ppl
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@pplGive me my daily briefing and suggest who I should reach out to today."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
ppl
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/mcpTransport: 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.
Related MCP server: MIND MCP Server
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.
This server cannot be deployed
Maintenance
Related MCP Connectors
An AI-first personal CRM you run in natural language: contacts, reminders, notes, and more.
CRM, relationship intelligence, and multi-agent orchestration for AI agents.
Persistent memory and knowledge management for AI agents with semantic search and 50+ tools.
Open-source CRM your AI agents can write to: companies, people, deals, tasks, notes, pipeline.
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