MCP Workflow for Coordinating Feature Launches.
Feature tickets tracked, deploys verified, launch emails sent , coordinate product releases without Slack threads and manual checklists
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your AI agent reads Linear: Project 'Q2 Product Launch' has 12 features. 10 are marked Done. 2 are still In Progress.
Of the 10 completed features: 'Bulk export for dashboard data' (PRD-141), 'Real-time notifications' (PRD-145), 'Dark mode for admin panel' (PRD-149) are marked as customer-facing launches.
The agent checks Vercel: the latest production deployment contains all three features , deploy v2.15.0 went live at 09:00 UTC today.
Build passed, production URL is active. The agent drafts launch communications: Feature announcement email for 'Bulk Export' targeting the Enterprise segment (2,340 contacts).
Feature announcement for 'Real-time Notifications' targeting all active users (12,500 contacts). 'Dark Mode' announcement targeting users who requested it (890 contacts from the feedback tag).
Each email includes the feature name, benefit summary and a CTA to try it. The agent creates the campaigns in Brevo and provides a summary: '3 features deployed and verified.
3 launch emails queued for 15,730 contacts across 3 segments. Ready to send.'
Connector Orchestration: 3 Connectors, one intelligent agent
Connect Linear, Vercel and Brevo Connectors so your AI agent reads completed feature tickets from Linear, verifies the features are deployed to production on Vercel, and triggers launch announcement emails via Brevo to your customer segments. Product and engineering teams who spend hours coordinating feature launches across Slack, email and project management tools get an automated launch pipeline. No forgotten launch emails. No features deployed but never announced. One prompt and the launch is coordinated.
Linear
triggerReads completed feature tickets and release milestones
list_issues search_issues get_issue list_projects list_cycles Vercel
actionVerifies features are deployed to production
list_deployments get_deployment_details get_project_details list_projects Brevo
actionSends feature launch announcements to customer segments
create_crm_contact list_contact_folders get_smtp_account_details create_contact_list Run This Automation Today
Connect Claude, ChatGPT, Cursor, or any AI agent to the Vinkius catalog and run this automation in minutes.
Build Your Own Connector
Convert any internal API into a Connector. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Connect & Automate
The 3 servers this recipe uses are ready in the catalog. Connect them once, paste a prompt, and your AI runs the full workflow.
- Linear, Vercel & Brevo ready in the catalog right now
- Add more from 5,800+ servers whenever you need
- Connections are secured and compliant by default
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added weekly
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 5,800+ Connectors and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across all tools, in one conversation. That's what this connectivity layer was built for.
Cross-Platform Intelligence
Your agent doesn't just connect to tools. It understands the relationships between them. Data flows where it needs to go, automatically, with full context preserved across all platforms.
Contextual Reasoning
Each decision your agent makes considers the full picture. It reads CRM data, checks calendars, reviews conversation history, and acts on everything at once. Not step by step. All at once.
Productivity at Scale
What used to take 45 minutes across five different dashboards now takes one sentence. Your agent runs the entire workflow end to end while you focus on decisions that actually matter.
Zero-Config Reliability
No API keys to paste. No webhooks to configure. No YAML to debug. Connect your Connectors once, and your agent handles the rest. Each time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius AI Connectors to handle these for you. You describe what you need. It does the rest.
Product managers coordinating feature launches who need automated deploy verification and email announcement triggering
Growth teams who want every customer-facing feature to have a targeted launch email without manual campaign creation
Engineering managers who want proof that shipped features were communicated to customers, closing the build-to-announce loop
Startups without a dedicated launch manager who need feature release coordination automated across project management and email
Frequently Asked Questions About This Connector Orchestration
Which Connectors do I need for this workflow?
Three: Linear, Vercel and Brevo. Connect all three to your AI client.
Does this work with Claude Desktop, Cursor or Windsurf?
Yes. Any AI client that supports the Model Context Protocol works , Claude Desktop, Cursor, Windsurf, Cline and others.
Can I use Jira instead of Linear?
Yes. Replace the Linear Connector with the Jira Cloud Connector. The agent reads completed tickets from Jira instead.
Does the agent send the emails automatically?
The agent creates campaigns in Draft status. You review the content and approve sending. This prevents accidental launches.
Can I use Mailchimp instead of Brevo?
Yes. Replace the Brevo Connector with the Mailchimp Connector. The campaign creation logic remains the same.
How does it know which features are customer-facing?
The agent reads Linear labels and tags. Features labeled 'customer-facing' or 'launch' are selected. Customize the criteria in your prompt.
Find API Vulnerabilities First Using MCP
Your OpenAPI spec has 14 security findings and 3 match active HackerOne reports , your agent creates the tickets before the bounty payout
Find Codebase Duplications Using Connectors
Your codebase has 4 different implementations of date formatting, 3 versions of the retry logic, and 2 competing validation libraries , but nobody knows because grep only finds exact matches and these duplicates are semantic
How Connectors Auto-Triage Bug Reports
New bugs detected, severity classified, sprint tickets created, team notified , triage your backlog without a standup
MCP Recipe to Fix Production Crashes Faster
Your app crashed 847 times yesterday and the error report sits in Honeybadger while your Linear board has no idea , the engineer who wrote the broken code merged a different PR today
MCP Recipe to Kill Codebase Bloat
Codebase audited, bloat identified, requirements questioned, lean tickets created , kill architectural complexity before it ships
Connectors for Multi-Client Sprint Management
Your dev team tracks their work in Linear but the PM reports to clients in ClickUp , which means every sprint update is manually transcribed between two tools, and by the time the client sees it in ClickUp the data is already outdated
Connectors used in this workflow
Linear
Linear MCP lets your AI agent manage your project boards, sprints, and issue tracking without you having to switch tabs. It handles everything from creating tickets and assigning priorities to checking cycle progress and querying team data.
Vercel
Vercel MCP brings your deployment infrastructure into your chat. Control project domains, trigger manual builds, and inspect deployment status natively without leaving your IDE. It connects your CI/CD pipeline to your AI client for faster hotfixes and environment management.
Brevo
Brevo MCP lets you run your marketing and communication workflows directly from your AI client. Send transactional emails, fire off SMS alerts, and manage your CRM contacts without leaving your chat window. It handles the backend stuff like syncing data and dispatching messages so you can focus on closing deals or solving tickets.