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update is manually transcribed between two tools, and by the time the client sees it in ClickUp the data is already outdated
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your AI agent reads the current sprint from Linear , all issues, their statuses (backlog, in progress, in review, done), assignees, story points, blockers, and cycle metrics.
For each client project in the sprint, the agent maps Linear issues to ClickUp tasks and reports the status: 'BrandCo website redesign , Linear: 8 of 12 issues completed (67%).
2 in review. 2 blocked (waiting for API documentation from client). ClickUp status update: 67% complete, 2 items need client input.' The Google Sheet command center shows the agency-wide view: 'Sprint 14 , Team capacity: 320 points allocated across 5 clients.
BrandCo: 120 points (38% of capacity). TechFlow: 80 points (25%). Velocity: 85% of planned points completed last sprint. Forecast: BrandCo launch date at current velocity: July 12 (2 days behind schedule).' The PM opens one dashboard and sees every client's sprint progress, the team's capacity allocation, and delivery forecasts , without copying a single status between tools.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Linear, ClickUp and Google Sheets MCP servers so your AI agent reads sprint progress from Linear where your engineering team works, syncs status updates to ClickUp where clients track deliverables, and builds a unified capacity and velocity dashboard in Google Sheets. Development agencies where engineers use Linear for sprint management and clients expect updates in ClickUp , creating a gap where project managers manually copy task statuses between systems, introducing delays, errors, and 30 minutes of PM overhead per client per day that produces zero creative value.
Linear
triggerReads sprint progress, issue status, cycle velocity, team workload and blockers
list_issues get_issue list_teams list_cycles Clickup
actionUpdates client-facing task statuses, milestone progress and delivery timelines
list_list_tasks get_task_details list_space_lists list_space_folders Google Sheets
actionBuilds the agency-wide sprint command center with capacity allocation, velocity trends and delivery forecasts
create_spreadsheet update_sheet_values append_sheet_values batch_get_values 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, Clickup & Google Sheets 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.
Development agencies where engineers use Linear and clients track progress in ClickUp, needing status synchronization
Agency tech leads monitoring sprint velocity and capacity allocation across multiple concurrent client projects
Project managers who want to eliminate manual status copying between internal and client-facing project management tools
Agency owners tracking delivery forecasts based on actual velocity data instead of optimistic PM estimates
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: Linear, ClickUp and Google Sheets. Connect all three to your AI client before running any prompt from this page.
Does this work with Claude Desktop, Cursor or Windsurf?
Yes. Any AI client supporting the Model Context Protocol works , Claude Desktop, Cursor, Windsurf, Cline and others.
Does the agent overwrite ClickUp task data?
The agent reads from ClickUp to check current status. It reports the delta between Linear and ClickUp , you decide which updates to push. No data is overwritten without your review.
Is my project data secure?
MCP servers authenticate through API keys. Linear, ClickUp and Google Sheets data stays in your accounts. Vinkius does not store your sprint or project data.
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 Sprint Report Generation
Sprint reports that write themselves , issues, PRs and velocity stats in one sheet
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.
ClickUp
ClickUp. Manage your entire project lifecycle directly from your AI agent. Use this server to list workspaces, check task statuses, create to-dos, and map out complex project hierarchies without opening the ClickUp dashboard. It gives your agent full visibility into your team's structure, from top-level workspaces down to individual subtasks.
Google Sheets
Google Sheets MCP Server lets your AI client read, write, and manage data directly in Google Sheets. Use conversational commands to pull data from specific ranges, append new rows, or structure entire spreadsheets. It acts as an analyst, letting you manipulate complex data without opening the GUI or writing formulas.