TaskSync FAQs

Question 1

What is TaskSync and its primary purpose?

Accepted Answer

TaskSync is an MCP server that provides AI agents with real-time user feedback during development. Its primary purpose is to enable continuous guidance and efficient iteration, streamlining AI-assisted development workflows.

Question 2

How does TaskSync collect user feedback for AI agents?

Accepted Answer

TaskSync utilizes a `get_feedback` tool that reads user input from a `feedback.md` file in the workspace. It automatically creates this file if it's missing and detects changes to immediately notify the AI agent, facilitating real-time adjustments.

Question 3

What are the main benefits of using TaskSync for AI development?

Accepted Answer

TaskSync offers several benefits, including continuous review and iterative development, reduced costly speculative operations by guiding the AI directly, and improved development efficiency through live user feedback loops.

Question 4

Can AI agents display media files using TaskSync?

Accepted Answer

Yes, TaskSync includes a `view_media` tool that allows AI agents to display various image formats (PNG, JPEG, GIF, WebP, BMP, SVG). It supports efficient streaming for large files with proper MIME type detection.

Question 5

How do I integrate TaskSync into my development environment?

Accepted Answer

TaskSync integrates as an MCP server. You can configure it by adding a few lines to your `mcp.json` file (or specific IDE configurations like VS Code) to make the `get_feedback` and `view_media` tools available to your AI agents.

TaskSync

TaskSync

主要功能

使用案例

主要功能

使用案例