# mcp-total-recall

> mcp-total-recall — mimis-gildi-mcp-total-recall. Use this tool when you need to implement persistent synthetic memory in your application, enabling attention-weighted recall of information across multiple sessions. It solves problems related to data retention and retrieval, particularly in scenarios where session-based data needs to be accessed and utilized over time. With inputs of session data and outputs of recalled information, this tool is ideal for use cases requiring robust and reliable memory management, leveraging Ktor and Redis for efficient data storage and retrieval.

Canonical page: https://skillsregistry.net/skills/mimis-gildi-mcp-total-recall  
JSON: https://api.skillsregistry.net/v1/skills/mimis-gildi-mcp-total-recall

## Description

MCP server for persistent synthetic memory -- attention-weighted recall across sessions using Ktor and Redis

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/Mimis-Gildi/mcp-total-recall)

## 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": "mimis-gildi-mcp-total-recall"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mimis-gildi-mcp-total-recall` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mimis-gildi-mcp-total-recall/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