# mcp-me

mcp-me gives an AI assistant MCP access to a structured profile of your skills, work history, projects, and interests. Use it when replies need personal context.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI · ★ 21
- Author: paladini
- License: MIT · policy=link-only · description only; the file stays with the author
- Source: https://github.com/paladini/mcp-me
- Updated: 2026-08-11
- HTML: https://affpapa.org/en/nevibecode/mcp/mcp-me

## What it does

The server reads profile data from YAML files and makes it available to an assistant through MCP. Run `mcp-me init` to create the templates, then use `mcp-me generate` to fill them from configured sources. Most sources work without API keys.

The profile can hold details about your identity, skills, projects, career, goals, and interests. Plugins can also provide live data when the assistant requests it, including GitHub repository information and Last.fm listening activity. Profile files stay on your machine.

Node.js 20 or later is required to run the commands. You can set a different profile location with `MCP_ME_PROFILE_DIR`.

## Requirements
- Needs: Node.js (commands run via npx)
- Environment variables: `MCP_ME_PROFILE_DIR` — keys and tokens: ask the human for the values, never commit them or put them in shared files.

## Install

### Claude Code (native platform)

**Platform CLI**
```bash
claude mcp add --env MCP_ME_PROFILE_DIR=<MCP_ME_PROFILE_DIR> --transport stdio mcp-me -- npx -y mcp-me
```
Replace <…> with your own values

### Codex

**Platform CLI**
```bash
codex mcp add mcp-me --env MCP_ME_PROFILE_DIR=<MCP_ME_PROFILE_DIR> -- npx -y mcp-me
```
Replace <…> with your own values

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "mcp-me": {
            "command": "npx",
            "args": [
                "-y",
                "mcp-me"
            ],
            "env": {
                "MCP_ME_PROFILE_DIR": "<MCP_ME_PROFILE_DIR>"
            }
        }
    }
}
```
Replace <…> with your own values

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "mcp-me": {
            "type": "stdio",
            "command": "npx",
            "args": [
                "-y",
                "mcp-me"
            ],
            "env": {
                "MCP_ME_PROFILE_DIR": "<MCP_ME_PROFILE_DIR>"
            }
        }
    }
}
```
Replace <…> with your own values

### Gemini CLI

**Platform CLI**
```bash
gemini mcp add -e MCP_ME_PROFILE_DIR=<MCP_ME_PROFILE_DIR> mcp-me npx -y mcp-me
```
Replace <…> with your own values

## When to use it
- give an assistant context about your skills and work history
- populate profile files from public data sources
- share project details and goals with an AI assistant
- let an assistant query live data from enabled plugins

## Example prompts
- Write a cover letter using the experience, skills, and projects in my profile.
- Describe my projects and pick the ones that fit this task.
- What skills and interests are in my profile?

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