# Simple Timer MCP Server

> Use this tool when you need to track time intervals with precision, such as monitoring task durations or scheduling events, and require a simple server-based solution that provides token-based time tracking with millisecond or human-readable output. It solves problems like inaccurate time tracking, lack of timer uniqueness, and limited output formats. Ideal for use cases where precise interval timing is crucial, with inputs including timer start and check requests, and outputs including elapsed time in milliseconds or human-readable format.

Canonical page: https://skillsregistry.net/skills/tonyogbonna-simple-timer-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/tonyogbonna-simple-timer-mcp-server

## Description

An MCP server that provides interval timing functionality using token-based time tracking, allowing users to start timers with unique identifiers and check elapsed time in milliseconds or human-readable format.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jarwn0oewq)
- **Repository:** <https://github.com/tonyOgbonna/Simple-Timer-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": "tonyogbonna-simple-timer-mcp-server"
    }
  }
}
```

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