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

MyAITwin

by LutoLabsversion 1.0.0i★ –iRuns in the cloud
Registry namecom.lutolearn/myaitwin

Install

Overview

Description from the maker (original English)

A personal RAG database you build from chat, so AI creates work that sounds like you.

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 in the cloud
  • Transport: Streamable HTTP
  • Category: Chat & email

Install

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

Before you install

  • Basic checks: 0 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

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

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://myaitwin.lutolearn.com/mcp

Run this in your terminal

claude mcp add --transport http myaitwin https://myaitwin.lutolearn.com/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "myaitwin": {
      "url": "https://myaitwin.lutolearn.com/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": {
    "myaitwin": {
      "type": "http",
      "url": "https://myaitwin.lutolearn.com/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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://myaitwin.lutolearn.com/mcp

Menu names can differ slightly by plan and over time.

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

We have not read this server’s tool list yet; we check endpoints in rotation.

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 8, 2026

  • ! Caution

    Maker matches the repo

    The publisher (lutolearn.com) is not the repo owner (LutoLabs); someone else may have listed it

  • … 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 checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Chat & emaili

  • More stars than 0% of the other 1846 servers in this category
  • Published to the registry more recently than 10% of the other 1846 servers in this category
  • Basic checks equal to or better than 23% of the other 1846 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 MyAITwin safe?

It passed 0 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Vexa, emailmd, MCP WhatsApp Cloud

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

Vexa

by Vexa-ai

Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.

Runs in the cloud★ 2,949Apache-2.0Updated 2 months ago
Install

emailmd

by anypost

Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.

Computer or cloud★ 1,385MITUpdated 32 days ago
Install

MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API

Runs on your computer★ 277MITUpdated 5 months ago
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.

MyAITwin MCP

A personal RAG database and semantic search engine you build and control from inside your AI chat. Store your knowledge, voice, and skills as you work. Retrieve them in seconds, source always cited. Your AI then creates output that is recognisably you, in every conversation.

Live at https://myaitwin.lutolearn.com. Free during early access.

What it is

MyAITwin is two things at once.

The toolbox. A production-grade RAG database with semantic search that you shape from chat. You define the structure, the types, the tags. It is yours, it is visible, and you are the architect of it.

The twin. The layer on top that greets you, guides you, assesses what you store, and creates output that sounds like you. It knows the difference between what you know (your knowledge) and how you say things (your skills), and it uses both.

Install

Three steps. Under two minutes.

  1. Sign up at https://myaitwin.lutolearn.com/ with your email.
  2. Click the magic link, then copy your personal MCP URL from /create.
  3. In Claude Desktop: Settings → Connectors → Add custom connector → paste your URL.

Or use the canonical OAuth-authenticated endpoint:

  • URL: https://myaitwin.lutolearn.com/mcp
  • Transport: Streamable HTTP
  • Auth: OAuth 2.1 with PKCE (S256) and Dynamic Client Registration

Requires a client with MCP capability. Currently Claude Pro, Claude Team, and ChatGPT Pro.

The 19 tools

Storing knowledge

ToolWhat it does
add_knowledgeStore a typed, tagged knowledge item
add_voice_noteStore a voice note transcript with automatic extraction
add_documentStore a long document with automatic chunking
add_from_urlFetch and store a web page
add_reference_recordStore a creation event linking knowledge and skills used

Retrieving knowledge

ToolWhat it does
search_twinSemantic search across all knowledge
search_for_creationDual search returning skills and knowledge separately
get_by_typeRetrieve all items of a specific type
get_by_tagRetrieve all items with a specific tag
list_recentList recently added items

Understanding your twin

ToolWhat it does
get_schemaOverview of your types and how many items you have
get_sourcesList all source documents
find_patternsSurface recurring patterns across your knowledge
synthesiseSynthesise across multiple knowledge items on a topic

Managing your twin

ToolWhat it does
get_welcomeSession initialisation and system prompt
update_knowledgeUpdate an existing item
add_schema_typeDefine a new knowledge type
update_schema_typeUpdate an existing type definition
delete_knowledgeDelete an item (destructive)

All tools are annotated with title, readOnlyHint, and destructiveHint per the MCP spec. Of the 19: 10 read-only, 8 write (non-destructive), 1 destructive (delete_knowledge).

How it works

RAG is Retrieval-Augmented Generation. It is the architecture that lets AI answer using your specific knowledge rather than its training data alone.

Two layers:

  • Supabase (PostgreSQL) for structured records with types, tags, and provenance.
  • Pinecone for vector embeddings, so you can search by meaning rather than exact words.

When you search, both layers work together and return results ranked by relevance. Every result is cited with source and date, and tagged with provenance: personal (your own thinking), organisational (from your organisation), or external (from someone else).

The architectural insight worth getting right:

Knowledge is what you know. Facts, decisions, transcripts, observations.

Skills are how you express things. Your LinkedIn voice. Your email style. Your proposal structure.

Exceptional output needs both. Take a meeting transcript and ask for a follow-up email. The twin needs the transcript and your email skill to produce something that is accurate and unmistakably yours. Neither alone is enough.

Security and privacy

  • Bearer token authentication on every request, hashed at rest.
  • OAuth 2.1 with PKCE for connector-style integration. No shared secrets, no static credentials.
  • Multi-tenant data isolation: each user lives in their own namespace. Other users can never read your data. Verified by a 35-check cross-tenant test suite.
  • Rate limiting per tenant.
  • Append-only audit log on every tool call.
  • Prompt injection guardrails on stored content.
  • Your data is used only to provide the service. Never used to train AI models. Never shared with third parties.
  • You can delete your account and all data instantly from /create. Deletion is immediate and irreversible.

Privacy policy: https://myaitwin.lutolearn.com/privacy Security contact: security@lutolearning.com Privacy contact: privacy@lutolearning.com

Distribution

  • Official MCP Registry: com.lutolearn/myaitwin
  • Anthropic Connectors Directory: submitted, in review
  • Listed at: Glama, mcp.so, mcp.directory, mcpserverfinder, Hugging Face, awesome-mcp-servers

License

MIT. See LICENSE.

Links

  • Website: https://myaitwin.lutolearn.com
  • Documentation: https://myaitwin.lutolearn.com/docs
  • Privacy: https://myaitwin.lutolearn.com/privacy
  • Support: support@lutolearning.com

*MyAITwin MCP by Luto.*

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