# mcp-memory-keeper

> mcp-memory-keeper — mkreyman-mcp-memory-keeper. Use this tool when you need to manage persistent context in AI coding assistants, solving problems of lost information and inconsistent responses. It provides a server-based solution for storing and retrieving context, accepting inputs from AI models and outputting relevant context for informed decision-making. Ideal for use cases where continuity and accuracy are crucial, such as multi-turn conversations or collaborative coding environments.

Canonical page: https://skillsregistry.net/skills/mkreyman-mcp-memory-keeper  
JSON: https://api.skillsregistry.net/v1/skills/mkreyman-mcp-memory-keeper

## Description

MCP server for persistent context management in AI coding assistants

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-23

## Source

- **Source listing:** [GitHub](https://github.com/mkreyman/mcp-memory-keeper)

## 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": "mkreyman-mcp-memory-keeper"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mkreyman-mcp-memory-keeper` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mkreyman-mcp-memory-keeper/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