# EverHour MCP Server

> Use this tool when you need to integrate time tracking, project management, and expense tracking capabilities into your AI workflows. It enables interaction with EverHour's API to manage tasks, track time, and generate reports, solving problems related to project organization and productivity. Ideal for use cases requiring automated project monitoring and data analysis, it accepts API requests as input and returns relevant data as output.

Canonical page: https://skillsregistry.net/skills/umanshsarabhai-mcp-server-everhour  
JSON: https://api.skillsregistry.net/v1/skills/umanshsarabhai-mcp-server-everhour

## Description

Enables AI assistants to interact with EverHour's API for time tracking, project management, task management, expense tracking, and reporting.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qag5m8rm4h)
- **Repository:** <https://github.com/UmanshSarabhai/mcp-server-everhour>

## 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": "umanshsarabhai-mcp-server-everhour"
    }
  }
}
```

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