# Ekyte

> Use this tool when you need to integrate AI assistants with a task and time management platform to automate workflows and enhance productivity. Ekyte MCP solves problems related to task management, time tracking, and team collaboration by providing read and write access to workspaces, tasks, and time entries. It accepts JWT Bearer tokens as input and outputs task updates, comments, and time records, making it ideal for use cases that require seamless interaction between AI agents and task management systems.

Canonical page: https://skillsregistry.net/skills/ferrazpiai-ekyte  
JSON: https://api.skillsregistry.net/v1/skills/ferrazpiai-ekyte

## Description

Ekyte MCP connects AI assistants to the Ekyte task and time management platform, exposing read tools for workspaces, users, task types, workflow phases, tasks, and time entries, plus write tools for creating tasks, updating phases, completing work, adding comments, and recording hours. It authenticates via JWT Bearer tokens and runs as a Docker container.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ferrazpiai-ekyte)
- **Repository:** <https://github.com/ferrazpiai/ekyte_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": "ferrazpiai-ekyte"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ferrazpiai-ekyte` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ferrazpiai-ekyte/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