mcp-me
A local profile system that supplies AI assistants with personalized user context.
Open SourceProductivity
Visit website Free to browse · updated 2026-06-21
What is mcp-me?
Users initialize a profile directory and configure data sources through a simple YAML file. The system then pulls information automatically from numerous online platforms and local exports, organizing everything into defined categories without relying on external cloud storage. Live plugins extend functionality by delivering real-time updates such as current activity or listening history during AI sessions. This setup supports seamless integration across multiple assistants while allowing community extensions for additional data connections. The entire process runs locally with commands for initialization, generation, and serving, ensuring data ownership and consistent personalization for tasks like writing or project suggestions.
Key features
Privacy-First local YAML storage with no cloud dependencies
329+ Auto-Generators from sources like GitHub, Medium, Strava
13 Live Plugins for real-time data (Spotify, GitHub, etc.)
Compatible with Claude Desktop, Cursor, Windsurf, Copilot via MCP
Fully Extensible with community generators and plugins
Config-Driven via single .mcp-me.yaml dotfile
8 structured YAML profile schemas (bio, career, skills, projects)
What you can use mcp-me for
Personalized Side Project Ideas
Receive AI suggestions tailored to your known skills like TypeScript and React along with interests such as music and goals like learning Rust.
Custom Cover Letter Writing
Generate cover letters that reference your specific career history, open-source projects, and technical expertise instead of generic templates.
Context-Aware Interview Preparation
Get interview advice and practice questions informed by your actual projects, skills, and professional background for more relevant feedback.
How to use mcp-me
- 1Install globally with npm install -g mcp-me
- 2Initialize a profile directory using mcp-me init
- 3Edit the .mcp-me.yaml config file with your data sources
- 4Run mcp-me generate to populate YAML profiles
- 5Start the server with mcp-me serve to enable AI access
mcp-me pricing
Pricing model: Open Source. Plan details are indicative — check the site for current prices.
Open Source
Free
- MIT License
- npm install -g mcp-me
- All generators and plugins
- Local YAML only
Editor's verdict
Pros
- +Personalized AI responses using your profile data from day one
- +All data remains private on your machine
- +Quick setup with auto-population from public APIs
Cons
- –Requires local CLI installation and configuration
- –Only works with MCP-compatible AI assistants
- –Command-line based workflow for initialization and serving
Our take: mcp-me is a solid productivity choice. It's valued for personalized ai responses using your profile data from day one and all data remains private on your machine. The main trade-off is requires local cli installation and configuration. A good pick if you want capable AI without a high upfront cost.
Frequently asked questions
All profile information is stored in local YAML files with no cloud dependencies or data transmission to external servers.
Summary
mcp-me is a solid productivity choice. It's valued for personalized ai responses using your profile data from day one and all data remains private on your machine. The main trade-off is requires local cli installation and configuration. A good pick if you want capable AI without a high upfront cost.
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