Quench MCP

Connect Quench to your AI agents using the Model Context Protocol (MCP), enabling seamless integration with quench.ai's services through standardized interfaces.

  • quench.ai

    Fetch Asset

    Fetch an asset from Quench.
    quench
    asset
    beta
  • quench.ai

    Create Asset

    Create an asset in Quench.
    quench
    asset
    beta
  • quench.ai

    Update Asset

    Update an asset in Quench.
    quench
    asset
    beta
  • quench.ai

    Delete Asset

    Delete an asset in Quench.
    quench
    asset
    beta
  • quench.ai

    Search

    Search in Quench.
    quench
    search
    beta
  • What is Quench MCP?

    The Model Context Protocol (MCP) is an open standard that provides a unified way for AI applications to connect with external tools and data sources. Instead of building custom integrations for every service, MCP provides a standardized interface that allows AI models to discover available tools, understand their capabilities, and execute them safely and securely.

    With Quench MCP integration, you can:

    • Dynamically discover tools: Your AI agents automatically find and understand Quench's available capabilities through the MCP server
    • Standardized integration: Use a consistent protocol instead of learning platform-specific APIs
    • Real-time capabilities: Tools are loaded and executed on-demand during conversations
    • Secure execution: Maintain proper authentication and isolation through ChatBotKit's MCP implementation
    • No custom coding: Leverage Quench's functionality without writing integration code

    How Quench MCP Works

    ChatBotKit's MCP action provides a powerful way to dynamically extend your AI agent's capabilities by loading tools from Quench's MCP server.

    Connect to MCP Server

    ChatBotKit establishes a connection to Quench API endpoints, initiating secure communication.

    Discover Available Tools

    The system automatically discovers all available Quench tools and their schemas through the MCP protocol.

    Load Tool Definitions

    Tool definitions are loaded into your conversation context, making them available to your AI agent.

    Execute Securely

    Your AI uses these tools as if they were native abilities, with secure execution and proper authentication.