# Memanto MCP

> Use this tool when you need to enable long-term memory and recall for AI agents, helping them achieve goals and avoid confusion by storing and retrieving information. Memanto MCP solves problems of knowledge retention and context switching, allowing agents to learn from past interactions. It accepts input from agents, stores relevant data, and outputs recalled information to inform decision-making.

Canonical page: https://skillsregistry.net/skills/moorcheh-ai-memanto  
JSON: https://api.skillsregistry.net/v1/skills/moorcheh-ai-memanto

## Description

MEMANTO is a memory agent. It remembers, recalls, and answers - so your agents can achieve long-term goals and avoid confusion.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i2f3mmvjmy)
- **Repository:** <https://github.com/moorcheh-ai/memanto>

## 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": "moorcheh-ai-memanto"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/moorcheh-ai-memanto` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/moorcheh-ai-memanto/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