# LedgerMem MCP Server

> Use this tool when you need to enable persistent memory storage and retrieval for AI assistants, allowing them to remember facts and context across conversations. It solves problems of contextual understanding and knowledge retention, providing a seamless user experience. The LedgerMem MCP Server takes in client requests as input and outputs stored memories and retrieved information, ideal for use in multi-turn conversations and personalized interactions.

Canonical page: https://skillsregistry.net/skills/ledgermem-getmnemo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ledgermem-getmnemo-mcp

## Description

Enables persistent memory storage and retrieval for MCP clients, allowing AI assistants to remember facts and context across conversations.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nt0frbwa14)
- **Repository:** <https://github.com/ledgermem/getmnemo-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": "ledgermem-getmnemo-mcp"
    }
  }
}
```

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