Asana MCP

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

  • asana.com

    Create Task

    Create a new task in Asana with specified properties and assignee
    asana
    task
    create
    project-management
  • asana.com

    Fetch Task

    Retrieve detailed information about a specific task by its ID
    asana
    task
    get
    project-management
  • asana.com

    Update Task

    Update an existing task with new information
    asana
    task
    update
    project-management
  • asana.com

    Search Tasks

    Search for tasks in a workspace using various filter criteria
    asana
    task
    search
    project-management
  • asana.com

    Delete Task

    Delete a specific task permanently from Asana
    asana
    task
    delete
    project-management
  • asana.com

    Create Task Comment

    Add a comment (story) to a task for collaboration
    asana
    task
    comment
    collaboration
    project-management
  • asana.com

    Create Subtask

    Create a new subtask and add it to a parent task
    asana
    task
    subtask
    create
    project-management
  • asana.com

    Create Project

    Create a new project in a workspace
    asana
    project
    create
    project-management
  • asana.com

    List Project Tasks

    List all tasks in a specific project
    asana
    project
    task
    list
    project-management
  • asana.com

    List Project Sections

    List all sections in a specific project
    asana
    project
    section
    list
    project-management
  • asana.com

    List Workspaces

    Get a list of all workspaces accessible to the user
    asana
    workspace
    list
    project-management
  • asana.com

    List Workspace Projects

    List all projects in a specific workspace
    asana
    workspace
    project
    list
    project-management
  • What is Asana 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 Asana MCP integration, you can:

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

    How Asana MCP Works

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

    Connect to MCP Server

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

    Discover Available Tools

    The system automatically discovers all available Asana 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.