP 3.4.10 integration does not leave the OpenAI-required top-level securitySchemes field to implicit framework behavior. The hosted list-tools adapter publishes that field explicitly and retains the same value under _meta for older clients. Contract tests require noauth on every public tool and the exact OAuth scope on each private tool. The adapter also returns a complete _meta["mcp/www_authenticate"] challenge when a private call lacks a valid token or scope. A target-client OAuth canary remains mandatory before production activation.

Verify

The deployable runtime is pinned to Python 3.13. Create a clean environment and install the reviewed runtime plus test tools:

py -3.13 -m venv .venv

.\.venv\Scripts\python.exe -m pip install --upgrade pip==26.2.1 .\.venv\Scripts\python.exe -m pip install -r requirements-test.txt .\.venv\Scripts\python.exe -m pip check .\.venv\Scripts\python.exe -m ruff check --config pyproject.toml api tests .\.venv\Scripts\python.exe -m compileall -q api .\.venv\Scripts\python.exe -m pytest tests -q .\.venv\Scripts\python.exe -m pip_audit --strict --progress-spinner off -r requirements.txt

The private adapter's synthetic-only gate is:

.\.venv\Scripts\python.exe -m pytest tests/test_private_handoff.py -q

Deploy

Link this directory to the existing nymrel-mcp Vercel project, run the tests, then deploy from this exact clean commit through the existing protected release rail. Verify tools/list and one successful call per advertised tool after the production alias is ready. A source, PR, or local-test result is not a deployment receipt.

Do not deploy the private feature until its separate consent, retention, AuthKit tenant, tester-subject, dedicated-storage, project-allowlist, and synthetic production gates are approved. Until then, production proof remains exactly four public tools.

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