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persnally

v1.0.0

Published

MCP server that learns from your AI conversations and sends personalized digests

Readme

Persnally

An MCP server that learns from your conversations with Claude and sends you personalized digests.

Your AI already knows what you care about. Persnally gives it a way to remember.

How It Works

  1. You install Persnally as an MCP server in Claude Desktop
  2. As you chat, Claude calls persnally_track to note what you're interested in
  3. Persnally builds a local interest graph (no raw messages stored)
  4. Daily/weekly, it curates a personalized digest and emails it via Resend

Install

npm install -g persnally

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "persnally": {
      "command": "persnally",
      "args": []
    }
  }
}

Restart Claude Desktop, then tell Claude:

"Set my Persnally email to [email protected]"

That's it. Start chatting — Persnally learns automatically.

MCP Tools

| Tool | Description | |------|-------------| | persnally_track | Extracts topics, intent, and sentiment from conversations. Called automatically by Claude. | | persnally_interests | Shows your current interest profile grouped by category. | | persnally_digest | Generates and sends your personalized digest email. | | persnally_config | Set email, frequency (daily/weekly), API preferences. | | persnally_forget | Remove a topic or clear all data. Full privacy control. |

Interest Graph

Persnally doesn't just store a flat list of interests. It builds a weighted graph with:

  • Exponential decay — 7-day half-life keeps the graph fresh
  • Sentiment awareness — "I hate CSS" deprioritizes CSS content
  • Depth scoring — A brief mention scores differently than a deep dive
  • Intent tracking — Learning, building, researching, debugging shape content selection
  • Topic normalization — "React.js", "React JS", "ReactJS" all merge to one node
  • Balanced allocation — Digest covers multiple categories proportionally

Privacy

Only structured signals are stored:

+ Topic name (e.g., "Rust async programming")
+ Weight (0.1 to 1.0)
+ Category, intent, sentiment
+ Entity names (e.g., "tokio", "axum")

Never stored: your messages, Claude's responses, code snippets, personal information.

Your interest graph is a JSON file at ~/.persnally/interest-graph.json. Read it, edit it, or delete it anytime.

Configuration

# Via Claude
"Set my Persnally email to [email protected]"
"Change my digest frequency to weekly"
"Show my Persnally interests"
"Remove Rust from my Persnally profile"
"Clear all my Persnally data"

# Environment variables (optional)
PERSNALLY_API_URL=https://api.persnally.com
PERSNALLY_API_KEY=your-key

Development

git clone https://github.com/sidpan2011/persnally.git
cd persnally/mcp_server/persnally
npm install
npm run build
npm test

License

MIT — github.com/sidpan2011/persnally