# MCP Chat

> Use this tool when you need to engage in continuous multi-turn conversations within IDE AI assistants, solving problems of limited single-turn interactions and enabling more natural and efficient communication. It takes in user input and AI responses, outputting a persistent chat loop, and supports various transport options including HTTP, WebSocket, and stdio. Ideal for use cases requiring interactive and dynamic conversations, such as coding assistance, debugging, and automation scripting.

Canonical page: https://skillsregistry.net/skills/maile456-mcp-chat  
JSON: https://api.skillsregistry.net/v1/skills/maile456-mcp-chat

## Description

MCP Chat creates a persistent chat loop within IDE AI assistants like Copilot, Cursor, and Claude Code, enabling continuous multi-turn conversations. It supports OpenAI Chat Completions and Anthropic Messages API compatibility, allowing connection from external tools like QQ bots and automation scripts. The server provides HTTP, WebSocket, and stdio transport options with a built-in web UI and REST API gateway.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/maile456-mcp-chat)
- **Repository:** <https://github.com/maile456/mcp-chat>

## 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": "maile456-mcp-chat"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/maile456-mcp-chat` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/maile456-mcp-chat/pull`

---
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