# Tempo MCP Server

> Use this tool when you need to streamline time tracking and worklog management in Jira, as it solves problems of manual data entry and provides a natural language interface for bulk operations. The Tempo MCP Server takes in natural language inputs and outputs managed worklogs, allowing for seamless integration with Jira and Tempo APIs. It is ideal for use cases where efficient time tracking and automated worklog management are crucial, such as in agile project management and team productivity monitoring.

Canonical page: https://skillsregistry.net/skills/ivelin-web-tempo-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ivelin-web-tempo-mcp-server

## Description

An MCP server for managing Tempo worklogs in Jira, allowing users to track time, retrieve logs, and perform bulk operations via natural language. It integrates with the Tempo API to support creating, editing, and deleting work entries through MCP-compatible clients like Claude and Cursor.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p5sf87mtwu)
- **Repository:** <https://github.com/ivelin-web/tempo-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": "ivelin-web-tempo-mcp-server"
    }
  }
}
```

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