# remember-mcp

> Use this tool when you need to manage multi-tenant memory systems with advanced search and access control features for AI assistants. It solves problems related to secure data storage, retrieval, and sharing, particularly in applications with multiple users or entities. The remember-mcp tool accepts data inputs and provides vector search results and relationship mappings as outputs, making it ideal for use cases that require trusted and controlled access to information.

Canonical page: https://skillsregistry.net/skills/prmichaelsen-remember-mcp  
JSON: https://api.skillsregistry.net/v1/skills/prmichaelsen-remember-mcp

## Description

Multi-tenant memory system MCP server with vector search, relationships, and trust-based access control for AI assistants.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cv8tgh2h8v)
- **Repository:** <https://github.com/prmichaelsen/remember-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": "prmichaelsen-remember-mcp"
    }
  }
}
```

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

---
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