# Memory MCP Server

> Use this tool when you need to access shared memory across multiple AI tools, eliminating the need to repeat context switches. It solves the problem of information siloing between tools like Claude, ChatGPT, and Cursor, by providing a centralized memory repository. The Memory MCP Server takes in saved information as input and outputs accessible context to any connected AI tool.

Canonical page: https://skillsregistry.net/skills/membridge-membridge  
JSON: https://api.skillsregistry.net/v1/skills/membridge-membridge

## Description

MemBridge Memory MCP Server allows you to share your memory across multiple AI tools like Claude, ChatGPT, Cursor, and more. You save information once, and it becomes accessible from any AI tool you use. This eliminates the need to repeat the same context every time you switch tools.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/membridge/membridge)

## 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": "membridge-membridge"
    }
  }
}
```

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