Getharvest MCP

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

  • getharvest.com

    List Harvest Projects

    List all projects in Harvest for time tracking and project management
    harvest
    project
    list
    time-tracking
  • getharvest.com

    Create Time Entry

    Create a new time entry in Harvest for tracking work hours
    harvest
    time-entry
    create
    timesheet
  • getharvest.com

    List Time Entries

    List time entries in Harvest with optional filtering by date, project, or user
    harvest
    time-entry
    list
    timesheet
  • getharvest.com

    Stop Running Timer

    Stop a running time entry timer in Harvest
    harvest
    time-entry
    stop
    timer
  • getharvest.com

    Restart Timer

    Restart a previously stopped time entry timer in Harvest
    harvest
    time-entry
    restart
    timer
  • getharvest.com

    List Harvest Clients

    List all clients in Harvest for managing customer relationships
    harvest
    client
    list
    customer
  • getharvest.com

    List Harvest Tasks

    List all tasks in Harvest that can be assigned to projects
    harvest
    task
    list
  • getharvest.com

    List Harvest Users

    List all users in Harvest with access to the account
    harvest
    user
    list
    team
  • What is Getharvest 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 Getharvest MCP integration, you can:

    • Dynamically discover tools: Your AI agents automatically find and understand Getharvest'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 Getharvest's functionality without writing integration code

    How Getharvest MCP Works

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

    Connect to MCP Server

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

    Discover Available Tools

    The system automatically discovers all available Getharvest 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.