# timepiece-mcp

> Use this tool when you need to analyze issue durations, status histories, and aggregated metrics in Jira, or when you want to query complex data using natural language. The timepiece-mcp server integrates with OBSS Timepiece Time in Status, providing insights into issue timelines and metrics. It accepts natural language queries as input and returns relevant data and metrics as output, making it ideal for project managers and team leads seeking to optimize their workflows.

Canonical page: https://skillsregistry.net/skills/gianni1989-timepiece-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gianni1989-timepiece-mcp

## Description

MCP server integrating OBSS Timepiece Time in Status for Jira, enabling queries about issue durations, status histories, and aggregated metrics via natural language.

## 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:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vkaiidqa69)
- **Repository:** <https://github.com/gianni1989/timepiece-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": "gianni1989-timepiece-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gianni1989-timepiece-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gianni1989-timepiece-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