MyAITwin MCP
@LutoLabs
关于 MyAITwin MCP
Personal knowledge twin with semantic search. Store voice notes, documents, URLs, principles, and skills from any AI chat, then retrieve them with inline provenance citations. Hosted, multi-tenant, with per-user bearer-token auth and full data isolation.
基本信息
配置
工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is MyAITwin MCP?
MyAITwin MCP is a hosted personal knowledge twin that enables semantic search across stored content. It stores voice notes, documents, URLs, principles, and skills from any AI chat and retrieves them with inline provenance citations. It is multi‑tenant with per‑user bearer‑token authentication and full data isolation.
How to use MyAITwin MCP?
The server is hosted and requires authentication via a per‑user bearer token. No installation is needed; users interact with the MCP server through an MCP‑compatible client. The README does not specify additional configuration commands.
Key features of MyAITwin MCP
- Semantic search across personal knowledge
- Store voice notes, documents, URLs, principles, skills
- Retrieve content with inline provenance citations
- Hosted multi‑tenant architecture
- Per‑user bearer‑token authentication
- Full data isolation per user
Use cases of MyAITwin MCP
- Save key insights from AI conversations for later retrieval
- Build a searchable personal knowledge base from diverse sources
- Re‑find past decisions or principles with citation evidence
- Capture voice notes and web URLs for long‑term reference
FAQ from MyAITwin MCP
What types of content can I store?
You can store voice notes, documents, URLs, principles, and skills.
How do I authenticate?
Authentication uses a per‑user bearer token.
Where is my data stored?
Data is stored in a hosted, multi‑tenant service with full data isolation per user.
Can I retrieve content with citations?
Yes, retrieved content includes inline provenance citations.
Is the service multi‑user?
Yes, it is a hosted, multi‑tenant service.
记忆与知识 分类下的更多 MCP 服务器
Jupyter Notebook MCP Server (for Cursor)
jbenoModel Context Protocol (MCP) server designed to allow AI agents within Cursor to interact with Jupyter Notebook (.ipynb) files
JupyterMCP - Jupyter Notebook Model Context Protocol Integration
jjsantos01A Model Context Protocol (MCP) for Jupyter Notebook
Obsidian MCP Server
cyanheadsRead, write, search, and surgically edit Obsidian vault notes, tags, and frontmatter via MCP. STDIO or Streamable HTTP.
MemoryMesh
CheMiguel23A knowledge graph server that uses the Model Context Protocol (MCP) to provide structured memory persistence for AI models.
minutes
silversteinEvery meeting, every idea, every voice note — searchable by your AI. Open-source, privacy-first conversation memory layer.
评论