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Asana MCP Server

by bnwebdev

The Asana MCP Server enables AI assistants to interact with Asana through a standardized Model Context Protocol (MCP). It allows managing tasks, projects, and other Asana resources.

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What is Asana MCP Server?

The Asana MCP Server is a Model Context Protocol (MCP) server implementation designed to facilitate integration between AI assistants and Asana. It provides a standardized way for AI assistants to interact with Asana's API, allowing them to manage tasks, projects, and other resources.

How to use Asana MCP Server?

To use the server, install it globally using npm or run it directly with npx. Configure your Asana Personal Access Token in a .env file or via command-line environment variables. Start the server, and it will connect to the MCP client, enabling AI assistants to interact with your Asana workspace using the provided tools.

Key features of Asana MCP Server

  • Asana task management through MCP

  • Project and section listing

  • Task comments retrieval

  • Seamless integration with AI assistants

Use cases of Asana MCP Server

  • Automated task creation and assignment

  • AI-powered project status updates

  • Intelligent task prioritization

  • Natural language interaction with Asana tasks

FAQ from Asana MCP Server

What is an Asana Personal Access Token?

An Asana Personal Access Token is a credential that allows the server to access your Asana workspace on your behalf. You can obtain it from the Asana Developer Console.

How do I configure the Asana token?

You can configure the Asana token by creating a .env file in your project root or by providing it as an environment variable when starting the server.

What MCP tools are available?

The server provides tools like asana_get_projects, asana_get_sections_by_project, asana_get_task_stories, asana_get_task, asana_get_tasks_by_project, and asana_get_tasks_by_section.

Can I contribute to the project?

Yes, contributions are welcome! Please feel free to submit a Pull Request.

What license is the project under?

The project is licensed under the MIT License.