# mcp-memori

> Use this tool when you need to maintain context across sessions and provide personalized responses. Memori's MCP server enables agents to store and recall relevant user facts and preferences, solving problems of information loss and inconsistent user experience. It takes in user interactions as input and outputs durable facts and memories, making it ideal for use cases requiring long-term context retention.

Canonical page: https://skillsregistry.net/skills/memorilabs-mcp-memori  
JSON: https://api.skillsregistry.net/v1/skills/memorilabs-mcp-memori

## Description

With Memori's MCP server, your agent can retrieve relevant memories before answering and store durable facts after responding, keeping context across sessions without any SDK integration.

With MCP, it can:

Store stable user facts and preferences after answering using the advanced_augmentation tool
Recall relevant memories before answering using the recall tool
Maintain context across sessions us

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gkxoq30r2y)
- **Repository:** <https://github.com/MemoriLabs/memori-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": "memorilabs-mcp-memori"
    }
  }
}
```

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