# Claude Memory MCP Server

> Use this tool when you need to capture and retrieve user preferences, facts, and conversation history across sessions, solving problems of contextual understanding and personalization in user interactions. It takes in user data and conversation history as inputs and provides semantic search results and integrated outputs with the Claude desktop application. Ideal for use in applications requiring persistent memory and contextual understanding, such as chatbots and virtual assistants.

Canonical page: https://skillsregistry.net/skills/towan912-claude-memory-mcp-cf  
JSON: https://api.skillsregistry.net/v1/skills/towan912-claude-memory-mcp-cf

## Description

Provides a tiered, persistent memory architecture for Claude to automatically capture and retrieve user preferences, facts, and conversation history across sessions. It supports semantic search and seamless integration with the Claude desktop application using the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.47
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q89zr4v4cz)
- **Repository:** <https://github.com/towan912/claude-memory-mcp-cf>

## 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": "towan912-claude-memory-mcp-cf"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/towan912-claude-memory-mcp-cf` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/towan912-claude-memory-mcp-cf/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