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PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Mentionry

作者:mentionry.com版本 1.0.0i★ –i在云端运行
注册名称com.mentionry/mentionry

安装方法

What it does

Find who links to your competitors but not you, judge each opening, and draft the pitch.

  • Connects 在云端运行
  • Account or key Needs Authorization
  • Category 其他

安装

选择你使用的 AI 应用,然后复制设置。

通过 2/3 项检查 · 你的提问会经过开发者的服务器(mentionry.com) · ✓ 命令已检查 2026年11月13日

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude · 约 5 分钟

需要 Mentionry 的密钥(在开发者网站创建) · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加

  1. 注册并创建 Mentionry 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。

    打开 Mentionry 网站 ↗

  2. 打开 Claude 的 Connectors 页面

    CustomizeConnectors

    CustomizeConnectors1Add2https://…3Add4
  3. 点击“Add” → “Custom” → “Web”,填写这 2 项

    把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue

    Name · 名称Mentionry
    Remote MCP server URL · 地址https://mentionry.com/api/mcp

    在 Request headers 下添加这个名称和值

    Header 名称Authorization
    值Bearer <在这里粘贴你的密钥>

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

    在 Claude 检测到的登录设置页点击 Continue · Authentication 按作者说明选择(Sign in now、Sign in when needed 或 No sign in),然后点击 Add

  4. 在聊天中开启

    +ConnectorsMentionry

  5. 试一试

    用 Mentionry 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 Mentionry,或回答中出现 Mentionry 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

ChatGPT 暂时无法连接 Mentionry

Mentionry 连接时需要你自己的密钥,但 OpenAI 帮助页面只说明了 OAuth 登录,没有我们能核实的填密钥方式

你可以改用这些方式

A · 使用能连接 Mentionry 的应用

  • 需要 Mentionry 的密钥(在开发者网站创建) · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加
  • 需要 Mentionry 的密钥(在开发者网站创建)
  • 需要 Mentionry 的密钥(在开发者网站创建)
  • 需要 Mentionry 的密钥(在开发者网站创建)

B · 其他 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

可连接 Claude Code · 约 5 分钟

需要 Mentionry 的密钥(在开发者网站创建)

  1. 注册并创建 Mentionry 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。

    打开 Mentionry 网站 ↗

  2. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  3. 粘贴这条命令并按 Enter

    claude mcp add --transport http --scope user mentionry https://mentionry.com/api/mcp --header 'Authorization: Bearer your-value'

    按 Enter 前,把“your-value”改成你的密钥

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  4. 在 Claude Code 中输入 /mcp

    应能看到 Mentionry 在列表中并显示已连接

  5. 试一试

    用 Mentionry 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 Mentionry,或回答中出现 Mentionry 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor · 约 5 分钟

需要 Mentionry 的密钥(在开发者网站创建)

  1. 注册并创建 Mentionry 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。

    打开 Mentionry 网站 ↗

  2. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  3. 填写你的密钥

    在 Mentionry 的设置中,Authorization 还是空的,填入你的密钥并保存

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  4. 在 Cursor 中以 Agent 模式打开 AI 聊天

  5. 试一试

    用 Mentionry 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 Mentionry,或回答中出现 Mentionry 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code · 约 5 分钟

需要 Mentionry 的密钥(在开发者网站创建)

  1. 注册并创建 Mentionry 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。

    打开 Mentionry 网站 ↗

  2. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  3. 填写你的密钥

    在 Mentionry 的设置中,Authorization 还是空的,填入你的密钥并保存

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  4. 在 VS Code 中以 Agent 模式打开 AI 聊天

  5. 试一试

    用 Mentionry 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 Mentionry,或回答中出现 Mentionry 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

通过网页连接的应用使用的地址

地址https://mentionry.com/api/mcp

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 Mentionry 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

通过网页连接

Claude Code

claude mcp add --transport http --scope user mentionry https://mentionry.com/api/mcp --header 'Authorization: Bearer your-value'

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "mentionry": {
      "url": "https://mentionry.com/api/mcp",
      "headers": {
        "Authorization": "Bearer your-value"
      }
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "mentionry": {
      "type": "http",
      "url": "https://mentionry.com/api/mcp",
      "headers": {
        "Authorization": "Bearer your-value"
      }
    }
  }
}

需要你填写的值

  • Authorization 机密 必填 HTTP header
    Bearer . Create one free at https://mentionry.com/dashboard/account

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。

一览

每周下载量i
不在 npm/PyPI 上
已验证域名
✓ mentionry.com
许可证i
未注明许可证
连接方式
在云端运行
传输方式
streamable-http
最新版本i
1.0.0
分类i
其他
发布到注册中心i
2026年8月17日
代码最后更新i
–
作者
mentionry.com
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

通过互联网连接,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

全部应用及其优缺点 →

它能做什么

工具名称和描述与服务器在 2026年11月10日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • review_answer_evidence

    Mark one recorded answer run reviewed, not published or improved. Requires its saved stateVersion and idempotencyKey. New runs remain separate. No provider work.

  • restore_answer_evidence

    Restore a reviewed recorded run to the review queue using stateVersion and idempotencyKey. No provider work, content publication or outcome claim.

  • read_preparation_action

    Read one owned mapped action, its current stateVersion and cursor-paginated audit history. Saved data only; no provider work.

  • review_preparation_action

    Mark a suggestion reviewed using expectedVersion and idempotencyKey. Task triage only, not copy approval, generation, publication or outcome verification.

  • dismiss_preparation_action

    Dismiss suggested/reviewed/prepared work without deleting artifacts. Requires expectedVersion and idempotencyKey. Prevents future automatic preparation; does not undo already running work or applied evidence.

  • restore_preparation_action

    Restore dismissed/archived work with expectedVersion and idempotencyKey. Preserve existing applied/prepared evidence or return to suggested. No immediate provider work/job submission. Fresh suggestions can resume scheduled preparation; failed drafts remain explicit retries.

  • qualify_domain

    Judge whether a domain is worth running link building for at all, from live search data. Returns a verdict, the measured signals behind it, and the honest case against. This is the same free diagnostic the dashboard runs, and for a large share of sites the answer is that the nich

  • read_site

    Read a domain and return what we think it is about: a description, its audience, and the keywords it should be found for. This is the brief every other tool takes as input, so call it first when you do not already have one.

  • discover_competitors

    Find the domains competing with this one, from both search results and link profile overlap. Returns each candidate with the evidence for it, so a wrong suggestion can be recognised rather than trusted.

  • backlink_gap

    Find pages that link to the named competitors but not to you, classified by whether a link is realistically winnable and why. Competitors are excluded from their own results: a competitor is never a prospect.

  • find_prospects

    Search the open web for pages that would plausibly link to this site: resource pages, roundups, listicles and directories in its subject. Returns each with the reason it was kept.

  • verify_links

    Check a list of domains against your live backlink profile and report which of them now link to you, when the link first appeared, and whether it is still there. A link that was removed shows as a change rather than staying on the scoreboard.

  • draft_pitch

    Write one outreach email for one prospect, in your own words, using the reason that prospect would link to you. It returns the subject and body and sends nothing: sending happens from your own mailbox, after you have read it. Requires a paid Mentionry plan.

  • list_agents

    The agents on this account: what each is called, how many steps it has, whether it would run as it stands, and when it last changed. Call describe_agent next to learn what one needs before running it.

  • describe_agent

    What one agent does, step by step, and what it needs: the values you must pass to run_agent, what it hands back, how many of its steps reach a vendor that charges, and anything currently stopping it from running.

  • run_agent

    Run one of your agents once and return what every step did, in order, with what it returned and how long it took. Pass its declared inputs as an object keyed by their `key` from describe_agent. Uses one included agent run. Provider calls remain subject to the shared collection al

  • list_documents

    The documents your agents have produced: what each is called, which agent wrote it, how long it is and how many versions it has. Pass an id to read_document for the text.

  • read_document

    The text of one document your agent wrote, with the agent, the step and the values that run was given. Returns the newest version unless an older one is asked for.

  • read_visibility

    The account's own answer-engine measurements over a window: how often each tracked brand appears in recorded answers (visibility), its share of all mentions (share of voice), its mean position, and the ranking against named competitors. Group by day for a trend, or by model, regi

  • list_connections

    Which outside tools this account has connected, and what each one is allowed to do here. Call it before offering to file, post or draft anything, so you can say what is actually available instead of guessing.

  • list_media

    The pictures and clips already generated on this account, newest first, with their addresses. Free.

  • write_landing_page

    Write a complete, responsive landing page as HTML from a brief and file it in Documents, where the customer previews it. Grounded in the brand kit when one exists. Pass the addresses of pictures you generated so the page uses them. It is private until publish_page. Spends one dra

  • write_email_template

    Write a complete HTML marketing email (tables and inline styles, so it renders in Outlook and Gmail) from a brief and file it in Documents for preview. Grounded in the brand kit when one exists. The result can go into the customer's Gmail drafts with create_email_draft or be sent

  • read_latest_answer_reviews

    Latest saved answer executions needing an owned-brand attribution review, with engine, recorded region/date, actual competing brands, excerpt, citations and a source-grounded review task. Last seven days; at most 200 question/engine/region/persona groups scanned per brand. Up to

  • read_search_console_performance

    Saved finalized query/page/country/device rows and matching prior28day samples. Plan-limited mapped pages; no refresh, provider call or causal lift claim.

  • read_live_search_campaign

    Saved live Google desktop rank observations, full-text database suggestions and complete-link SERP-overlap groups. Includes dated compatible rank movement, explicit unknown gaps, leading-page changes and historical mapped-page associations (14 checks/90 days). URL switching is no

  • read_preparation_actions

    Saved owned-page action IDs, source evidence and preparation states. Use an action ID with prepare_page_changes; no provider work is triggered by this read.

  • read_search_rank_history

    Saved keyword positions by snapshot, URL and market. Indexed database samples, not a live rank campaign; absent observations are unknown.

  • read_prepared_page_changes

    Saved source-grounded copy changes and current eligibility. Add a mapped URL for an eligible full artifact. Review-only historical proposals are withheld and replaced with an intent-review task. No generation, publishing or provider requests.

  • read_agent_capabilities

    Discover saved resources, plan coverage, shared collection ceilings, protocol links and sample workflow without provider spending.

  • read_brand_overview

    Saved brand coverage and next SEO/GEO actions; no paid collection.

  • read_actionable_insights

    Prioritized page actions with evidence, implementation steps, confidence, limits and outcome verification.

  • read_website_pages

    Pages and readiness in the entitled saved website map.

  • read_page_insights

    One mapped page, keyword topics, SEO/GEO action plan and internal connections.

  • read_page_keywords

    All collected keyword rows for a mapped page, with lexical topic labels; paginated, not complete keyword discovery.

  • read_page_connections

    Actual sampled incoming/outgoing links with anchor text and nofollow evidence.

  • read_brand_results

    Saved 30-day answer-engine visibility and competitors, with explicit denominator and sample limits.

  • list_brand_workspaces

    List your owned active brand workspaces for subsequent reads.

  • record_page_deployment

    Declare that reviewed saved changes were applied to their original mapped page. Queues one bounded public HTML check, not CMS publishing, paid research or proof of ranking lift.

  • read_page_deployments

    Read saved deployment declarations and public HTML observations. Never fetches a page or starts work.

  • prepare_page_changes

    Queue a source-grounded draft for one saved mapped action. May consume one draft and up to $0.02 planned provider spend inside the existing subscription budget. Requires an idempotency key. Does not publish or send.

  • read_preparation_job

    Read a saved preparation job status; never schedules work or calls paid providers.

  • cancel_preparation_job

    Cancel a queued job. Running work can already have provider cost or a completed artifact; cancellation cannot guarantee a refund or rollback.

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13日

  • ! 注意

    作者与仓库一致

    注册中心没有列出源代码仓库,因此无法将发布者(mentionry.com)与代码对应起来

  • … 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

  • ✓ 通过

    端点有响应

    在 282 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 43 个工具描述,未发现针对 AI 的隐藏指令

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

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此处内容由用户撰写,不代表 PopNx 团队。

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与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 19487 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 19487 个服务器的 19% 更新
  • 基础检查结果等于或优于此分类中其他 19487 个服务器的 44%

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

Mentionry 安全吗?

它在 3 项适用的基础检查中通过了 2 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:Authorization

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(1.0.0)于3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,因此也能用于接受远程 MCP 的应用,例如网页版 ChatGPT(Business 及以上为完整 MCP;Pro 为只读)。

有什么可以替代它?

同一分类中有:World Monitor, Claude Flow, Windmill

同类别的其他选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ 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

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.

作者:koala73广泛使用★ 9.1万昨天更新

在云端运行✓ 服务方 · worldmonitor.app

Claude Flow

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

作者:ruvnet广泛使用↓ 1.4万/周★ 8.2万14个月前更新

在你的电脑上运行

Windmill

Run Windmill scripts and flows and manage jobs, schedules, resources and variables.

作者:windmill-labs广泛使用★ 1.9万昨天更新

在云端运行

作者的 README

仓库中没有找到 README