MCP server

fnlowl Official

com.fnlowl/fnlowl

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

fnlowl.com (verified by the MCP Registry)

Status

Working at last check

Tools

40

Token cost

About 13,196 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http fnlowl https://api.fnlowl.com/v1/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.fnlowl]
url = "https://api.fnlowl.com/v1/mcp"

Gemini CLI

{"mcpServers":{"fnlowl":{"httpUrl":"https://api.fnlowl.com/v1/mcp"}}}

Cursor

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

VS Code

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

Antigravity

agy mcp add fnlowl https://api.fnlowl.com/v1/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"fnlowl","server_url":"https://api.fnlowl.com/v1/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"fnlowl","server_url":"https://api.fnlowl.com/v1/mcp"}

Tools

• activate_sequence ~169 tokens
  Activate a draft sequence so future matching leads are enrolled and may receive its emails. Activation starts timed sending with nobody watching, and the server does not itself verify human confirmation.
• ask_question ~260 tokens
  Ask 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 to answer. Suited to
• create_project ~139 tokens
  Creates a project — one more site or brand under the account — and returns its id. Pass that id as the project argument (or x-fnlowl-project / FNLOWL_PROJECT) to work inside it. Projects cannot be deleted from here.
• create_template ~249 tokens
  Create 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 — sending needs a person.
• create_widget ~2136 tokens
  Create 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. Going live is a sepa
• draft_campaign ~249 tokens
  Create 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, and unsubscribed or b
• draft_sequence ~582 tokens
  Create 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 only makes sense las
• list_campaigns ~133 tokens
  Campaigns 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.
• list_email_deliveries ~209 tokens
  List 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 sends on the shared t
• list_integrations ~116 tokens
  List native integration providers and connection health. Credentials are never returned.
• list_leads ~261 tokens
  Captured 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 carries a quality ver
• list_projects ~195 tokens
  Lists 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. Pass an id as the project argument on any tool to run that call in it, or as the x-fnlowl-project header (remote) or FNLOWL_PROJECT (local) t
• list_sequence_enrollments ~233 tokens
  Who 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 enrolment was never e
• list_sequences ~150 tokens
  Sequences 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_templates ~121 tokens
  Transactional templates in this account. Built-in starters are marked isCustom false and cannot be deleted.
• list_widget_analytics ~137 tokens
  The 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.
• list_widgets ~141 tokens
  Every 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.
• offer_choice ~299 tokens
  Presents 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 nothing the user said
• pause_sequence ~182 tokens
  Move 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: an active sequence enrols every future lead and sends on a timer with nobody watching.
• plan_site_strategy ~227 tokens
  Gives 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_choice, then rank 3-
• read_ai_context ~195 tokens
  The 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 every website on it, so
• read_ai_generation_status ~137 tokens
  Read recent AI lead-magnet generation outcomes by status and widget. Visitor answers, generated content, lead ids, and failure details are not returned.
• read_analytics ~295 tokens
  Totals 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. Completions is not leads
• read_brand ~170 tokens
  The 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 defaults.
• read_experiment_results ~348 tokens
  The 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 anything; in that cas
• read_integration_delivery_status ~146 tokens
  Read recent queued ESP/webhook handoff outcomes and retry state. Lead identifiers, payloads, and credentials are not returned.
• read_lead ~173 tokens
  One 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_plan_usage ~162 tokens
  Reads 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` is null when no plan
• read_sending_status ~203 tokens
  Read 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` counts the account
• read_widget ~258 tokens
  One 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, calculator inputs fo
• read_widget_results ~271 tokens
  One 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, revenue in cents; conversi
• request_widget_publish Sends messages · ~268 tokens
  Ask 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 approves it in the dashbo
• start_experiment ~422 tokens
  Split 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 practical limit: eve
• stop_experiment ~145 tokens
  End a running experiment. Counts stop with it; starting a new one on the same widgets begins with fresh counts, not a resume.
• update_ai_context ~381 tokens
  Change the AI context. This is the highest-leverage thing you can write here: it is tedious for a person to fill in and it improves every generation afterwards. Only the fields sent are changed. It holds what the site actually says, so testimonials and prices come from the owner. The AI context belo
• update_brand ~274 tokens
  Change 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 a hex value — it is
• update_campaign ~193 tokens
  Change 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.
• update_sequence ~588 tokens
  Change 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, and started again
• update_template ~232 tokens
  Change 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.
• update_widget ~2147 tokens
  Change 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 completions cannot be set

Browse

• Website monitoring
• Email
• Project management
• Forms and surveys

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