Asana
 · MCP Server

Connect Asana to Your AI Agent

One MCP connection. Full Asana context. No more tab-switching — just ask.

46K+ metrics · Read & Write access · 500+ platforms · <60s setup
📈 Read

Read: Instant Answers from Asana

Stop digging through projects and portfolios manually. Ask your AI agent to surface blocked tasks, overdue milestones, workload imbalances, and cross-team dependencies — across every workspace you own.

Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.

Example prompts
"Show anomalies across all accounts" 2h → 40s
"CPL in New York vs. California?" 1h → 30s
"ROAS by campaign type, last 30 days" 45m → 15s
Works with Claude ChatGPT Cursor +5
Write actions
"Launch A/B test, $5K budget" 5 days → 20m
"Shift 20% of Display to PMax" 2h → 1m
"Pause all ad groups with CPA > $50" 30m → 10s
🛡 Every action logged · Fully reversible · SOC 2 certified
🚀 Write

Write: Automate Asana Updates

Skip the manual task creation and status updates. Your AI agent can create tasks from meeting notes, reassign blocked work, update due dates, and move items through workflows — without opening Asana.

250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.

⚠️ Monitor

Monitor: Catch Asana Blockers Before They Slip

Set AI-powered watches on project health, deadline risk, and workload distribution. Get proactive alerts when milestones are at risk, team members are overloaded, or dependencies are unresolved.

Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.

Monitor prompts
"Flag ad groups over 120% budget" 3h → 1m
"Weekly report: spend, CPA, anomalies" 3h → auto
"Which creatives are fatiguing?" 2h → 30s
Alerts sent to Slack, email, or your AI agent
💡
Ideate
🚀
Launch
📈
Measure
🔍
Analyze
📝
Report
🔄
Iterate
One conversation. All six phases. Every platform.
🔄 Full Cycle

The Closed Loop: Read → Decide → Write → Monitor

Skip the manual task creation and status updates. Your AI agent can create tasks from meeting notes, reassign blocked work, update due dates, and move items through workflows — without opening Asana.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Challenge 1

Onboarding Friction Across Systems

THE PROBLEM

New team members and partner teams often struggle to get context from Asana boards — especially when onboarding involves multiple systems. Getting up to speed means reading through dozens of tasks, comments, and project histories, which takes days instead of hours.

HOW MCP SOLVES IT

Ask your AI agent to summarize the current state of any Asana project, extract open action items, and identify who owns what. The agent synthesizes weeks of task history into a two-minute briefing.

Try asking
"Show ROAS across all 120 accounts"
Answer in seconds
All data sources, one query
Try asking
"What's my CPL in New York vs. California?"
🔍
Full detail preserved
No data loss on export
Challenge 2

Fragmented Tooling Creates Visibility Gaps

THE PROBLEM

Teams using Asana alongside Notion, Confluence, and other project tools end up with work scattered across platforms. Getting a unified view of project status means manually checking each tool — leading to missed dependencies and duplicated effort.

HOW MCP SOLVES IT

Improvado MCP connects Asana to your AI agent alongside other tools. Ask a single question that spans Asana tasks and linked context from other sources. One prompt surfaces the full picture without platform-hopping.

Challenge 3

Reporting on Project Health Takes Too Long

THE PROBLEM

Preparing weekly project status reports from Asana requires manually reviewing each project, checking task statuses, calculating completion rates, and identifying risks. For teams running 10+ simultaneous projects, this alone consumes hours every week.

HOW MCP SOLVES IT

One prompt generates a complete portfolio health report. Your AI agent queries all active projects, calculates on-track vs at-risk rates, surfaces top blockers, and formats the output for a leadership summary in under a minute.

Try asking
"PMax vs. Search ROAS for Q1?"
⚖️
Unified data model
Compare anything side by side
Agency CEO
Portfolio health. Client risk. Revenue signals.
Media Strategist
70% strategy, not 70% ops. Auto campaign QA.
Marketing Analyst
Zero wrangling. Cross-platform. AI narratives.
Account Manager
QBR decks auto-generated. Call prep in 30s.
Creative Director
Performance-to-brief. Predict winners before spend.
👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.

Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.

Frequently Asked Questions

What is Asana MCP?
+

Asana MCP is a Model Context Protocol server that connects your Asana workspace data to AI agents like Claude, ChatGPT, and Gemini. It lets you query tasks, projects, portfolios, and team workloads in natural language — without logging into Asana or building integrations.

Which Asana data can I access through the MCP server?
+

Tasks, subtasks, projects, portfolios, sections, assignees, due dates, custom fields, comments, attachments, dependencies, and workspace members. Everything accessible via Asana's REST API is queryable through your AI agent.

Can the AI agent create and update tasks or only read data?
+

Both. Read operations cover querying tasks, project statuses, and workload data. Write operations include creating tasks, updating statuses and due dates, reassigning work, adding comments, and moving tasks between sections. Permission scope is controlled by your Asana API token.

Does this work across multiple Asana workspaces and portfolios?
+

Yes. Improvado's MCP server handles multi-workspace queries. You can ask a single question that spans all your Asana portfolios and projects simultaneously — no need to switch between workspaces or run separate queries.

Is my Asana data secure through the MCP server?
+

Yes. Improvado stores all API credentials in an encrypted vault certified to SOC 2 Type II. Your AI agent never has direct access to credentials — requests go through Improvado's secure proxy. Prompt injection protection is built in.

How quickly can I set this up?
+

Under 60 seconds for Claude Desktop or Cursor users. Add the MCP server URL to your config, authenticate with an Asana personal access token, and you're querying. Improvado users already connected to Asana can start immediately via app.improvado.io/agent.

What is Asana MCP?
Asana MCP is a Model Context Protocol server that connects your Asana workspace data to AI agents like Claude, ChatGPT, and Gemini. It lets you query tasks, projects, portfolios, and team workloads in natural language — without logging into Asana or building integrations.
Which Asana data can I access through the MCP server?
Tasks, subtasks, projects, portfolios, sections, assignees, due dates, custom fields, comments, attachments, dependencies, and workspace members. Everything accessible via Asana's REST API is queryable through your AI agent.
Can the AI agent create and update tasks or only read data?
Both. Read operations cover querying tasks, project statuses, and workload data. Write operations include creating tasks, updating statuses and due dates, reassigning work, adding comments, and moving tasks between sections. Permission scope is controlled by your Asana API token.
Does this work across multiple Asana workspaces and portfolios?
Yes. Improvado's MCP server handles multi-workspace queries. You can ask a single question that spans all your Asana portfolios and projects simultaneously — no need to switch between workspaces or run separate queries.
Is my Asana data secure through the MCP server?
Yes. Improvado stores all API credentials in an encrypted vault certified to SOC 2 Type II. Your AI agent never has direct access to credentials — requests go through Improvado's secure proxy. Prompt injection protection is built in.
How quickly can I set this up?
Under 60 seconds for Claude Desktop or Cursor users. Add the MCP server URL to your config, authenticate with an Asana personal access token, and you're querying. Improvado users already connected to Asana can start immediately via app.improvado.io/agent.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II
GDPR
500+ Platforms
46K+ Metrics