# MCP Work History Server

> Use this tool when you need to automatically track and log AI tool activities with detailed metrics. It solves problems related to activity monitoring, cost tracking, and worklog management by generating daily markdown worklog files with timestamps, token usage, and costs. The MCP Work History Server takes AI tool activities as input and produces organized markdown files as output, ideal for use cases requiring transparent and auditable AI tool usage.

Canonical page: https://skillsregistry.net/skills/nocoo-mcp-work-history  
JSON: https://api.skillsregistry.net/v1/skills/nocoo-mcp-work-history

## Description

A Model Context Protocol server that enables AI tools to automatically log their activities with detailed metrics like timestamps, token usage, and costs into daily markdown worklog files.

## 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:** monitoring
- **Updated:** 2026-04-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sn1bim588a)
- **Repository:** <https://github.com/nocoo/mcp-work-history>

## 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": "nocoo-mcp-work-history"
    }
  }
}
```

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