# memory-mcp-server

> Use this tool when you need to share context between Claude Code and Claude.ai interfaces, as it bridges the two by exposing project memory files over MCP. This enables seamless shared context across both interfaces, solving integration and consistency problems. It takes project memory files as input and provides shared context as output, ideal for use cases requiring unified project data access.

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

## Description

Bridges Claude Code and Claude.ai by exposing project memory files over MCP for shared context across both interfaces.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/odw5acrixt)
- **Repository:** <https://github.com/Ahmedaltu/memory-mcp-server>

## 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": "ahmedaltu-memory-mcp-server"
    }
  }
}
```

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