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Asana MCP Tools for AI Agents

Let an agent search Asana tasks, create and update work, attach files, and mark tasks complete through Arcade.

Available Tools

28 tools available in this integration

Asana.AttachFileToTask

Attach a file to an Asana task

Asana.CreateTag

Create a tag in Asana

Asana.CreateTask

Create a task in Asana

Asana.GetProject

Get an Asana project by its ID

Asana.GetProjectById

Get an Asana project by its ID

Asana.GetSubtasksFromATask

Get the subtasks of a task

Asana.GetTag

Get an Asana tag by its ID

Asana.GetTagById

Get an Asana tag by its ID

Asana.GetTask

Get a task by its ID

Asana.GetTaskById

Get a task by its ID

Asana.GetTasksWithoutId

Search for tasks

Asana.GetTeam

Get an Asana team by its ID

Asana.GetTeamById

Get an Asana team by its ID

Asana.GetUser

Get a user by ID

Asana.GetUserById

Get a user by ID

Asana.GetWorkspace

Get an Asana workspace by its ID

Asana.GetWorkspaceById

Get an Asana workspace by its ID

Asana.ListMyTeams

List teams in Asana that the current user is a member of

Asana.ListProjects

List projects in Asana

Asana.ListSubtasks

Get the subtasks of a task

Asana.ListTags

List tags in an Asana workspace

Asana.ListTeams

List teams in an Asana workspace

Asana.ListTeamsTheCurrentUserIsAMemberOf

List teams in Asana that the current user is a member of

Asana.ListUsers

List users in Asana

Asana.ListWorkspaces

List workspaces in Asana that are visible to the authenticated user

Asana.MarkTaskAsCompleted

Mark a task in Asana as completed

Asana.SearchTasks

Search for tasks

Asana.UpdateTask

Update a task in Asana

Working directly against the raw API? 199 more tools in the Asana API server →

Why agent-optimized tools matter

Built for intent, not API schemas

Ask the agent to "find overdue tasks in the launch project and assign follow-up work." Arcade picks the right Asana tools without guessing project IDs or task IDs.

Up to 100x fewer tokens

Asana search and list results keep the agent focused on matching tasks, so it can inspect one task's subtasks only when needed instead of loading every project record into the model.

Complete the workflow end to end

Search tasks, inspect a project, create follow-up work, update task details, and mark work complete through one toolkit designed around the complete project task workflow.

Make actions predictable and controlled

Arcade tools return structured results and useful errors across users and runs. Teams can apply scope restrictions, redaction, and approval policies so agents follow the same controls every time.

Securing Asana

The more capabilities agents get, the more useful they are. However, more capabilities bring more risks of undesired effects such as data loss and exfiltration.

This is why Arcade provides you with contextual rules that dictate how and when a tool is allowed to run. Arcade’s contextual access lets you govern tool visibility and behavior at every stage of execution and control who can see a tool, what inputs are allowed, and what comes back.

Learn about Contextual Access Policies

For Asana, you can implement some of these policies:

Access when tools are listed for a user
  • Hide Asana.AttachFileToTask from agents outside the roles your IDP marks as project owners, so an agent cannot add confidential files to shared tasks.
  • Restrict Asana.CreateTask to agents operating under your project-manager role, so unreviewed automation cannot create work in shared projects.
  • Deny Asana.UpdateTask to agents without task-owner or project-admin roles, so an agent cannot change assignees, due dates, or task descriptions across your teams.
Pre-execution before each tool call
  • Require human approval before Asana.CreateTag runs, so an agent cannot add misleading or unauthorized labels to your workspace.
  • Block Asana.MarkTaskAsCompleted when the task has unresolved subtasks, so an agent cannot close parent work before its deliverables are finished.
  • Require human approval before Asana.UpdateTask changes an assignee, due date, or project, so an agent cannot silently reassign ownership or move committed work.
Post-execution after the tool returns
  • Redact descriptions, comments, and custom-field values from Asana.GetTaskById results when they contain customer data, credentials, or internal notes before they reach the model.
  • Strip email addresses, phone numbers, and other private profile fields from Asana.GetUserById results, so the model receives identity details without personal contact data.
  • Deny Asana.GetTasksWithoutId results for searches that would expose tasks from confidential projects, so private project work is not returned to the model.

How to use Asana with your agent

Connect Asana to an MCP client and give your agent authenticated access to tasks, projects, teams, and users. Follow the setup from authorization through your first tool call.

Your questions, answered

An Asana MCP server exposes Asana capabilities as structured tools that an AI agent can call through the Model Context Protocol. After a user authorizes their Asana account, the agent can search workspaces, inspect projects and tasks, create or update tasks, and complete permitted actions.

Arcade provides an MCP gateway and runtime for Asana, with per-user OAuth, approval workflows, response redaction, and controls over which actions an agent can access. It also gives agents one consistent connection across supported frameworks and clients.

Arcade agents can search tasks, inspect projects, tasks, subtasks, teams, users, workspaces, and tags, create and update tasks, attach files, create tags, and mark tasks as completed. They cannot perform every Asana operation through this curated set of actions.

Arcade requests the Asana OAuth permissions required by the actions you enable. Read-only workflows need access to the Asana workspaces, projects, tasks, teams, users, and tags being read; creating, updating, completing, tagging, or attaching files requires the corresponding write permissions. Grant the narrowest permissions that support your workflow.

Yes. Each user authorizes their own Asana account through OAuth. Actions run under that user's authorization, so the agent can access only the workspaces and resources that user is permitted to access.

Yes. Contextual Access policies can require human approval before consequential Asana actions such as creating, updating, completing, or attaching files to tasks. The call proceeds only once the policy is satisfied.

Arcade proxies Asana API calls and does not persist your content as part of normal tool execution. Credentials are brokered and stored encrypted at rest, and the model never receives them.

Any framework or client that can connect to Arcade's MCP gateway or tool APIs works, including LangChain, OpenAI Agents, CrewAI, Claude Desktop, Claude Code, Cursor, Visual Studio Code, Microsoft Copilot Studio, and GitHub Copilot.

Arcade refreshes access while the user's Asana authorization remains valid. If it is revoked, rotated, or can no longer be refreshed, calls stop until the user reconnects Asana.

Asana's API rate limits and quotas still apply to actions performed through Arcade. The applicable limits can vary by Asana account and endpoint, so high-volume agents should handle rate-limit responses and retry according to Asana's guidance.

Ready to actually ship your agent?

Connect your agent to Asana with managed OAuth, agent-optimized tools and approval controls for consequential actions.

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