# Quickchat

> Use this tool when you need to integrate AI assistants with conversational platforms, solving problems of fragmented workflows and limited interaction capabilities. Quickchat AI MCP Server provides a simple API for sending and receiving messages, handling authentication and conversation state. It is ideal for developers seeking to incorporate conversational capabilities into AI workflows without disrupting their existing environment.

Canonical page: https://skillsregistry.net/skills/quickchat-ai  
JSON: https://api.skillsregistry.net/v1/skills/quickchat-ai

## Description

The Quickchat AI MCP Server provides a bridge between AI assistants and Quickchat's conversation platform. Built by Piotr Grudzien and Mateusz Jakubczak, this implementation enables MCP-compatible clients to send messages to Quickchat scenarios and receive responses through a simple API. The server fetches MCP settings from Quickchat's backend, maintains conversation state across interactions, and handles authentication through API keys. It includes robust error handling for configuration issues, unauthorized access, and server errors. This integration is particularly valuable for developers who want to incorporate Quickchat's conversational capabilities into their AI assistant workflows without leaving their existing environment.

## 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:** security
- **Updated:** 2026-04-29

## Source

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

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

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