# persona-profile-mcp

> persona-profile-mcp — ibeeger-memory-mcp. Use this tool when you need to manage and retrieve information about individuals mentioned in conversations, such as contact details and personal facts. The persona-profile-mcp server solves problems related to data consistency and accessibility, enabling AI assistants to create, update, and search persona profiles efficiently. It accepts inputs like profile queries and fact updates, and outputs relevant information, making it ideal for use cases involving conversational AI and knowledge management.

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

## Description

A local MCP server that maintains a persona profile (contact library) for AI assistants, allowing them to create, search, retrieve, supplement, and correct information about people mentioned in conversations via tools like search_profiles, get_profile, create_profile, update_profile, add_facts, update_fact, and delete_fact.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iywus6th41)
- **Repository:** <https://github.com/ibeeger/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": "ibeeger-memory-mcp"
    }
  }
}
```

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