ppl

MCP serverProductivity

Personal CRM operated by AI agents. Read relationship context before acting, write back after.

Use ppl in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add ppl and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use ppl

Details

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Install ppl

The server’s own address, for the clients that take one directly. Or connect ahel once and every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user ppl 'https://ppl.gift/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://ppl.gift/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=ppl&config=eyJ1cmwiOiJodHRwczovL3BwbC5naWZ0L21jcCJ9

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://ppl.gift/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add ppl --url 'https://ppl.gift/mcp'

    Run it once, then sign in with codex mcp login ppl if the server asks for an account.

From the project's README

As published by ppl-crm/ppl in README.md.

The personal CRM for AI agents.

ppl is a personal CRM designed to be operated by AI agents. Your AI is the intelligence layer. ppl is the memory and data layer. The agent reads relationship context before acting, and writes back after.

The hosted service runs at ppl.gift. This repo holds the public agent interface: the MCP server contract, integration docs, and examples. The application itself is private.

Connect your agent

ppl exposes a Model Context Protocol server at:

https://ppl.gift/mcp

Transport: Streamable HTTP. Auth: Bearer token (per-user API token from ppl.gift settings).

80 tools covering: daily briefings, semantic search, person digests, suggested actions, interaction logging, and full CRUD for contacts, notes, tasks, reminders, calls, gifts, journal entries, addresses, relationships, places, debts, documents, and life events.

See docs/agents.md for the full integration guide.

Examples

Registry

server.json is the MCP registry manifest for this server.

License

MIT. See LICENSE.

Signals

Last commit
Oct 2026

ahel review

  • S4low
    published under dbhurley's namespace; repository belongs to ppl-crm

Automated review, not a security audit. Ruleset v1.

Advanced
Delivery
ppl MCP server → your ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
io-github-dbhurley-ppl
Source
github.com/ppl-crm/ppl
Hosted endpoint
https://ppl.gift/mcp