incentivai/quickchat-ai-mcp

Overview

A Python implementation of the Model Context Protocol (MCP) server for Quickchat AI. It enables AI agents to communicate with Quickchat AI services using the MCP standard.

Best for

Best for
Developers building MCP-compatible AI agents that need Quickchat AI integration

Use cases

• Connecting AI agents to Quickchat AI through MCP
• Exposing Quickchat AI capabilities as MCP tools
• Developing MCP-based applications with Quickchat AI backend

How to use

Tools exposed

• uv
• ruff
• pytest

Tested with

Claude Desktop, Cursor, VS Code, Windsurf

Example client config

{\n  "mcpServers": {\n    "< QUICKCHAT AI MCP NAME >": {\n      "command": "uvx",\n      "args": ["quickchat-ai-mcp"],\n      "env": {\n        "SCENARIO_ID": "< QUICKCHAT AI SCENARIO ID >",\n        "API_KEY": "< QUICKCHAT AI API KEY >"\n      }\n    }\n  }\n}

Notes

A Python implementation of the Model Context Protocol (MCP) server for Quickchat AI. It enables AI agents to communicate with Quickchat AI services using the MCP standard.

23 stars on GitHub. Last updated 2026-03-24. Licensed MIT.

Use cases

• Connecting AI agents to Quickchat AI through MCP
• Exposing Quickchat AI capabilities as MCP tools
• Developing MCP-based applications with Quickchat AI backend

Pros

• Open source and free to use
• Written in Python, easy to integrate into Python projects
• Implements the MCP standard for interoperability

Cons

• Limited community adoption (23 stars)
• Requires understanding of MCP protocol
• May lack extensive documentation or support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.