# MCP Memory

> Use this tool when you need to retain user context and personalize interactions across multiple conversations. It solves problems of information loss and inconsistent user experiences by storing user data and preferences using vector search technology. With persistent storage and semantic similarity matching, it provides inputs of user information and outputs personalized responses, ideal for use in chatbots and virtual assistants.

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

## Description

Enables MCP clients to remember user information, preferences, and behaviors across conversations using vector search technology. Built on Cloudflare infrastructure with persistent storage and semantic similarity matching.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z039qiwa9w)
- **Repository:** <https://github.com/jonaheaton/mcp-memory>

## 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": "jonaheaton-mcp-memory"
    }
  }
}
```

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