mcp-me
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
Documentation
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 329 registered generators (implemented across 44 generator source files) 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`.
One-Click Install
Add mcp-me to your AI assistant in one click — no path configuration needed (profile defaults to `~/.mcp-me`):
Claude Desktop: Download the latest `.mcpb` release and double-click to install, or drag it into Claude Desktop → Settings → Extensions.
After installing, initialize your profile:
mcp-me init
mcp-me generate --github your-usernamenpm (recommended)
npm install -g mcp-meThis 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
mcp-me generate --github your-username
mcp-me serveAlternative — 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.
> Profile location: Commands default to `~/.mcp-me`. Override with `MCP_ME_PROFILE_DIR` or pass an explicit path: `mcp-me serve ~/my-profile`.
Quick Start
# 1. Initialize your profile (creates YAML templates + .mcp-me.yaml in ~/.mcp-me)
mcp-me init
# 2. Edit the config file — uncomment your sources
code ~/.mcp-me/.mcp-me.yamlYour `.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
# 4. Start the MCP server
mcp-me serve> CLI flags also work: `mcp-me generate --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
~/.mcp-me/ → Default profile location
.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
One-Click (Cursor & VS Code)
Use the one-click install badges above. After installing, run `mcp-me init` to create your profile.
Cursor Plugin (Open Plugins)
mcp-me ships as a full Open Plugins plugin for Cursor. Install from cursor.directory or clone the repo — the plugin auto-detects all components:
| Component | Location | Purpose |
|---|---|---|
| MCP Server | `mcp.json` | Zero-config `npx -y mcp-me serve` |
| Rules | `rules/` | Always consult profile before answering |
| Skills | `skills/` | Profile usage and setup guides |
| Agents | `agents/` | Profile assistant and intro writer |
| Commands | `commands/` | `/ask-about-me` and `/introduce-me` |
| Hooks | `hooks/hooks.json` | Session-start profile reminder |
| LSP | `.lsp.json` | YAML language server for profile files |
Validate the plugin structure: `npm run validate:open-plugin`
Windsurf
Add to `~/.codeium/windsurf/mcp_config.json`:
{
"mcpServers": {
"me": {
"command": "npx",
"args": ["-y", "mcp-me", "serve"]
}
}
}Cursor (manual)
Add to `.cursor/mcp.json` in your project root:
{
"mcpServers": {
"me": {
"command": "npx",
"args": ["-y", "mcp-me", "serve"]
}
}
}VS Code (GitHub Copilot)
Add to `.vscode/mcp.json` in your project root (or in your User Settings for global access):
{
"servers": {
"me": {
"command": "npx",
"args": ["-y", "mcp-me", "serve"]
}
}
}> Tip: To enable it globally (all workspaces), open VS Code Settings (`Ctrl+Shift+P` → "Preferences: Open User Settings (JSON)") and add the `mcp` key there instead.
Claude Desktop
Option A — Desktop Extension (.mcpb, recommended):
1. Download `mcp-me.mcpb` from GitHub Releases
2. Double-click the file, or drag it into Claude Desktop → Settings → Extensions
3. Set your profile directory when prompted (default: `~/.mcp-me`)
4. Run `mcp-me init` if you haven't created a profile yet
Option B — Manual config:
Add to your Claude Desktop config:
{
"mcpServers": {
"me": {
"command": "npx",
"args": ["-y", "mcp-me", "serve"]
}
}
}Agent Instruction Files
AI agents read special Markdown files in your project to understand how they should behave. Pair them with mcp-me so that every AI session automatically consults your profile — no more repeating your stack, career, or preferences in every conversation.
| File | Works with |
|---|---|
| `AGENTS.md` (project root) | Windsurf (Cascade), OpenAI Codex, Cline, and others |
| `.github/copilot-instructions.md` | GitHub Copilot (VS Code + GitHub.com) |
Quick setup:
# AGENTS.md — for Windsurf, Cline, Codex, etc.
cp "$(npm root -g)/mcp-me/templates/AGENTS.md" ./AGENTS.md
# GitHub Copilot
mkdir -p .github
cp "$(npm root -g)/mcp-me/templates/.github/copilot-instructions.md" .github/copilot-instructions.mdBoth templates are included with mcp-me and tell the AI to call `ask_about_me` whenever context about you would improve the response.
See the Agent Instructions Guide for examples, global setup, and tips on combining with project-specific rules.
Profile Schema
Your profile is a collection of YAML files:
| File | Description |
|---|---|
| `identity.yaml` | Name, bio, location, languages, contact info |
| `career.yaml` | Work experience, education, certifications |
| `skills.yaml` | Technical and soft skills with proficiency levels |
| `interests.yaml` | Hobbies, music, books, movies, food preferences |
| `personality.yaml` | Values, traits, MBTI, strengths |
| `goals.yaml` | Short, medium, and long-term goals |
| `projects.yaml` | Personal and open-source projects |
| `faq.yaml` | Custom Q&A pairs about yourself |
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 (selected examples)
Generators run during `mcp-me generate` to auto-populate your profile from public APIs or user-provided exports. No API keys needed for most sources.
Current counts:
- Registered generators: 329
- Generator source files: 44 single-generator files + 15 batch files (`src/generators/`)
> The table below is a curated list of commonly used generators. The complete source of truth is `src/generators/index.ts`.
| Category | Flag | Source | Data |
|---|---|---|---|
| Code | `--github ` | GitHub API | Repos, languages, stars, profile |
| Code | `--gitlab ` | GitLab API | Projects, topics, profile |
| Code | `--bitbucket ` | Bitbucket API | Repos, languages |
| Code | `--huggingface ` | Hugging Face API | Models, datasets, spaces |
| Code | `--kaggle ` | Kaggle API | Competitions, datasets, medals |
| Code | `--codeberg ` | Gitea API | Repos, languages |
| Writing | `--devto ` | DEV.to API | Articles, tags, reactions |
| Writing | `--medium ` | Medium RSS | Articles, categories, article text |
| Writing | `--blogger-backup ` | Blogger XML export | Imported posts from a local backup, filtered by author if needed |
| Writing | `--hashnode ` | Hashnode GraphQL | Blog posts, tags |
| Writing | `--substack ` | Substack RSS | Newsletter posts, article text |
| Writing | `--wordpress ` | WordPress API | Blog posts, categories, tags |
| Writing | `--openlibrary ` | Open Library API | Books authored |
| Writing | `--orcid ` | ORCID API | Academic publications |
| Writing | `--semanticscholar ` | S2 API | Research papers, citations |
| Writing | `--youtube ` | YouTube RSS | Videos, channel info |
| Community | `--stackoverflow ` | Stack Exchange API | Top tags, reputation, badges |
| Community | `--hackernews ` | HN Firebase API | Karma, submissions |
| Community | `--mastodon ` | Mastodon API | Posts, hashtags, bio |
| Community | `--bluesky ` | AT Protocol API | Posts, followers |
| Community | `--reddit ` | Reddit JSON API | Karma, bio |
| Community | `--producthunt ` | ProductHunt GraphQL | Launched products, upvotes |
| Community | `--threads ` | Threads API | Bio, follower stats |
| Packages | `--npm ` | npm Registry | Published packages |
| Packages | `--pypi ` | PyPI JSON API | Package metadata |
| Packages | `--crates ` | Crates.io API | Rust crates |
| Packages | `--dockerhub ` | Docker Hub API | Container images |
| Activity | `--wakatime ` | WakaTime API | Coding time, languages, editors |
Blogger XML Backup
`--blogger-backup` imports written content from a Blogger XML export file on disk. It is designed for archived or multi-author blogs where you want to recover your posts even if the site is old, partially offline, or not easily queryable through a public API.
By default it imports all post entries from the file. If the backup contains multiple authors, append `::author1,author2,...` after the file path to keep only posts whose author name or email matches one of those values.
Examples:
# Import all posts from a Blogger export
mcp-me generate --blogger-backup ~/Downloads/blog-2026-03-24.xml
# Import only posts written by specific authors/emails
mcp-me generate --blogger-backup "~/Downloads/blog.xml::fernandopalad@gmail.com,fnpaladini@gmail.com,Fernando Paladini"How to get the export file:
1. Open Blogger and choose your blog.
2. Go to `Settings`.
3. In `Manage blog`, click `Back up content`.
4. Download the XML file.
5. Pass that file path to `--blogger-backup`.
The generator imports matching posts into `projects.yaml` with `category: article`, preserves post labels as tags, and adds summary FAQ entries about the archive.
| Activity | `--letterboxd ` | Letterboxd RSS | Films watched, ratings |
|---|---|---|---|
| Activity | `--goodreads ` | Goodreads RSS + author page | Read books, shelves, reviews, published books |
| Activity | `--chess ` | Chess.com API | Rating, stats |
| Activity | `--lichess ` | Lichess API | Rating, games |
| Activity | `--codewars ` | Codewars API | Rank, honor, languages |
| Activity | `--leetcode ` | LeetCode GraphQL | Problems solved, contests |
| Activity | `--lastfm ` | Last.fm API | Listening history, top artists |
| Activity | `--steam ` | Steam API | Games, playtime |
| Activity | `--twitch ` | Twitch API | Stream info |
| Activity | `--dribbble ` | Dribbble | Design shots, portfolio |
| Activity | `--unsplash ` | Unsplash API | Photos, downloads, collections |
| Activity | `--exercism ` | Exercism API | Language tracks, exercises |
| Activity | `--hackerrank ` | HackerRank API | Badges, challenges solved |
| Activity | `--anilist ` | AniList GraphQL | Anime/manga stats, genres |
| Identity | `--gravatar ` | Gravatar API | Bio, linked accounts, photo |
| Identity | `--keybase ` | Keybase API | Verified identity proofs |
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.
| Plugin | Description | Auth |
|---|---|---|
| GitHub | Live repos, activity, languages | Optional token |
| Spotify | Now playing, top artists, playlists | OAuth required |
| Professional history from export | Local JSON file | |
| WakaTime | Live coding stats, languages | Optional API key |
| DEV.to | Live articles, reactions | Optional API key |
| Bluesky | Live posts, profile, followers | None |
| Hacker News | Live stories, karma | None |
| Live karma, posts | None | |
| GitLab | Live projects, activity, MRs | Optional token |
| Mastodon | Live toots, profile, engagement | None |
| YouTube | Live videos, channel stats | Optional API key |
| Last.fm | Now playing, top artists, scrobbles | Optional API key |
| Steam | Currently playing, game library | Optional API key |
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
| Generators | Plugins | |
|---|---|---|
| Run when | `mcp-me generate` (once) | `mcp-me serve` (continuously) |
| Output | Static YAML files | Live MCP resources/tools |
| Auth | Almost never needed | Sometimes (OAuth) |
| Example | "Repos I had in March" | "Repos I have right now" |
| Extend | Add `src/generators/*.ts` | Add `src/plugins/*/` |
CLI Reference
# Auto-generate profile from multiple data sources
mcp-me generate [--directory] --github [--devto ] [--stackoverflow ] ...
# Initialize with blank YAML templates (defaults to ~/.mcp-me)
mcp-me init [directory]
# Validate profile YAML files
mcp-me validate [directory]
# Start the MCP server (defaults to ~/.mcp-me)
mcp-me serve [directory]
# Scaffold a new generator or plugin (for contributors)
mcp-me create generator [--category ]
mcp-me create plugin> Profile location: Defaults to `~/.mcp-me`. Override with `MCP_ME_PROFILE_DIR` or pass an explicit `[directory]` argument.
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 devFAQ
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 / VS Code / Cursor / Windsurf?
Yes! Any MCP-compatible AI assistant works. See the Configure Your AI Assistant section.
How do I make AI agents use my profile automatically?
Drop an `AGENTS.md` (for Windsurf, Cline, Codex) or `.github/copilot-instructions.md` (for GitHub Copilot) into your project. Templates are included — see the Agent Instructions Guide.
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?
Currently 329 registered generators, implemented across 44 generator source files plus 15 batch files.
Contributing
We welcome contributions! Whether it's a new plugin, a bug fix, or documentation improvements — see CONTRIBUTING.md for guidelines.
Maintainers: see Publishing Guide for release and distribution instructions.
License
Frequently asked questions
What is mcp-me?
mcp-me is 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
How do I install mcp-me?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is mcp-me open source?
Yes — it is hosted on GitHub at https://github.com/paladini/mcp-me and has 18 stars.
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