MyAITwin

com.lutolearn由 lutolearn.com 發布官方發布者v1.0.0更新於 Oct 26, 2026

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

已驗證Streamable HTTP可網頁執行資料庫知識與記憶

概覽

AI 產生的概覽

個人 RAG 資料庫與語意搜尋服務，讓助理保存你的知識與表達風格，並在標註來源的前提下取用。

可以做什麼
  • 儲存知識項目、語音筆記、長文件、擷取的網頁以及創作紀錄
  • 在所有知識中進行語意搜尋，或為創作任務分別檢索技能與知識
  • 依類型、依標籤取出項目，或列出最近新增的內容
  • 檢視結構與來源清單、找出反覆出現的模式，並就某個主題綜合多筆知識
  • 管理個人知識庫：初始化工作階段、更新項目、定義或修改知識類型，以及刪除項目
適用情境
適合希望助理在不同對話中產出帶有個人素材與語氣內容的情況，例如依會議紀錄和你儲存的郵件風格起草後續郵件。也適合願意在聊天中逐步建立並維護個人知識庫的人。
執行需求
需要連線到服務商的遠端 MCP 端點（Streamable HTTP 的 /mcp 網址），並以 OAuth 2.1（PKCE、動態用戶端註冊）登入。需以電子郵件與魔法連結註冊帳號，並使用支援 MCP 的用戶端；README 提到 Claude Pro、Claude Team 與 ChatGPT Pro。未宣告環境變數或請求標頭。
安裝前請注意
儲存的內容會傳送給服務商並由其保存，README 稱以 Supabase 與 Pinecone 作為儲存層，並聲明資料不用於訓練模型、不與第三方分享。多數工具會寫入資料，delete_knowledge 屬破壞性操作。帳號刪除被描述為立即且不可復原。服務僅在早期存取階段免費，條款可能變動。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 MyAITwin，將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存，絕不會在公開頁面上展示。
  3. 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。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式，或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南，先向你展示發布者、端點和登入方式，經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/com.lutolearn%2Fmyaitwin/install.md，並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前，先告訴我它的發布者、端點和登入方式，等我確認。不要把 API 金鑰寫進命令或我會提交的檔案；問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。

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

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.

  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: [email protected] Privacy contact: [email protected]

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

MyAITwin MCP by Luto.

來源：README.md，提交 2f1ce3d

工具

0
該伺服器需要登入，因此 SourceWeft 無法在沒有帳號的情況下讀取其工具，也未收錄。已連接帳號所能看到的內容可能因帳號及其權限而異。

版本歷史

1
  1. v1.0.0最新Sep 16, 2026

評分

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  • 已宣告認證方式必需10 分
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    請讓伺服器在無憑證時回應 tools/list，或發布可在沙箱中無憑證啟動的軟體包。

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