ppl
MCP serverProductivityPersonal 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
Needs your own ppl account. You sign in to it and approve access when you connect.
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/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=ppl&config=eyJ1cmwiOiJodHRwczovL3BwbC5naWZ0L21jcCJ9Open the link and Cursor adds the server at that address.
ChatGPT
https://ppl.gift/mcpIn 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
- examples/python — minimal MCP client in Python
- examples/node — minimal MCP client in Node.js
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
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