# people-memory-mcp

> people-memory-mcp — michelgrolet-people-memory-mcp. Use this tool when you need to manage and recall information about individuals, leveraging a private and durable memory to build a personal people graph. It solves problems related to contact management, people search, and relationship mapping, accepting inputs from LinkedIn, Google Contacts, and WhatsApp. The tool provides a browser UI and PostgreSQL database outputs, ideal for use cases requiring organized and easily accessible people data.

Canonical page: https://skillsregistry.net/skills/michelgrolet-people-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/michelgrolet-people-memory-mcp

## Description

An MCP server that gives AI agents a private, durable memory of people, providing a personal people graph in PostgreSQL with tools to search, remember, and connect people, plus imports from LinkedIn, Google Contacts, and WhatsApp, and a browser UI.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ix0emkcjzq)
- **Repository:** <https://github.com/michelgrolet/people-memory-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "michelgrolet-people-memory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/michelgrolet-people-memory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/michelgrolet-people-memory-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt