# End Conversation

> Use this tool when you need to formally end a conversation in AI systems, solving issues of unclear conversation boundaries and enabling a clean termination of dialogue. It takes in a conversation ID as input and outputs a confirmation signal, providing a clear interface for AI agents to manage conversations. Ideal for use in chatbots, virtual assistants, or other conversational AI applications where a clear end point is required.

Canonical page: https://skillsregistry.net/skills/sumvia-end-conversation  
JSON: https://api.skillsregistry.net/v1/skills/sumvia-end-conversation

## Description

Implements a single end_conversation tool that allows AI systems to formally signal when they consider a conversation complete. Built with TypeScript and stateless HTTP design, it supports deployment on Render, Fly.io, or local execution. Originally designed for Chinese-language MCP clients including Cline, Cursor, and Continue.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sumvia-end-conversation)
- **Repository:** <https://github.com/sumvia/end-conversation-mcp-server-zh>

## 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": "sumvia-end-conversation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sumvia-end-conversation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sumvia-end-conversation/pull`

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