Analytics Agent → Auto-Ticket Creation
Detects 23% checkout conversion drop at 3am, creates Linear ticket with user flow analysis, assigns priority, links affected segments. PM wakes up to solution in progress.
See workflow →Agents Take Action via MCP
Your AI workforce uses MCP to operate across Linear, GitHub, Notion, Slack. They create tickets, deploy code, update docs - all without human intervention.
"While you sleep, agents ship production code via MCP"
Analytics Agent detects issue → Creates Linear ticket → Code Agent writes fix → Opens GitHub PR → Deploys automatically. Zero human work.
Analytics Agent → Linear → Code Agent → GitHub
Agent MCP: Zero Human Intervention
❌ Manual PM Work:
- 1. Check analytics dashboard
- 2. Find conversion drop manually
- 3. Create Linear ticket manually
- 4. Wait for engineering resources
- 5. Write code manually
- 6. Open PR manually
- 7. Update documentation manually
Time: Days of human work
✅ Agent MCP Workflow:
- 1. Analytics Agent detects conversion drop
- 2. Auto-creates Linear ticket via MCP
- 3. Code Agent analyzes issue
- 4. Writes fix and opens GitHub PR via MCP
- 5. Research Agent updates Notion docs via MCP
- 6. Experiment Agent tests fix automatically
- 7. Growth Agent monitors impact
Time: 0 minutes of human work
Agents Taking Action via MCP
Conversion Funnel
-12.3%
User Journey
+8.7%
Heatmap Analysis
Watch Agents Work via MCP
See how agents use MCP to take real actions across your entire PM stack. From detection to deployment, 100% autonomous.
Agent MCP in Production
Live examples from teams using agents to ship code, create tickets, and optimize products autonomously.
Code Agent → Autonomous Bug Fixes
Detects missing null check causing mobile crashes, writes TypeScript fix with tests, opens PR #456 via MCP, runs CI/CD. All tests pass. Ready to deploy.
View example →
Research Agent → Auto-Documentation
Processes 847 support tickets, identifies 'dark mode' mentioned in 34% of feedback, drafts feature spec in Notion with effort estimates and user stories.
Explore →Experiment Agent → Auto-Optimization
Runs 52 simultaneous A/B tests, identifies free shipping threshold winner, deploys to 100% traffic via feature flags, documents results automatically.
View demo →
Growth Agent → Opportunity Detection
Analyzes funnel data, identifies organic search converts 3x better than paid ads, recommends budget shift in Slack: 'Move $50k from ads to SEO.'
Get started →
Natural Language Agent Control
Ask 'Why did signups drop yesterday?' Analytics Agent investigates, finds broken landing page, Code Agent fixes, deploys. All via ChatGPT conversation.
Try it →Live Agent MCP Workflows
Real workflows showing how agents use MCP to ship code and create tickets autonomously.
Analytics Agent → Auto-Ticketing
🚨 ISSUE DETECTED
"Mobile checkout conversion: 67% → 44%"
"Drop started: 2025-01-15 14:23 UTC"
AUTONOMOUS MCP ACTIONS:
→ Creating Linear ticket PROD-456...
→ Adding funnel analysis graphs
→ Linking affected user segments
→ Setting priority: P0 - Revenue Impact
→ Assigning to @mobile-team
→ Tagging related experiments
✅ TICKET CREATED: Linear PROD-456
🔨 Code Agent activated automatically
📈 Revenue impact: -$50k/dayCode Agent → Autonomous Development
🔍 ROOT CAUSE ANALYSIS
"CSS media query breaking mobile layout"
"Button hidden below viewport on iPhone 12"
CODE GENERATION:
→ Analyzing mobile CSS rules...
→ Writing responsive fix...
→ Adding viewport meta tag
→ Generating unit tests
GITHUB MCP DEPLOYMENT:
→ Creating branch: fix/mobile-checkout-456
→ Committing fix with tests
→ Opening PR: github.com/yourorg/app/pull/789
→ Linking Linear PROD-456
→ Requesting @ui-team review
✅ ALL CI CHECKS PASSING
🚀 Ready to deploy to production
AGENT MCP CONNECTORS
Modern PM Stack MCP Connectors
Our agents connect to the tools PMs actually use. Not random integrations.
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Teams Shipping with Agent MCP
Leading companies already have AI agents taking autonomous actions:
67 Linear tickets created by agents today
23 GitHub PRs opened by Code Agents
156 Notion docs updated automatically
52 experiments deployed via MCP
While you're manually creating tickets,
their agents are shipping fixes via MCP.
Agent MCP Questions
How AI agents use MCP to take autonomous actions
Your AI agents use MCP to take actions across your PM stack. Analytics Agent creates Linear tickets, Code Agent opens GitHub PRs, Research Agent updates Notion docs - all autonomously through MCP.
While others use MCP for chat interfaces, we use it for autonomous agent actions. Our agents don't just report - they fix bugs, run experiments, and update documentation without human intervention.
Agents connect to Linear (tickets), GitHub (code), Notion (docs), Slack (alerts), and AI assistants like Claude/ChatGPT. We focus on the modern PM stack, not random integrations.
Yes. Set permissions for each agent. Require approval for production deployments. Everything is logged. You can also control agents through ChatGPT or Claude using natural language.
Install SDK, agents activate immediately. MCP connections configure in under 5 minutes. Agents start taking actions within the first hour.