# TaskTrek MCP Server

> Use this tool when you need to programmatically manage tasks and projects for AI assistants, solving issues of automated task coordination and data exchange. The TaskTrek MCP Server enables this through JSON file storage, accepting task data as input and outputting managed project structures. Ideal for use cases requiring seamless integration of AI-driven task management with existing workflows and systems.

Canonical page: https://skillsregistry.net/skills/cskoushik9-tasktrekmcp  
JSON: https://api.skillsregistry.net/v1/skills/cskoushik9-tasktrekmcp

## Description

A Model Context Protocol server for TaskTrek that enables AI assistants to manage tasks and projects programmatically via JSON file storage.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zikwqbz3fd)
- **Repository:** <https://github.com/CsKoushik9/TaskTrekMCP>

## 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": "cskoushik9-tasktrekmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cskoushik9-tasktrekmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cskoushik9-tasktrekmcp/pull`

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