MCP & AI Connectors

Your ecosystem.
Connected to work.

Bring AI closer to Asana’s context. Connections designed with purpose, permissions and governance.

Discuss architecture Explore possibilities
AssistantsDataSystemsPermissions Context in motion MCP + Connectors
Illustrative architecture · connections based on the use case
Useful contextAI close to real work.
Defined accessPermissions from the design stage.
Connected architectureEach tool with its own role.
Connection starts with context

More clarity across
AI, data and action.

MCP allows compatible AI clients to access Asana through a structured interface. TaskWork helps define where this connection makes sense and how to prepare it.

IT and architectureProcess ownersAI governance

Three decisions before connecting

What does AI need to do?

Clearly defined query, action and expected outcome.

Which data can flow?

Permissions and boundaries aligned with the organization.

Who monitors the connection?

Owner, review and exception handling.

Use cases

Connections with
a clear objective.

Select a scenario to explore the architecture.

Internal assistants

Work context for useful answers.

Connect compatible AI tools to the Asana data and actions defined in the use case. Architecture starts with what the team needs to query and execute.

  • Relevant work information
  • Actions bounded by objectives
  • Access defined by owner
Map my use case
Illustrative path
Query context01
Prepare a response02
Review the action03
How we design

From use case
to a governed connection.

01

Map

Required tools, data and actions.

02

Set boundaries

Permissions, owners and review points.

03

Connect

Selection of applicable MCP, APIs and connectors.

04

Validate

Scenario testing and exception handling.

Architecture is defined according to the available tools and controls.

Shared responsibility

Connect with clarity.
Operate with owners.

Platform

Asana

Product and features

MCP server and platform capabilities.

Available controls

Authorization and administration features.

Official documentation

References for connection and usage.

Architecture and readiness

TaskWork

Use case design

Impact, tools and architecture.

Operational preparation

Processes, data and owners.

Connection governance

Access and validation criteria.

Decision and approval

Your organization

Adoption priorities

Objectives and expected outcomes.

Data classification

Information and usage boundaries.

Internal approvals

Owners and authorizations.

Frequently asked questions

Before connecting.

Does MCP replace all integrations?

MCP, APIs and connectors can meet different needs. The choice depends on the tools, actions and workflows the organization needs to enable.

How is access authorized?

Asana’s MCP server uses OAuth. Architecture must consider permissions, owners and boundaries applicable to the use case.

Is Asana’s script editor required?

MCP connects compatible clients to the MCP server. The automation script editor is a separate feature; whether it is needed depends on the solution designed.

Where does TaskWork start?

By mapping the required tools, data and actions. Then we define preparation and governance criteria for the connection.

Official Asana MCP documentation ↗

Asana integrations AI Governance Asana for IT

Connect what matters.
With architecture.

Design the path between Asana and your AI ecosystem with TaskWork.

Discuss my situation