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paladini/mcp-me

by Various

Your AI assistants don't know who you are. mcp-me fixes that: a local MCP server that gives any AI a full picture of who you are

P

MCP

paladini/mcp-me

Added 1 June 2026

#ai #ai-assistant #claude #cli #cursor #generator #llm #mcp

Overview

A local MCP server that exposes your identity, preferences, and background to any MCP-compatible AI assistant. It runs on your machine and provides a structured profile so assistants can personalize responses without repeated setup.

Best for

Best for
Developers who want a single source of truth for personal context across AI tools

Use cases

  • Personalizing AI answers with your job role and expertise
  • Giving every AI tool consistent context about your goals
  • Eliminating the need to reintroduce yourself in each session

How to use

Install

npx mcp-me --help

Tools exposed

  • ask_about_me
  • search_profile

Tested with

Claude Desktop, Cursor, Windsurf, Cline, VS Code, ChatGPT

Notes

A local MCP server that exposes your identity, preferences, and background to any MCP-compatible AI assistant. It runs on your machine and provides a structured profile so assistants can personalize responses without repeated setup.

4 stars on GitHub. Last updated 2026-03-25. Licensed MIT.

Use cases

  • Personalizing AI answers with your job role and expertise
  • Giving every AI tool consistent context about your goals
  • Eliminating the need to reintroduce yourself in each session

Pros

  • Lightweight TypeScript server with no external services
  • Works across any MCP-compatible assistant or IDE
  • Keeps your profile fully local under your control

Cons

  • Requires the assistant to support the MCP protocol
  • Profile must be manually defined and updated
  • Local-only so not available on other devices without setup

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Lightweight TypeScript server with no external services
  • Works across any MCP-compatible assistant or IDE
  • Keeps your profile fully local under your control

Cons

  • Requires the assistant to support the MCP protocol
  • Profile must be manually defined and updated
  • Local-only so not available on other devices without setup
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