MyAITwin

lutolabs/mytwin-mcp

A personal RAG system that turns your chats into a searchable knowledge base where everything sounds like you when retrieved. You get 19 tools split between storing knowledge (add_knowledge, add_voice_note, add_from_url), retrieving it with semantic search (search_twin, get_by_type), and managing schema (add_schema_type). Runs on PostgreSQL for structured data and Pinecone for vector search. The architectural choice that matters: it separates what you know from how you say things, so when you ask for output it combines both. OAuth 2.1 authentication, multi-tenant isolation tested with 35 cross-tenant checks, and you control the type system from inside Claude. Free during early access at myaitwin.lutolearn.com.

tools: 19
transport: HTTP
last updated: May 24, 2026

View on GitHub

Tools

19 tools

Public tool metadata for what this MCP can expose to an agent.

add_knowledgeStore a piece of knowledge or a skill in your twin. Automatically tagged and embedded for search. The twin stores two fundamentally different things — knowledge (what the user knows: transcripts, decisions, ideas, observations) and skills (how they express things: their Linked...6 params

Store a piece of knowledge or a skill in your twin. Automatically tagged and embedded for search. The twin stores two fundamentally different things — knowledge (what the user knows: transcripts, decisions, ideas, observations) and skills (how they express things: their Linked...

Parameters* required

contentstring

The actual content — write it clearly, in the user's voice

provenancestring

Where this content originates. personal = the user's own thinking. organisational = from their organisation (e.g. team docs, internal). external = from outside (articles, reports, third-party autho...one of personal · organisational · external

source_refstring

Where this came from (document name, URL, etc.)

tagsarray

Manual tags to add on top of auto-generated ones

titlestring

Short label for this item (optional)

typestring

Type for this item. Common types: • skill — how you express something. Your LinkedIn voice, your email style, your proposal structure. The craft layer that shapes knowledge into output. • princip...

add_reference_recordRecord a creation event after the user has produced something with the twin's help — pairs knowledge used + skill applied + output produced + the nuance of this specific case. The system prompt instructs you to offer this after significant creation tasks; call it once the user...6 params

Record a creation event after the user has produced something with the twin's help — pairs knowledge used + skill applied + output produced + the nuance of this specific case. The system prompt instructs you to offer this after significant creation tasks; call it once the user...

Parameters* required

knowledge_idsarray

IDs of knowledge items used (from search_for_creation results)

nuancestring

What was different or adapted in THIS specific case — the lesson worth keeping

output_summarystring

One-paragraph summary of the output that was produced

skill_idstring

ID of the skill applied (from search_for_creation skills bucket)

tagsarray

Tags — inherit from the knowledge and skill plus any case-specific tags

titlestring

Short description of what was created (e.g. "LinkedIn post about Q3 outlook")

add_from_urlFetch a URL, extract what's worth knowing, and store it. The twin analyses the page against your existing schema and reports what it found before confirming what was stored.2 params

Fetch a URL, extract what's worth knowing, and store it. The twin analyses the page against your existing schema and reports what it found before confirming what was stored.

Parameters* required

notesstring

Why you're ingesting this — adds context to what gets stored

urlstring

The URL to fetch and analyse

add_documentIngest a document by providing its text content. Chunks and stores with source tracking. Good for PDFs, notes, reports.3 params

Ingest a document by providing its text content. Chunks and stores with source tracking. Good for PDFs, notes, reports.

Parameters* required

contentstring

The full text content of the document

filenamestring

Document name (used as source reference in all future results)

notesstring

Context about this document

add_voice_noteIngest a voice note transcript. The twin extracts principles, decisions, and ideas — identifying what you said that's worth keeping, in your language. Source is tracked as voice note + date.3 params

Ingest a voice note transcript. The twin extracts principles, decisions, and ideas — identifying what you said that's worth keeping, in your language. Source is tracked as voice note + date.

Parameters* required

datestring

Date of the voice note, e.g. "2026-05-16"

notesstring

What this voice note was about

transcriptstring

The full transcript text from Otter or similar

get_schemaShow what knowledge types exist in your twin, how many items of each type are stored, and the total knowledge base size.

Show what knowledge types exist in your twin, how many items of each type are stored, and the total knowledge base size.

No parameter schema in public metadata yet.

add_schema_typeAdd a new knowledge type. Do this from Claude chat — no database access needed. The type is immediately available for storing knowledge.2 params

Add a new knowledge type. Do this from Claude chat — no database access needed. The type is immediately available for storing knowledge.

Parameters* required

descriptionstring

What this type stores — one clear sentence

namestring

Type name — lowercase, short, e.g. "case-study" or "objection"

update_schema_typeUpdate the description of an existing knowledge type.2 params

Update the description of an existing knowledge type.

Parameters* required

descriptionstring

New description

namestring

The type name to update

search_twinSemantically search everything in your twin. Returns the most relevant items ranked by relevance, each with its source cited.3 params

Semantically search everything in your twin. Returns the most relevant items ranked by relevance, each with its source cited.

Parameters* required

querystring

What you're looking for — natural language

top_knumber

How many results to return (default 10, capped at 10)

typestring

Filter to a specific knowledge type

get_by_typeRetrieve all knowledge of a specific type, newest first.2 params

Retrieve all knowledge of a specific type, newest first.

Parameters* required

limitnumber

Max items to return (default 20)

typestring

Knowledge type to retrieve

get_by_tagRetrieve all knowledge with a specific tag.2 params

Retrieve all knowledge with a specific tag.

Parameters* required

limitnumber

Max items to return (default 20)

tagstring

Tag to filter by

search_for_creationUse this BEFORE any creation task ("help me write X", "I'm working on Y"). Runs two parallel searches and returns them separately: a SKILLS bucket (skill/voice/template — the craft layer) and a KNOWLEDGE bucket (knowledge/principle/brand/idea/resource — the material). Bring bo...2 params

Use this BEFORE any creation task ("help me write X", "I'm working on Y"). Runs two parallel searches and returns them separately: a SKILLS bucket (skill/voice/template — the craft layer) and a KNOWLEDGE bucket (knowledge/principle/brand/idea/resource — the material). Bring bo...

Parameters* required

output_typestring

What kind of output the user is creating (e.g. "linkedin-post", "client-proposal", "follow-up-email"). Used to track the skill gap if no matching skill exists.

querystring

What you're looking for — natural language, the task or topic at hand

synthesisePull everything relevant on a topic and return structured, usable output — ready to turn into a brief, a slide, or a team handoff. Every source cited.3 params

Pull everything relevant on a topic and return structured, usable output — ready to turn into a brief, a slide, or a team handoff. Every source cited.

Parameters* required

top_knumber

How many knowledge items to draw from (default 10, capped at 10)

topicstring

The topic or question to synthesise on

typestring

Focus synthesis on a specific knowledge type

find_patternsAnalyse your stored knowledge and surface recurring themes — principles you repeat without naming, patterns in how you think. Especially powerful after adding several voice notes.1 params

Analyse your stored knowledge and surface recurring themes — principles you repeat without naming, patterns in how you think. Especially powerful after adding several voice notes.

Parameters* required

focusstring

Focus analysis on a specific type, e.g. "principle" or "voice-note"

get_sourcesShow all documents, URLs, and voice notes that have been ingested — with what was extracted from each.1 params

Show all documents, URLs, and voice notes that have been ingested — with what was extracted from each.

Parameters* required

source_typestring

Filter by source typeone of document · url · voice-note

list_recentShow the most recently added knowledge items.2 params

Show the most recently added knowledge items.

Parameters* required

limitnumber

How many to show (default 10)

typestring

Filter to a specific type

update_knowledgeEdit a stored knowledge item. Provide the item ID and the fields to change.6 params

Edit a stored knowledge item. Provide the item ID and the fields to change.

Parameters* required

contentstring

New content (will be re-embedded)

idstring

The knowledge item ID (from search_twin or list_recent)

provenancestring

Update provenance: personal / organisational / externalone of personal · organisational · external

tagsarray

Replace tags

titlestring

New title

typestring

Change the type

delete_knowledgeRemove a knowledge item from your twin. This is irreversible.1 params

Remove a knowledge item from your twin. This is irreversible.

Parameters* required

idstring

The knowledge item ID to delete

get_welcomeReturns the user's personalised session opener — a short message that surfaces twin state, recent activity, and current focus. Call this on the user's first message each session, before responding to anything else.

Returns the user's personalised session opener — a short message that surfaces twin state, recent activity, and current focus. Call this on the user's first message each session, before responding to anything else.

No parameter schema in public metadata yet.

Readme

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.

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

Or use the canonical OAuth-authenticated endpoint:

View the full README on GitHub

Details

Repository: github.com/lutolabs/mytwin-mcp
Website: myaitwin.lutolearn.com
Categories: Databases, AI & LLM Tools, Communication & Messaging
Transport: HTTP
Registry: MCP registry, active

Related Databases MCP servers

View all

faostat-mcp-servercyanheads/faostat-mcp-serverUN FAOSTAT global food & agriculture statistics over a local SQLite mirror, via MCP.0stars

Mcp Server Mssqldaedalus/mcp-server-mssqlMCP server for Microsoft SQL Server using mssql-python0stars

Mcp Data Pipeline Connectordbsectrainer/mcp-data-pipeline-connectorUniversal data connector for CSV, Postgres, and REST APIs via DuckDB0stars

Mcpinstanode-dev/mcpProvision Postgres databases + webhooks from AI coding agents in one HTTP call.0stars

Mcp Datainfoinlet-marketplace/marketplaceTabular data for AI agents — load CSV/JSON/XLSX, query, group-by, stats (no database).0stars

AgentBuilderssirarchiemccarthy-oss/clawdDeploy full-stack web apps with database, file storage, auth, and RBAC via a single API call.0stars