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mylife-mcp-server

mylife-mcp-server

Local
github.com/MookseMemory & Knowledge0Updated 80w ago
Repository

About mylife-mcp-server

MyLife is an AI-agent platform for capturing, shaping, and sharing memories, wisdom, stories, and ideas. This Nanda server is an early decentralized effort; it currently retrieves public memories and returns basic elements.

Key features

  1. 01Retrieve public memories
  2. 02Receive basic memory elements
  3. 03Decentralized server effort

Use cases

  1. 01Retrieve publicly available memories
  2. 02Access basic elements from shared memories

MCP support

The project is identified as an MCP server, but the README does not describe its MCP interface or specific exposed tools.

#mylife#ai-agent#memory-capture

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

README

MyLife is an AI-Agent platform that helps you capture, shape and share you cherished memories, wisdom, stories, ideas and more. This Nanda server is the first decentralized effort for sustainability and security. Currently one can only retrieve public memories, and receive basic elements. Next step is to create reliving memory experiences.

This codebase works currently as-is on my local with /venv installed, perhaps I am missing a dependency in requirements? It was done by hand. And then there may be the port confusion at the end of server.py which might result in unexpected outcomes when web-app'd.

If there are any questions, reach me at [email protected] or any contact element here.

@Mookse

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.