Asana MCP Server: Governed AI Access

Asana's MCP server includes 44 different actions available to any connected model or AI agent. When registered with Barndoor, you can ensure centralized governance, visibility, and control across every AI agent your team uses.

Tools 44
Capabilities Create, Delete, Read, Update
Category Project & Task Management
Type Official Remote

What can AI agents do with the Asana MCP server?

Tools Available

• asana_create_task
  create
  Creates a new task. Tasks are work items with assignees and due dates.

• asana_get_task
  read
  Retrieves task details by ID. Tasks are work items with assignees and due dates.

• asana_get_projects
  read
  Lists projects in a workspace. Projects organize related tasks for initiatives, campaigns, or workstreams.

• asana_create_project
  create
  Creates a new project. Projects organize related tasks for initiatives, campaigns, or workstreams.

• asana_update_task
  update
  Updates task properties. Tasks are work items with assignees and due dates.

• asana_delete_task
  delete
  Deletes a task permanently. Also removes subtasks not in other projects.

See full list →

Use cases for Asana

• Task Operations: "Create and update tasks", "Manage dependencies and subtasks", "Add and remove followers"
• Goal Tracking: "Create and update goals", "Track OKR progress metrics", "Organize by time periods"
• Project Management: "Manage projects and sections", "Track project health status", "View portfolio progress"
• Team & Search: "Search tasks across projects", "List workspaces and teams", "Find users and resources"

What are the risks of using the Asana MCP without an AI gateway?

• Uncontrolled reads — AI agents can pull data out of Asana with no visibility into what was accessed.
• Ungoverned writes — agents can create or modify records in Asana with no approval step.
• Destructive actions — agents can delete or overwrite Asana data with no approval gate or audit trail.
• Native OAuth is all-or-nothing — connecting directly grants an agent everything your user account can do in Asana, with no per-tool scoping.

Why connect Asana with the Barndoor AI gateway?

Barndoor MCP Governance is the gateway between your AI agents and the tools they use.

• Centralized MCP management — One place to manage and control every MCP server across the organization so your team has an approved catalog of MCP servers that employees and AI agents connect through.
• Universal connection — One universal URL works across every AI provider your team uses.
• Fine-grained access controls — Set access policies for how AI is connecting with Asana based on human identities, agent profiles, tool-access, context, and data fields.
• Protect sensitive data — Keeps sensitive data from reaching a model or AI agent with PII detection, masking, tokenization, redaction, and more.
• Observability — Real-time reporting and dashboards that give you visibility into what AI is doing with Asana, how policies are being enforced, and who (human or agent) is doing what.
• Enterprise-grade security — Stay compliant with audit trails and logging.

Getting started with Asana in Barndoor

1. Connect the Asana MCP server once
2. Define your policies
3. Go live across every AI client

See the full setup guide →

Frequently asked questions

• What is MCP?
  MCP (Model Context Protocol) is the open standard that lets AI models and agents connect to external tools and data sources through a common interface, instead of a custom integration for every tool. Asana is an MCP server that exposes a defined set of tools an AI agent can call. Barndoor sits at that connection point, applying access policies and audit logging to every tool call regardless of which AI client is making it.

• Is Barndoor secure?
  Yes. Barndoor is SOC 2 Type II compliant. Barndoor enforces fine-grained access control, requires approval before destructive actions, protects sensitive data with data loss prevention, and logs every action for audit.

• How are Asana schema changes handled?
  Barndoor tracks tool and schema changes on Asana. New or changed tools inherit deny-by-default access until an admin reviews and approves them, keeping runtime enforcement current without manual reconfiguration. Every schema change is captured in the audit trail alongside who approved it.

• Do you integrate with my identity provider?
  Barndoor authenticates admins and policy managers through your OIDC or SAML 2.0 identity provider. Signing into Claude, Cursor, or ChatGPT still happens directly with those providers. Barndoor's integration point is the Asana connection where access policies apply to what an agent can do once it's connected.

• Do users have to enter tokens manually?
  No. Barndoor brokers the OAuth connection to Asana centrally, so users and agents never handle or store a standing token themselves. Access is granted and revoked through policy instead of shared credentials.

• How does Barndoor integrate with AI agent identities?
  Barndoor gives each AI agent its own governed identity called an AgentProfile, separate from the human who configured or uses it. AgentProfile lets policies and audit logs attribute a given action to the specific agent, not a shared service token, so you can set different access rules per agent and revoke one agent's access without affecting others.

• Can I deploy custom-built MCP servers?
  Yes. Barndoor supports customer-built MCPs, so internal tools and systems your team builds get the same policy enforcement and audit trail as Barndoor MCPs and official MCPs.

• Can I set and audit tool-level access across teams?
  Yes. Barndoor's access control is fine-grained, down to the agent, team, group, user, MCP server, the specific tool call, and the data type involved. Every call is logged with a timestamp, the user or agent calling it, the client it came from, and the result of the policy applied, so you can see exactly who or what did what, when, and whether it was allowed, across any team or role.

• How can I get started with Asana and Barndoor?
  Connect Asana once, define your access policies, and go live across every AI client your team uses. Setup takes three steps: connect the server, define policies by role or agent, and roll out to Claude, Cursor, ChatGPT, and any other MCP-compatible client. Request a demo at barndoor.ai/get-a-demo to learn more.