# Interaction MCP

> Use this tool when you need to facilitate efficient communication between AI tools and users through multiple interfaces, solving problems of wasted API calls and computational resources by enabling user confirmation and input. It provides options for user decision-making and information requests, supporting multiple languages and transport protocols. Ideal for use cases requiring high-frequency interaction and flexible connectivity to improve AI interaction efficiency.

Canonical page: https://skillsregistry.net/skills/danielzhao1990-interaction  
JSON: https://api.skillsregistry.net/v1/skills/danielzhao1990-interaction

## Description

MCP Interactive Service enables high-frequency communication between AI tools (like Cursor and Windsurf) and users through multiple interface options including CLI, PyQt, and Web. Developed by DanielZhao1990, it provides two core tools: option selection for user decision-making and information requests for supplementary input. The service supports multiple languages, offers both stdio and SSE transport protocols for flexible connectivity, and significantly improves AI interaction efficiency by allowing users to confirm approaches before execution, reducing wasted API calls and computational resources while maintaining focus on correct solution paths.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/danielzhao1990-interaction)
- **Repository:** <https://github.com/danielzhao1990/interaction-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": "danielzhao1990-interaction"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/danielzhao1990-interaction` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/danielzhao1990-interaction/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