# TaskLogger MCP

> TaskLogger MCP — khodorrrhajjj-tasklogger-mcp. Use this tool when you need to manage tasks efficiently, as it enables AI agents to create, update, and complete tasks on TaskLogger.io via a secure REST API interface, accepting task data as input and returning task status as output, ideal for automating workflows and task assignments in various contexts. It solves problems related to task organization, assignment, and tracking, providing a reliable and secure way to interact with the TaskLogger.io platform. This tool is particularly useful when integrating task management capabilities into AI-powered workflows and applications.

Canonical page: https://skillsregistry.net/skills/khodorrrhajjj-tasklogger-mcp  
JSON: https://api.skillsregistry.net/v1/skills/khodorrrhajjj-tasklogger-mcp

## Description

MCP server enabling AI agents to create, update, search, assign, and complete tasks on TaskLogger.io via the TaskLogger REST API, with secure local credential management and token persistence.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iqkw42clff)
- **Repository:** <https://github.com/khodorrrhajjj/TaskLogger-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": "khodorrrhajjj-tasklogger-mcp"
    }
  }
}
```

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