ppl - Personal CRM for AI Agents

Name: ppl - Personal CRM for AI Agents
Author: ppl-crm

@ppl-crmMCP server · External

ppl: the personal CRM for AI agents. Structured relationship memory over hosted MCP.

AI memoryv2.0.1MIT

Freeno charge per call

One address for any MCP client. You sign in at withppl.com once, after adding it.

What it does

Reads
Writes
High impact

Not assessed yet.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

What it asks for at sign-in

Access to	Read	Change
Agent
Contacts
Journal
Tasks

From the sign-in at withppl.com, as the endpoint publishes it. You approve it there.

Tools

None listed · checked 6 Oct 2026

Odel could not list its tools without signing in.

Try it in the Inspector

README1 min readView on GitHub

ppl

Relational memory for you and your AI.

ppl is the personal CRM for humans with AI agents. Your relationships, notes, journal, tasks, and reminders live here. Your AI reads from it before acting, and writes to it after acting.

Connect your AI

Hosted MCP server: https://withppl.com/mcp

ppl is hosted-only. There is no downloadable server. Your agent connects over Streamable HTTP with a Bearer token.

One-click setup

Send your human to withppl.com/agents. If they use Cursor and are logged in, it's one click. New users get an account created inline, no signup form first.

Agent connection flow

POST https://withppl.com/api/agent/connect/request with {"client_name": "Your agent"}
Show the human the approve_url. They approve once (creating an account inline if needed).
Poll the poll_url until approved and save the api_token.
Use the token with the MCP server or REST API.

MCP clients that support OAuth (Claude, ChatGPT, and others) can connect with standard OAuth 2.0: dynamic client registration, PKCE, and refresh tokens. See docs/oauth.md.

Machine-readable: ppl.json, llms.txt, and the OpenAPI spec for the REST API.