fnlowl

com.fnlowlv1.0.1更新於 Oct 2, 2026

Read and manage fnlowl widgets, leads, email sequences and analytics from an AI assistant.

已驗證Streamable HTTP可網頁執行Business & Commerce Productivity & Workflow

概覽

AI 產生的概覽

讓助理透過託管的 MCP 端點讀取與管理 fnlowl 的名單擷取元件、潛在客戶、郵件序列與漏斗分析。

功能: 將助理連接到 fnlowl 託管的 MCP 介面，用於名單擷取元件、其產生的潛在客戶，以及後續郵件。文件中的技能涵蓋元件的建立與診斷、漏斗分析、活動與序列的草擬和審閱，以及在一般網站、WordPress、Shopify、Webflow 和 Framer 上安裝嵌入程式碼。list_projects 工具會回傳專案 id，用來限定呼叫範圍。
適用情境: 適合已在運作 fnlowl 漏斗、希望助理不必切換到 fnlowl 介面就能檢視元件成效、處理潛在客戶，或草擬後續序列與嵌入安裝的情況。
執行需求: 遠端 streamable HTTP 端點 OAuth 登入並同意權限範圍；權杖可在「設定 → API → 已連結應用程式」撤銷。指令碼與 CLI 也可改用 API 金鑰，以 Authorization: Bearer 傳送。選用的 x-fnlowl-project 標頭可將呼叫限定到單一專案。

安裝前請注意

OAuth 權杖與 API 金鑰可存取 fnlowl 帳戶資料；API 金鑰僅顯示一次，應妥善保存。發布元件與啟用序列是需另行確認的操作，伺服器無法驗證對話中的確認。遠端介面不提供活動或交易性寄送工具，也無法為任何人取消訂閱。

安裝

在 SourceWeft 中

開啟儀表板中的 fnlowl，將其新增到工作區。
為需要使用其工具的對話啟用該服務。

Web executable，透過 Streamable HTTP。遠端服務在工作區中設定後即可從網頁執行環境執行。

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "fnlowl": {
      "type": "http",
      "url": "https://api.fnlowl.com/v1/mcp"
    }
  }
}

README

@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

bash

npx skills add fnlowl/skills --listnpx skills add fnlowl/skills --global --agent claude-codenpx skills add fnlowl/skills --global --agent claude-code --skill fnlowl-capturenpx skills add fnlowl/skills --global --agent claude-code --skill fnlowl-follow-up-automationnpx skills add fnlowl/skills --global --agent claude-code --skill fnlowl-installationnpx skills add fnlowl/skills --global --agent claude-code --skill fnlowl-mcp

npx skills add fnlowl/skills --listnpx skills add fnlowl/skills --global --agent claude-codenpx skills add fnlowl/skills --global --agent claude-code --skill fnlowl-capturenpx skills add fnlowl/skills --global --agent claude-code --skill fnlowl-follow-up-automationnpx skills add fnlowl/skills --global --agent claude-code --skill fnlowl-installationnpx 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.

Pin a release

Releases are tagged on GitHub. For a stable install, pin a tag instead of the default branch:

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:

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 calls to one project 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

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

text

LICENSE.agents/plugins/marketplace.json.claude-plugin/marketplace.json.claude-plugin/plugin.json.codex-plugin/plugin.json.cursor-plugin/plugin.json.github/workflows/validate.ymlassets/logo.svgskills/install.sh

LICENSE.agents/plugins/marketplace.json.claude-plugin/marketplace.json.claude-plugin/plugin.json.codex-plugin/plugin.json.cursor-plugin/plugin.json.github/workflows/validate.ymlassets/logo.svgskills/install.sh

來源：README.md，提交 c4eaf20

工具

工具後設資料尚未被收錄。

版本歷史

v1.0.1最新Oct 2, 2026