# MCP Memory Service - TypeScript

> Use this tool when you need to provide AI assistants with persistent storage and semantic search capabilities for entity management. It solves problems related to data persistence, synchronization, and isolation in multi-tenant environments, particularly with macOS and Google contacts and calendars. The service accepts and returns data via the Model Context Protocol, making it suitable for applications requiring secure and scalable data management.

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

## Description

A cloud-based vector memory service that provides AI assistants with persistent storage, semantic search, and entity management via the Model Context Protocol. It features multi-tenant isolation and bidirectional synchronization with macOS and Google contacts and calendars.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vu7n6vodj6)
- **Repository:** <https://github.com/bobmatnyc/mcp-memory-ts>

## 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": "bobmatnyc-mcp-memory-ts"
    }
  }
}
```

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

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