# Work Memory MCP Server

> Use this tool when you need to manage and organize complex work projects across multiple AI tools, enabling seamless storage, search, and retrieval of work content and context. It solves problems of information fragmentation and disorganization, providing a unified interface for structured work memory management. Ideal for use in multi-tool workflows, it accepts project data as input and outputs organized, searchable work memories.

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

## Description

Manages persistent work memories and context across AI tools, enabling structured storage, search, and retrieval of work content, tasks, and knowledge with session-based project organization.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ni2wpphkf8)
- **Repository:** <https://github.com/moontmsai/work-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": "moontmsai-work-memory-mcp"
    }
  }
}
```

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