# io.github.annibale-x/mcp-memento

> Use this tool when you need to manage persistent memory and context across multiple sessions, solving problems of data loss and inconsistency. It provides a server-based solution, taking in session data as input and outputting a unified, persistent context. Ideal for applications requiring continuous memory and context management, such as chatbots, virtual assistants, or multi-session workflows.

Canonical page: https://skillsregistry.net/skills/io-github-annibale-x-mcp-memento  
JSON: https://api.skillsregistry.net/v1/skills/io-github-annibale-x-mcp-memento

## Description

An MCP server that provides persistent memory and context management across sessions

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.2.31
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.annibale-x%2Fmcp-memento)
- **Repository:** <https://github.com/annibale-x/mcp-memento>

## 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": "io-github-annibale-x-mcp-memento"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-annibale-x-mcp-memento` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-annibale-x-mcp-memento/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