fnlowl
概览
作者提供的说明(英文原文)
Read and manage fnlowl widgets, leads, email sequences and analytics from an AI assistant.
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。
- 用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
- 我们的基础检查i3 项中通过 3 项依据公开信息检查;尚未扫描代码
- 使用情况i非常新★ –
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: 在云端运行
- 传输方式: Streamable HTTP
- 分类: 营销与社交媒体
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:3 项中通过 3 项
- 在作者的服务器上运行:你向它提出的内容会经过他们的服务器。
- 可以做 40 件事(工具) list_projects, create_project, offer_choice, read_plan_usage …
- 注册中心没有列出需要填写的密钥。
你需要
- 在云端运行无需安装任何东西,通过互联网连接
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:
- 打开 Settings → Connectors
- 点击 Add custom connector
- 粘贴下面的地址,然后点击 Add
- 如果要求登录,请登录作者的服务
https://api.fnlowl.com/v1/mcp在终端中运行这条命令
claude mcp add --transport http fnlowl https://api.fnlowl.com/v1/mcp或者自己复制设置
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"fnlowl": {
"url": "https://api.fnlowl.com/v1/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。
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"fnlowl": {
"type": "http",
"url": "https://api.fnlowl.com/v1/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:
- 打开网页版 ChatGPT → Settings → Connectors (Apps)
- 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
- 粘贴下面的地址,起个名字,然后保存
- 如果要求登录,请登录作者的服务
https://api.fnlowl.com/v1/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
工具名称和描述与服务器在 2026年11月8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。
list_projectsLists the projects this credential can act on. A project is one site or brand under the account, and every widget, lead, campaign and sequence belongs to one. Every other tool takes an optional project argument: pass one of these ids to run that call in that project. Without it,
create_projectCreates a project — one more site or brand under the account — and returns its id. Pass that id as the project argument on later calls to work inside it. Projects cannot be deleted from here.
offer_choicePresents the user with a choice between 2 to 4 options, each with a label and a one-line description, one optionally marked recommended. It is for decisions where reasonable options would build different things — which widget kind, what score ranges, what copy or trigger — and no
read_plan_usageReads the account's plan and what it has used of each monthly quota: leads captured, emails sent, AI messages, plus how many websites and widgets exist against the plan's limits. Leads are counted over the billing period and everything else over the calendar month (UTC). `plan` i
plan_site_strategyGives an agent what it needs to advise on a website's lead capture: a snapshot of the website's widgets (kind, live or draft, views, completions, conversion), the six widget kinds with where each appears, and the steps to follow — read the site, ask the user questions with offer_
list_widgetsEvery widget in the current project, newest last. Returns summaries only — id, name, kind, type, status, article, views, completions. Use read_widget for one widget's full content.
read_widgetOne widget in full, plus `issues` — what is still missing before it could go live. Includes its questions, quiz questions and options, quiz tiers and calculator inputs. Which of those are meaningful depends on the kind: questions for lead-magnet and survey, quiz fields for quiz,
create_widgetCreate a widget in the current project. Six kinds: lead-magnet, popup, survey, announcement-bar, quiz, calculator. It is always created as a draft, and the result lists `issues` — what is still missing before it could go live (empty when nothing is); fix them with update_widget.
update_widgetChange a widget. Only the fields sent are changed, with one exception: sending ANY of questions, quizQuestions, quizTiers or calcInputs replaces ALL FOUR with exactly what is sent, so send the complete set you want to end up with. Publishing is a separate action. Views and comple
request_widget_publishAsk for a draft widget to go live. This requests publication; it does not publish. Called over the API or MCP with a key it does NOT publish: it creates a pending approval carrying a before/after snapshot and returns it, and the widget goes live only when a signed-in person appro
start_experimentSplit traffic between a control widget and 1 to 3 variants. The variants must already exist as their own live widgets, of the same kind and project as the control (created with create_widget and made live with request_widget_publish). On a small site one variant at a time is the
stop_experimentEnd a running experiment. Counts stop with it; starting a new one on the same widgets begins with fresh counts, not a resume.
list_leadsCaptured leads for the current project, newest first. PAGED — at most 200 per call, and the limit is a hard cap, not a default you can raise; pass offset for the next page (limit 50 with offset 50 returns leads 51 onward). These rows are real people's email addresses. Each lead c
read_leadOne lead with the answers it gave, and its quiz score and tier if it came from a quiz. The score is frozen at the moment of submission — it is what that visitor actually saw, not a recomputation against the quiz as it stands today.
read_analyticsTotals for the current project: widget count, page views, completions, conversion percentage, lead count and how many have unsubscribed. Conversion is completions divided by views as a whole percentage; with no views yet it reads 0, which means NO DATA rather than a failure. Comp
list_widget_analyticsThe same numbers per widget, best-converting first. Use this to answer which magnet is working; use widget_results for where one widget's traffic came from.
read_widget_resultsOne widget's views, completions, conversion, and its leads grouped by referrer. The referrer is whatever the visitor's browser reported when they submitted, so it is a rough attribution, not a tracked source. Also returns the funnel (views, completions, leads, conversions, revenu
read_experiment_resultsThe A/B experiment a widget is in (or last ran as control): per arm, assigned views, leads, conversion rate and 95% interval in basis points (1234 = 12.34%), and lift against the control arm. result "insufficient_data" means at least one arm has too few views for a rate to mean a
list_campaignsCampaigns in this project, newest first, with their status. Open and click numbers come from the sent-email ledger, not from a counter on the campaign.
draft_campaignCreate a campaign AS A DRAFT. There is no tool that sends one: sending puts mail in thousands of real inboxes, spends deliverability reputation that cannot be bought back, and cannot be undone. A person sends it from the dashboard. recipientScope is "all" or a single widget id, a
update_campaignChange a draft campaign. A campaign that has already been sent cannot be edited — the ledger describes what actually went out, and editing it afterwards would make that a lie.
list_sequencesSequences in this project with their steps and branch. The shape is BOUNDED: a linear chain of steps, then at most one branch point, each path its own linear chain. No nesting, no rejoining, no parallel paths.
list_sequence_enrollmentsWho is running through which sequence: for a lead (leadId) or for a sequence (sequenceId), each enrolment's status (active, finished or stopped), the step it is on and when it is next due. This is how to answer "why did this lead get, or not get, the follow-up" — a lead with no e
draft_sequenceCreate a sequence AS A DRAFT. Steps are either an email or a delay in days — a delay is its own step, so two emails can run back to back. A branch may be added at the end; its paths are evaluated first-match-wins, left to right, and a filter with field null always matches, so it
update_sequenceChange a DRAFT sequence. Only the fields sent are changed, except that sending steps or branch replaces the whole of that part, so send the complete chain you want. It cannot edit an active sequence and cannot activate one: an active sequence is paused with pause_sequence, edited
pause_sequenceMove a sequence to draft, which stops new enrolments. Stopping mail is never the slower path, so this applies immediately. Starting one again is activate_sequence, which a person approves: an active sequence enrols every future lead and sends on a timer with nobody watching.
activate_sequenceAsk for a draft sequence to start sending. Called over the API or MCP this does NOT activate it: it creates a pending approval and returns its requestId, and the sequence starts — enrolling future matching leads and mailing them on its timer — only when a signed-in person approve
list_templatesTransactional templates in this account. Built-in starters are marked isCustom false and cannot be deleted.
create_templateCreate a transactional template. category is one of authentication, account, orders, notifications. Use {{name}} placeholders in the subject and body for values supplied when it is sent; a placeholder nobody supplies is replaced with nothing. It creates the template only — sendin
update_templateChange a template's name, category, subject or body — only the fields sent. Built-in starters can be rewritten too (they just cannot be deleted). It changes what later sends of this template say; it sends nothing.
read_brandThe brand: site name, accent colour, sender name, logo and the postal address that every commercial email needs in its footer. With a project in scope this is that website's brand — the account defaults with the website's own overrides applied; without one it is the account defau
update_brandChange brand settings. Only the fields sent are changed. With a project in scope this sets that website's own override and leaves the account defaults — and every other website — alone; without one it changes the account defaults every website inherits. The accent colour must be
read_ai_contextThe account's AI context: what the blog is about, its pricing tiers, value props, testimonials, design direction and tone presets. Every AI-personalised lead magnet is generated from exactly this plus the visitor's own answers. It belongs to the whole account and is shared by eve
update_ai_contextChange the AI context: the about text, design direction, value props, pricing tiers and testimonials that every AI-personalised lead magnet is generated from. Changes apply to generations from then on; lead magnets already sent are not rewritten. Only the fields sent are changed.
read_sending_statusRead account sending readiness, domain verification, daily usage, and recent reputation state. While the sending domain is not yet verified it also returns `records`: the DNS records to publish. `sentToday` counts the last 24 hours on a rolling basis, while `sharedTrial.sendsUsed
list_email_deliveriesList recent email outcomes for this account. Recipients are masked; use this to diagnose queued, delivered, opened, clicked, bounced, complained, or failed mail. `sentToday` counts the last 24 hours on a rolling basis, while `sharedTrial.sendsUsed` counts the account's lifetime s
list_integrationsList native integration providers and connection health. Credentials are never returned.
read_integration_delivery_statusRead recent queued ESP/webhook handoff outcomes and retry state. Lead identifiers, payloads, and credentials are not returned.
read_ai_generation_statusRead recent AI lead-magnet generation outcomes by status and widget. Visitor answers, generated content, lead ids, and failure details are not returned.
ask_questionAsk the fnlowl Advisor a question in plain English. It knows how fnlowl works — widgets and where each kind appears, the embed, sequences, campaigns, sending, credits, plans, MCP — and can read the account's own widgets, leads, analytics, campaigns, sequences and sending status t
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9日
- ✓ 通过
作者与仓库一致
注册名称已通过域名 fnlowl.com 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
- ✓ 通过
端点有响应
在 386 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 40 个工具描述,未发现针对 AI 的隐藏指令
与“营销与社交媒体”中的其他服务器比较i
- 星标数多于此分类中其他 3615 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 3615 个服务器的 43% 更新
- 基础检查结果等于或优于此分类中其他 3615 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
fnlowl 安全吗?
它在 3 项适用的基础检查中通过了 3 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(1.0.1)于37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:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
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:↓ 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
Google Analytics MCP
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
BibiGPT YouTube Video Summarizer
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
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。
@fnlowl/skills
Agent skills for operating fnlowl (pronounced *Funnel Owl* — Funnel Intelligence, Agentified!) — lead-capture widgets, the leads they produce, and the mail that follows.
Four skills:
- `fnlowl-capture` — build and diagnose widgets, leads, and funnel analytics.
- `fnlowl-follow-up-automation` — draft and review delivery, integration handoff, campaigns, and sequences.
- `fnlowl-installation` — install embeds on generic sites, WordPress, Shopify, Webflow, and Framer.
- `fnlowl-mcp` — connect an agent to the remote MCP surface safely.
Read them in skills/.
Install
npx skills add fnlowl/skills --list
npx skills add fnlowl/skills --global --agent claude-code npx skills add fnlowl/skills --global --agent claude-code --skill fnlowl-capture npx skills add fnlowl/skills --global --agent claude-code --skill fnlowl-follow-up-automation npx skills add fnlowl/skills --global --agent claude-code --skill fnlowl-installation npx skills add fnlowl/skills --global --agent claude-code --skill fnlowl-mcp
Name your agent with --agent (for example claude-code, codex or cursor). Without it, a non-interactive run (--yes) installs into every agent the installer supports.
Install from npm
npm i -D fnlowl-skills
npx skills experimental_sync --agent claude-code
The package is fnlowl-skills. The sync links the four skills from node_modules into your project's agent folder; name your agent with --agent.
Pin a release
Releases are tagged on GitHub. For a stable install, pin a tag instead of the default branch:
npx skills add fnlowl/skills#v0.1.0 --global --agent claude-code
The skills are versioned together as one bundle. A release that renames or removes a skill says so in its notes.
Install as a Claude Code plugin
The repo is also a plugin marketplace, so Claude Code can install it directly:
/plugin marketplace add fnlowl/skills
/plugin install fnlowl@fnlowl-plugins
How to invoke skills
| Platform | Typical invocation |
|---|---|
| Claude Code | /fnlowl-capture, /fnlowl-follow-up-automation, /fnlowl-installation, /fnlowl-mcp |
| Cursor | the same names after typing / in Agent chat |
| Codex | describe the task, or $fnlowl-capture and the other skill names |
Verify install
Try a task that should trigger one of the skills:
- "Create a quiz widget for my pricing page."
- "Why is this widget not converting?"
- "Draft a three-email nurture sequence for people who finish the quiz."
- "Add the fnlowl widget to my WordPress site."
- "Connect Claude to fnlowl and list the tools it can use."
What's included
- four skills that load when relevant
- reference files and recipes for the capture and follow-up skills
.mcp.json, which points an agent at the hosted MCP server (OAuth sign-in on first use)
It does not ship slash commands or an MCP server of its own; the server runs at https://api.fnlowl.com/v1/mcp.
Use it
The MCP server is at https://api.fnlowl.com/v1/mcp (streamable HTTP, OAuth). .mcp.json in this package points there. Your client opens fnlowl's consent screen the first time: sign in and approve the scopes and website. Tokens are fnla_, revocable under Settings → API → Connected apps; a connector limited to one website is already project-bound, so x-fnlowl-project is ignored.
Claude.ai and ChatGPT work the same way: add the URL as a custom connector (OAuth, leave client id and secret blank).
For scripts and the CLI you can use an API key from Settings → API instead. It starts fnlk_, is shown once, and is sent as Authorization: Bearer fnlk_....
Scope a call to one project with the project argument, or set a default with the x-fnlowl-project header. list_projects returns the ids.
What it will not do
The remote MCP surface has no campaign or transactional send tool and cannot unsubscribe anyone. Publishing widgets and activating sequences are separate confirmation-required actions; the server cannot verify that conversational confirmation. High-risk Composio connection/action tools are withheld when that optional integration is configured. See references/approval-model.md.
Develop
node scripts/check-skills.mjs
Markdown and JSON, no dependencies — Node 18 or later. The one rule is describe only what is built, and a limitation goes in references/known-gaps.md rather than being left out.
The package also includes Codex, Claude, Cursor, and agent-marketplace plugin manifests.
License
MIT — see LICENSE.
Repository layout
LICENSE
.agents/plugins/marketplace.json .claude-plugin/marketplace.json .claude-plugin/plugin.json .codex-plugin/plugin.json .cursor-plugin/plugin.json .github/workflows/validate.yml assets/logo.svg skills/ install.sh