mcp-me MCP server

by paladini·io.github.paladini/mcp-me·v0.6.0·18 stars

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Expose your personal, professional, educational, and social profile to any AI assistant via MCP.

A88/100grade A

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Safety scan

A88/100

full report

Adoption

Growing

18 stars59 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

mcp-me tools (18)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

ask_about_me
Ask any question about this person and get an answer based on their complete profile. Covers: bio, career history, skills, projects, interests, personality, goals, and FAQ. Examples: 'What programming languages do they know?', 'Where do they work?', 'What books have they written?'
get_bluesky_posts
Get recent posts from …
get_devto_latest
Get the most recent articles by …
get_github_repos
List public repositories for …
get_gitlab_projects
List projects for … with optional filters
get_hn_karma
Get current karma and submission count for …
get_lastfm_now_playing
Check what … is listening to right now
get_lastfm_top
Get top artists or tracks for …
get_mastodon_posts
Get recent toots from …
get_reddit_karma
Get live karma breakdown for u/…
get_spotify_music_taste
Get a summary of music taste based on top artists and genres
get_spotify_now_playing
Get the currently playing track on Spotify (or most recently played)
get_steam_playtime
Get total gaming playtime stats
get_steam_recent_games
Get recently played games for …
get_wakatime_today
Get how much coding has been done today, in which languages and projects
get_youtube_videos
Get recent videos from the channel
search_linkedin_data
Search through the LinkedIn export data for specific information
search_profile
Search across the entire personal profile for a keyword or phrase. Searches through: name, bio, job titles, companies, skill names, project names, article titles, book titles, social links, FAQ answers, and more. Returns matching fields with their location in the profile.

Public scan report

scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it

no findings

Code scan13 source files scanned25/25
–Live reliabilityno gateway calls yet and no remote to proben/a
–Tool poisoningtools not inspected (local package is not executed); not countedn/a
Auth qualitylocal package, no credentials required12/15
Maintenancelast push 46 days ago12/15
Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Overall 88/100. Components that don't apply are left out of the denominator. Any critical finding is an F.Rubric Appeal a finding JSON

How mcp-me compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score: 88/100; higher than 75% of 48,255 servers
Tools: 18; the typical server has 7
Tools that change things: 0%; typical: 0%. Fewer write tools means less an agent can break
GitHub stars: 18; more than 90% of 28,688 servers
Downloads a week: 59; more than 48% of 12,191 servers with a package

What its tools let an agent do: 18 read

Install mcp-me in Claude Code, Cursor or VS Code

Runs npx -y mcp-me on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add mcp-me -- npx -y mcp-me

Add to Cursor

What the publisher says

From the mcp-me repository's README, as published. We do not edit it. Read it on GitHub

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-username

npm (recommended)

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
mcp-me generate --github your-username
mcp-me serve

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.

Profile location: Commands default to ~/.mcp-me. Override with MCPMEPROFILE_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.yaml

Your .mcp-me.yaml config file:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

mcp-me: common questions

Is mcp-me MCP server safe?: Yes, by our scan: it is graded A (88/100). Read the mcp-me safety report
How do I install mcp-me?: It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does mcp-me need an API key?: No secret keys are declared. It reads 1 setting from the environment.
Is mcp-me maintained?: The last commit was 85 days ago (2026-08-11). The latest release is v0.6.0.
How does mcp-me compare with other MCP servers?: safety score 88/100 (higher than 75% of 48,255 servers); tools 18 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.