Airfocus MCP for AI Agents. Control Your Product Roadmap with AI.
airfocus MCP lets you take control of your product roadmap directly through natural conversation. You can programmatically manage the entire feature lifecycle, from listing all strategic workspaces to updating complex prioritization scores. Need to know what features are ready for development? This MCP gives your AI agent deep access to your airfocus data, letting you instantly list items, retrieve metadata, and coordinate product strategy without switching tabs or running manual reports.
Claude 
ChatGPT 
Cursor 
Gemini 
Windsurf 
VS Code 
JetBrains 
Vercel Give Claude and any AI agent real-world access
List every strategic workspace in your account so you know exactly where to look for data.
Retrieve detailed information on any single item, including its current metadata and high-fidelity descriptions.
Change the details of an existing feature or initiative, like moving a task from 'In Progress' to 'Complete'.
Add entirely new items, tasks, or initiatives directly into your designated product board.
Update prioritization scores and custom field data to align the team on what truly matters for the next build cycle.
Ask an AI about this
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What AI agents can do with airfocus MCP: 6 Tools for Product Roadmapping
These tools allow your AI client to perform specific actions within airfocus, such as creating new features, retrieving detailed metadata, or updating prioritization scores across multiple workspaces.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using airfocus MCPCreate Airfocus Item
Adds a new feature or task to any designated workspace.
Get Airfocus Item
Pulls specific, detailed data for one item on the board.
List Airfocus Fields
Retrieves a list of all custom fields used to score and categorize features across...
List Airfocus Items
Shows you all the items currently contained within a specific workspace board.
List Airfocus Workspaces
Lists every major strategic project area or roadmap available in your account.
Update Airfocus Item
Modifies the status, description, or score of an existing feature item.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Airfocus integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. 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
Make Your AI Do More
Start with airfocus, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by airfocus. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on each call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
The friction of managing a complex product roadmap is relentless. Solved with Vinkius AI Gateway
Today, coordinating a single project's feature set means toggling between airfocus in your browser, switching context to check Jira tickets for status updates, and copying priority scores into a separate Google Sheet. You spend more time managing the *process* of tracking than actually building the product.
With this MCP, you keep all that context inside your AI agent. Instead of clicking through dozens of boards or manually aggregating data from multiple sources, you talk to your agent and it pulls all the necessary item details—the status, the score, the owner—and delivers a clean answer immediately.
airfocus MCP: Full Control Over Feature Status
The need to manually check if a feature is ready for development or what its current scoring criteria are disappears. You don't have to ask, 'What's the status of X?' Instead, you simply prompt your agent, and it uses get_airfocus_item to deliver that specific data point.
The result isn't just better reporting; it’s a fundamental change in how fast your team moves. You go from spending hours synthesizing reports to getting immediate, conversational answers about what's ready to build.
What your AI can actually do with this
Think of this MCP as a dedicated Chief Product Officer embedded in your workflow. It lets you manage your entire product roadmap—the features, initiatives, and tasks—simply by talking to your agent. Instead of opening five different browser tabs just to check the status of 'User Analytics' or verify if 'Mobile App v2' is ready for engineering context, your AI handles it all in one conversation.
You can ask your agent to list all strategic workspaces, get detailed metadata on specific features, and even update prioritization scores across multiple boards automatically. If you're using Vinkius as part of your overall catalog connection, this MCP ensures that airfocus data becomes another reliable source for your AI client, finally giving you the full picture of what needs to be built next.
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Here's how it actually works
The bottom line is you stop managing data and start having conversations with it.
Subscribe to this MCP in Vinkius and grab your API key from your airfocus settings.
Connect that key to any compatible AI client, like Claude or Cursor.
Ask your agent a natural language question, for example, 'List all active features in the Q3 roadmap workspace.' The MCP handles the rest.
Who is this actually for?
This connector is for anyone drowning in Jira dashboards, Trello boards, and Notion pages. If your job involves constantly cross-referencing feature status or arguing about whether 'Impact' scores are current, you need this. It’s built for the tactical execution layer of product strategy.
You use it to list roadmap summaries and update prioritization scores instantly with natural language commands.
You check product requirements and sync necessary metadata without having to leave your code editor or primary workflow tool.
You automate the oversight of roadmap metrics across multiple workspaces using simple, targeted AI queries.
What Changes When You Connect
Stop manually checking status updates. Use get_airfocus_item to pull the detailed metadata for any feature, instantly confirming its current state and description.
Never lose track of your scope again. list_airfocus_workspaces lets you programmatically see every single strategic roadmap area in your entire account.
Maintain perfect team alignment by using update_airfocus_item to adjust prioritization scores across multiple initiatives with a simple prompt.
Get engineering context without leaving your IDE. Your agent can query specific item details, ensuring the code matches the product requirements before you write a line of code.
Speed up feature definition. You can use create_airfocus_item to register new ideas or tasks onto the roadmap instantly, keeping your flow going.
See it in action
The quarterly sync meeting prep
A Product Owner needs a summary of all high-priority features for the Q3 review. They ask their agent to list airfocus workspaces, then pull details on items with an 'Impact' score above 80. The agent returns a clean, actionable list that requires zero manual formatting.
The urgent bug fix request
An engineer needs to know exactly what the current production scope is for the payment flow. They use get_airfocus_item on the 'Payment Gateway' item, retrieving all necessary metadata so they can begin fixing without needing a meeting.
The new feature ideation phase
A Product Manager brainstorms five potential features. Instead of manually creating them in airfocus, they use create_airfocus_item for all five at once, then ask the agent to list_airfocus_fields so they can set up custom scoring criteria immediately.
Syncing between PM and Eng
The engineering team finished a component early. They use update_airfocus_item via their agent, changing the 'Mobile App v2' item status from 'In Progress' to 'Ready for Review,' keeping the roadmap accurate automatically.
The honest tradeoffs
What to watch out for, and the recommended way to handle each one.
Over-relying on manual exports
The PM downloads a CSV of all features, opens it in Excel, and tries to cross-reference status codes with another spreadsheet showing the current quarter’s goals. This takes 45 minutes.
Just prompt your agent: 'List all items in the Q3 roadmap workspace that have an Effort score greater than 5.' The agent uses list_airfocus_items and list_airfocus_fields to give you the exact data set instantly.
Ignoring item dependencies
The team assumes Feature B can start because it's listed, but they don't know if its prerequisite, Feature A, has been updated or approved yet.
Use get_airfocus_item for both features. By comparing the detailed metadata from each item, you confirm that all necessary status transitions were completed before starting work.
Trying to build complex workflows without APIs
The team needs a script that checks every single workspace and updates the 'Owner' field if the 'Last Edited Date' is over 30 days old. Doing this manually is impossible.
Your agent can list all workspaces, then iterate through them using the MCP to check item details and update items across your entire portfolio.
When It Fits, When It Doesn't
Use this MCP if your core problem involves managing complex relationships between different features or roadmaps. If you need your AI client to perform actions like creating records, updating status scores, or retrieving deep metadata on specific project boards, this is the right choice. Don't use it if you simply want a read-only view of historical data; in that case, a basic API connector might suffice. You must use this MCP when your workflow requires coordinating multiple elements—like checking an item’s status and then updating its associated priority score. This tool gives deep write access to the heart of product strategy.
Questions you might have
How does the airfocus MCP help with feature prioritization? +
It lets you update_airfocus_item and list_airfocus_fields. You can programmatically adjust scoring metrics, like 'Impact' or 'Effort', based on strategic decisions without touching the web interface.
Can I use airfocus MCP to see all my project boards? +
Yes. The list_airfocus_workspaces tool lets you programmatically retrieve a full catalog of every workspace in your account, helping you manage scope across multiple projects.
What if I want to add a brand new feature idea? +
Use the create_airfocus_item function. You can ask your agent to register a new task or initiative onto any board with simple natural language commands.
Does airfocus MCP only work for active items? +
No, it works across the whole lifecycle. By using list_airfocus_items and get_airfocus_item, you can pull status details on everything, whether it's a draft idea or an item marked as complete.
Is airfocus MCP better than just viewing data in the web interface? +
Yes. The major difference is that this MCP allows your agent to perform actions—it doesn't just read; it writes and updates the underlying records, which you can't do with a simple view.