# Trackfusion MCP Server

> Use this tool when you need to manage and organize tasks in Trackfusion projects, enabling AI assistants to list, create, update, and filter tasks efficiently. It solves problems related to task management, project organization, and workflow optimization. The tool accepts project and task data as inputs and provides updated task lists and project status as outputs.

Canonical page: https://skillsregistry.net/skills/emre6943-trackfusionmcp  
JSON: https://api.skillsregistry.net/v1/skills/emre6943-trackfusionmcp

## Description

Enables AI assistants to manage Trackfusion projects and tasks, including listing, creating, updating, and filtering tasks.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## 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/jadvbgyj6c)
- **Repository:** <https://github.com/emre6943/TrackFusionMcp>

## 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": "emre6943-trackfusionmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/emre6943-trackfusionmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/emre6943-trackfusionmcp/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