Asana
Enable agents to interact with tasks, projects, and workspaces in Asana. Manage teams, create and update tasks, and retrieve workspace data.
Available Tools
19 tools available in this integration
Asana.GetProjectById Get a project by its ID
Asana.ListProjects List projects associated to one or more teams
Asana.GetTagById Get a tag by its ID
Asana.CreateTag Create a tag
Asana.ListTags List tags associated to one or more workspaces
Asana.GetTasksWithoutId Search and retrieve tasks using full-text search and filters
Asana.GetTaskById Get a task by its ID
Asana.GetSubtasksFromATask Get subtasks associated to a task
Asana.UpdateTask Update a task
Asana.MarkTaskAsCompleted Mark a task as completed
Asana.CreateTask Create a task
Asana.AttachFileToTask Attach a file to a task
Asana.ListUsers List users who are members of one or more workspaces
Asana.GetUserById Get a user by their ID
Asana.GetTeamById Get a team by its ID
Asana.ListTeamsTheCurrentUserIsAMemberOf List teams the current user belongs to
Asana.ListTeams List teams associated to a workspace
Asana.GetWorkspaceById Get a workspace by its ID
Asana.ListWorkspaces List the user workspaces
Why agent-optimized tools matter
Built for intent, not API schemas
Forcing the agent to juggle not only what you want to get done, but also how to operate all the APIs it needs to use is a recipe for disaster. Agent-optimized tools keep the agent focused on the work at hand, not ID hunting.
Up to 100x fewer tokens
Context bloat is a serious problem that gets in the way of real work getting done with agents. Agent-optimized tools return only the fields the agent needs to get the job done, not the full API response. Up to 100x less token consumption on every call.
Coverage for the whole task
Most tasks take more than one action to finish. Agent-optimized tools cover the full sequence so the agent completes the workflow end to end, not just the first lookup.
Consistent at scale
Agent-optimized tools behave the same across every user, every run, every harness, every model, and every effort level. No need for the agent to spend time and tokens re-learning the API shape, it can focus on the task at hand. What works for one user holds up when serving thousands in production.
Your questions, answered
It's built around what an agent is trying to accomplish rather than mirroring Asana's raw API. Fewer required parameters, far fewer tokens per call, and coverage for the whole task — so agents succeed more often.
Yes. The toolkit is exposed over an MCP gateway that any framework or MCP client can connect to, and we publish install guides for the editors and coding agents we document.
No. Arcade proxies API calls and does not persist your Asana content. Where Asana requires credentials, Arcade brokers them and stores them encrypted at rest — the model never sees them.
With Contextual Access policies: require human approval before consequential actions, redact sensitive fields on the way back, or restrict the scopes a given agent gets.
