# memory-mcp

> Use this tool when you need to manage persistent memory for AI coding assistants, resolving conflicts and ensuring seamless integration with services like Cursor and Claude Code. It provides a server-based solution for storing and retrieving data, accepting inputs from AI agents and outputting resolved memory states. Ideal for use cases requiring robust memory management in AI-driven coding environments.

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

## Description

A persistent, conflict-aware memory MCP server for AI coding assistants (Cursor, Claude Code).

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/emcnpx2vsg)
- **Repository:** <https://github.com/vinnyho/memory-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": "vinnyho-memory-mcp"
    }
  }
}
```

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