Overview

Asana MCP is the official Model Context Protocol server for Asana, the work management platform used by over 150,000 organizations worldwide. Available as a cloud-hosted remote MCP server at mcp.asana.com, it provides AI assistants with access to the Asana Work Graph — tasks, projects, portfolios, goals, and team workloads — through 42 tools accessible via natural language interactions.

Asana bridges the gap between strategic planning and day-to-day execution, connecting company goals to the projects and tasks that deliver them. The MCP server enables AI assistants to create tasks, search projects, analyze workload distribution, update project timelines, and manage team coordination without leaving the AI conversation. Compatible with Claude Code, Cursor, VS Code, and other MCP-enabled clients, it uses OAuth authentication with an approved client allowlist for security.

For operations, product, and cross-functional teams, Asana MCP transforms AI assistants from information tools into active participants in work management — capable of creating action items from meeting notes, rebalancing overloaded team members, and generating portfolio-level progress reports.

Key Features

Task Management

Full lifecycle task operations — create, update, complete, and delete tasks with rich metadata including assignees, due dates, custom fields, dependencies, and subtasks.

Project and Portfolio Navigation

Browse projects, sections, and portfolios to understand organizational work structure. Track project milestones, monitor status updates, and navigate from strategic portfolios down to individual tasks.

Workload Analysis

Analyze team capacity and workload distribution across projects and time periods. Identify overloaded team members, spot resource conflicts, and recommend rebalancing for sustainable delivery.

Goal Tracking and Alignment

Access Asana Goals to understand strategic objectives and their connection to projects and tasks. Track goal progress, identify at-risk objectives, and ensure work aligns with organizational priorities.

Search and Discovery

Search across the entire Asana workspace for tasks, projects, and conversations using natural language queries. Find related work items and track cross-project dependencies.

Custom Field and Template Management

Work with custom fields for project-specific metadata (priority tiers, effort estimates, approval status) and leverage project templates for standardized workflows.

Capabilities

Asana MCP exposes 7 tools for AI agents. 1 require approval.

2 Read4 Write1 Delete

Tool	Operation	Risk	Description
`create_task` Creates a new task in a project	Write	Medium Risk	Creates a new task in a project
`update_task` Updates task fields	Write	Medium Risk	Updates task fields
`list_tasks` Lists tasks with filters	Read	Low Risk	Lists tasks with filters
`list_projects` Lists projects in workspace	Read	Low Risk	Lists projects in workspace
`create_project` Creates a new project	Write	Medium Risk	Creates a new project
`add_comment` Adds comment to task	Write	Low Risk	Adds comment to task
`delete_task`Approval Deletes a task	Delete	High Risk	Deletes a task

Use Cases

Strategy-Aligned Use Cases

Meeting-to-Action Conversion

AI assistants process meeting notes and automatically create Asana tasks with proper assignees, due dates, and project placement — ensuring decisions translate into tracked action items without manual data entry.

Portfolio-Level Progress Reporting

Generate executive-ready portfolio status reports by aggregating task completion rates, milestone progress, and risk indicators across multiple projects aligned with strategic objectives.

Resource Optimization

Analyze workload distribution across teams, identify bottlenecks and over-allocation, and recommend task reassignments that balance delivery capacity with priority alignment.

Cross-Team Dependency Tracking

Map dependencies between tasks across different teams and projects, identify potential blockers before they impact delivery, and facilitate coordination between cross-functional workstreams.

Considerations

Before You Adopt

**Cross-Functional Data Visibility**: Asana workspaces often contain projects spanning engineering, marketing, HR, finance, and executive teams. AI access scoped at the workspace level could expose sensitive cross-functional information (hiring plans, budget allocations, M&A activities).
**Task Reassignment Impact**: Moving tasks between assignees, changing due dates, or modifying project timelines affects team commitments and delivery expectations. AI-initiated changes should be governed by team-level approval policies.
**Goal and Portfolio Sensitivity**: Asana Goals and Portfolios often contain strategic information about company direction, investment priorities, and performance targets. Access should be restricted to roles with strategic visibility.
**Bulk Task Operations**: Creating or modifying many tasks in a single AI interaction can overwhelm team inboxes with notifications, disrupt project structures, and create confusion about work priorities.
**Integration Cascade Effects**: Asana integrates with Slack, email, calendar, and other tools. Task creation or status changes triggered by AI can cascade into notifications and automated actions across connected systems.

Stratafy Fit

Integration Potential

4/5

Asana MCP is a strong governance candidate for Stratafy. Work management platforms sit at the intersection of strategy and execution, making them natural governance targets. Asana contains sensitive cross-functional data spanning every department, and its 42 MCP tools include operations that can affect team assignments, project timelines, and goal tracking. Stratafy can enforce department-scoped access (marketing team sees marketing projects only), gate task reassignment and timeline changes behind manager approval, restrict goal and portfolio visibility to strategic roles, and maintain audit trails connecting AI-initiated work management actions to organizational objectives. The platform breadth across both operational and strategic layers makes it highly valuable to govern.