mcp-me

Your AI assistants don't know who you are. Every time you start a conversation with Claude, Copilot, Cursor, or Windsurf, it's a blank slate — no context about your skills, your projects, your career, or what you care about.

mcp-me fixes that. It creates a structured personal profile that any AI assistant can read via the Model Context Protocol (MCP). Think of it as a digital identity layer for AI — your bio, career, skills, interests, projects, and more, always available to every AI tool you use.

You: "Write me a cover letter for this job"
AI:  (reads your me://career, me://skills, me://projects)
     "Based on your 5 years at Acme Corp, your TypeScript expertise,
      and your open-source work on mcp-me..."

Why mcp-me?

• AI that knows you — Your assistants remember your skills, career, projects, and personality across every conversation
• Auto-generated — Pull data from 342+ sources (GitHub, Medium, Strava, Goodreads, and hundreds more) with one command
• Privacy-first — All data stays local in YAML files on your machine. Nothing is sent to any cloud.
• Real-time plugins — 13 live integrations (Spotify now playing, GitHub repos, Last.fm scrobbles) that AI queries on demand
• Extensible — Community-driven generators and plugins. Add a new data source in ~10 lines of code.
• Works everywhere — Claude Desktop, Cursor, Windsurf, Copilot, and any MCP-compatible AI assistant

Installation

Prerequisite: Node.js 20 or later. Verify with node -v.

Recommended — install globally:

npm install -g mcp-me

This makes the mcp-me command available everywhere on your system. No need to clone any repository — npm downloads the package for you.

mcp-me --help
mcp-me init ~/my-profile
mcp-me generate ~/my-profile
mcp-me serve ~/my-profile

Alternative — run without installing (via npx):

npx mcp-me --help

npx downloads the package temporarily and runs it. Useful for trying mcp-me once, but slower on repeated use since it re-downloads each time.

Quick Start

# 1. Initialize your profile (creates YAML templates + .mcp-me.yaml config)
mcp-me init ~/my-profile

# 2. Edit the config file — uncomment your sources
code ~/my-profile/.mcp-me.yaml

Your .mcp-me.yaml config file:

generators:
  github: your-username
  devto: your-username
  bluesky: handle.bsky.social
  zodiac: aquarius

plugins:
  github:
    enabled: true
    username: your-username

# 3. Generate! Reads sources from .mcp-me.yaml automatically
mcp-me generate ~/my-profile

# 4. Start the MCP server
mcp-me serve ~/my-profile

CLI flags also work: mcp-me generate ~/my-profile --github octocat --devto myuser

All commands work with npx (zero install) or with mcp-me directly if installed globally. The generate command pulls your data from public APIs and auto-populates profile YAML files — no API keys needed for most sources.

Profile directory structure

my-profile/
  .mcp-me.yaml        ← Configuration (generators + plugins)
  identity.yaml        ← Your data (name, bio, contact)
  skills.yaml          ← Your data (languages, tools)
  projects.yaml        ← Your data (portfolio)
  career.yaml          ← Your data (experience)
  interests.yaml       ← Your data (hobbies, topics)
  personality.yaml     ← Your data (traits, values)
  goals.yaml           ← Your data (short/long-term)
  faq.yaml             ← Your data (Q&A pairs)

Configure Your AI Assistant

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "me": {
      "command": "npx",
      "args": ["mcp-me", "serve", "/absolute/path/to/my-profile"]
    }
  }
}

Cursor

Add to .cursor/mcp.json in your project root:

{
  "mcpServers": {
    "me": {
      "command": "npx",
      "args": ["mcp-me", "serve", "/absolute/path/to/my-profile"]
    }
  }
}

Claude Desktop

Add to your Claude Desktop config:

{
  "mcpServers": {
    "me": {
      "command": "npx",
      "args": ["mcp-me", "serve", "/absolute/path/to/my-profile"]
    }
  }
}

Profile Schema

Your profile is a collection of YAML files:

See Schema Reference for full documentation.

MCP Interface

Resources

Static profile data exposed as MCP resources:

• me://identity — Personal identity and contact
• me://career — Professional history
• me://skills — Skills and proficiencies
• me://interests — Hobbies and preferences
• me://personality — Personality traits and values
• me://goals — Personal and professional goals
• me://projects — Portfolio and projects
• me://faq — Frequently asked questions

Tools

• ask_about_me — Free-form question about the user
• search_profile — Keyword search across all profile data

Prompts

• introduce_me — Generate a 2-paragraph introduction
• summarize_career — Summarize career trajectory
• technical_profile — Describe technical skills and stack
• collaboration_fit — Evaluate fit for a project

Generators (42 data sources)

Generators run during mcp-me generate to auto-populate your profile from public APIs. No API keys needed for most sources.

Want to add a new data source? See the Generator Creation Guide.

Plugins (13 live integrations)

Plugins run during mcp-me serve and provide real-time data to AI assistants on every query.

Enable plugins in .mcp-me.yaml:

plugins:
  github:
    enabled: true
    username: "your-username"
  spotify:
    enabled: true
    client_id_env: "SPOTIFY_CLIENT_ID"
    client_secret_env: "SPOTIFY_CLIENT_SECRET"
    refresh_token_env: "SPOTIFY_REFRESH_TOKEN"

Community plugins are installed from npm (mcp-me-plugin-*) and auto-discovered. See the Plugin Creation Guide.

Generators vs Plugins

CLI Reference

# Auto-generate profile from multiple data sources
mcp-me generate <dir> --github <user> [--devto <user>] [--stackoverflow <id>] ...

# Initialize with blank YAML templates
mcp-me init <directory>

# Validate profile YAML files
mcp-me validate <directory>

# Start the MCP server
mcp-me serve <directory>

# Scaffold a new generator or plugin (for contributors)
mcp-me create generator <name> [--category <category>]
mcp-me create plugin <name>

Development

# Clone the repo
git clone https://github.com/paladini/mcp-me.git
cd mcp-me

# Install dependencies
npm install

# Run tests
npm test

# Build
npm run build

# Run in dev mode
npm run dev

FAQ

What is MCP (Model Context Protocol)? MCP is an open standard by Anthropic that connects AI assistants to external data sources. mcp-me uses MCP to let AI assistants read your personal profile data.

Do I need API keys? Most generators use public APIs with no auth needed. Some (Strava, Spotify) require tokens — see the .mcp-me.yaml comments for details.

Can I use this with Claude Desktop / Cursor / Windsurf? Yes! Any MCP-compatible AI assistant works. See the Configure Your AI Assistant section.

How do I add a new data source? Run mcp-me create generator myservice to scaffold a new generator, or see the Generator Creation Guide.

Is my data stored anywhere? No. All data stays local in your YAML files. The MCP server reads from disk — nothing is sent to any cloud.

How many generators are there? 342+ generators across 24 categories — from GitHub and Medium to Zodiac signs and D&D alignment.

Contributing

We welcome contributions! Whether it's a new plugin, a bug fix, or documentation improvements — see CONTRIBUTING.md for guidelines.

License

MIT