# chathook

> chathook — kedaya2025-mcp-chathook. Use this tool when you need to engage users in interactive conversations within a chat interface, enabling multi-turn discussions without interruption. Chathook solves the problem of static user input by allowing AI agents to prompt users for information directly within the conversation. It accepts user input and AI prompts as inputs, and outputs a seamless conversational experience.

Canonical page: https://skillsregistry.net/skills/kedaya2025-mcp-chathook  
JSON: https://api.skillsregistry.net/v1/skills/kedaya2025-mcp-chathook

## Description

Enables AI agents to prompt users for input directly within the chat UI using MCP's elicitation capabilities, allowing for interactive multi-turn conversations without leaving the conversation interface.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/glawomyo6h)
- **Repository:** <https://github.com/kedaya2025/mcp-chathook>

## 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": "kedaya2025-mcp-chathook"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kedaya2025-mcp-chathook` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kedaya2025-mcp-chathook/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