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.'
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Linear, Vercel and Brevo MCP servers 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 MCP
Turn any internal API into an MCP server. 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 every 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 4,700+ servers whenever you need
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added every week
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 4,700+ MCP servers and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across every tool, in one conversation. That's what this infrastructure 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 every platform.
Contextual Reasoning
Every 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 MCP servers once, and your agent handles the rest. Every time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius MCP catalog 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 MCP Server Orchestration
Which MCP servers 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 MCP server with the Jira Cloud MCP server. 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 MCP server with the Mailchimp MCP server. 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 MCP Servers
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 MCP Servers 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
MCP Servers 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
MCP servers used in this workflow
Linear
Linear lets your AI client read, write, and manage issues directly inside Linear—no tab switching needed. You can list all teams, search for specific bugs, create new tasks with defined priorities, or add comments right from your IDE. It gives your agent full control over project metadata, allowing you to check sprint progress, view project scope, and audit issue status using natural conversation.
Vercel
Vercel MCP Server lets your AI agent manage all deployment tasks directly in chat. You can list projects, trigger builds from a specific GitHub commit ref, check live build status, and audit custom domains—all without opening the Vercel web UI or clicking through dashboards.
Brevo
Brevo MCP Server. Automate your full marketing and support stack from any chat client. Send transactional emails, dispatch SMS messages, and manage contacts—all without logging into a separate platform. Create new CRM profiles, update attributes, and list existing contacts using simple commands.