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PopNx MCPMCP servers for people who use AI · explained in plain words

Otterkit

by useotterkitversion 0.12.2i★ –iRuns on your computer
Registry nameio.github.useotterkit/otterkit

Install

Overview

Description from the maker (original English)

Tunnels and webhooks for AI agents: capture, await, verify, replay, and send signed test events.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "otterkit": {
      "command": "npx",
      "args": [
        "-y",
        "otterkit",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add otterkit -- npx -y otterkit mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "otterkit": {
      "command": "npx",
      "args": [
        "-y",
        "otterkit",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "otterkit": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "otterkit",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account useotterkit, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32599 servers in this category
  • Published to the registry more recently than 18% of the other 32599 servers in this category
  • Basic checks equal to or better than 100% of the other 32599 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Otterkit safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.12.2) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Zendesk

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
Install

Zendesk

by pipeworx-io

Zendesk MCP Pack — tickets, users, organizations via OAuth.

Computer or cloudUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

OtterKit Agent Skills

Skills that teach AI coding agents (Claude Code, Cursor, Copilot — anything that reads the Agent Skills format) to drive OtterKit: tunnels and serverless webhook endpoints with capture, signature verification, and replay.

SkillWhat the agent learns
otterkitCore: tunnels, webhook endpoints, capture, inspect, replay, daemons, pricing
stripe-webhooksStripe: signed synthetic events, Stripe-Signature verification, re-signed replay
github-webhooksGitHub Apps: persistent capture endpoint, X-Hub-Signature-256 verification, replay
shopify-webhooksShopify: stable --tunnel-url for the CLI, HMAC verification, standby endpoints
slack-webhooksSlack: Events API via capture tunnel, signing-secret verification, re-signed replay

Install (Claude Code)

Copy any skill directory into .claude/skills/ in your project (or ~/.claude/skills/ for all projects):

git clone https://github.com/useotterkit/skill && cp -r skill/stripe-webhooks .claude/skills/

Or add the OtterKit MCP server, which exposes the same capabilities as tools:

claude mcp add otterkit -- npx otterkit mcp

What's different from a plain tunnel

Every skill leans on three things ngrok-class tools don't do:

  • `otterkit send` — synthetic provider events signed with real signature headers (stripe:payment_intent.succeeded, github:pull_request.opened, …) against a local handler, free, no provider account interaction.
  • `otterkit verify` — check captured deliveries against a signing secret, per request, with the failure reason.
  • `otterkit replay --resign` — re-deliver a captured event to local code, re-signed with a current timestamp so timestamp-tolerant handlers (Stripe, Slack) still accept it.

Skills are generated from the CLI's actual implementation and updated alongside it.

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