Bring Airfocus
to Mastra AI
Learn how to connect airfocus to Mastra AI and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the airfocus MCP Server?
Connect your airfocus account to any AI agent and take full control of your product management and strategic roadmapping workflows through natural conversation.
What you can do
- Workspace & Roadmap Orchestration — List all strategic workspaces programmatically, retrieving detailed metadata and custom fields tailored for every product board
- Item Lifecycle Management — Programmatically create and update tasks, features, and initiatives, monitoring status transitions and high-fidelity descriptions in real-time
- Prioritization Intelligence — Retrieve and update prioritization scores and custom field data to coordinate your product strategy and team alignment perfectly
- Cross-functional Sync — Ensure your engineering context matches product roadmaps by querying specific item details directly through your agent
- Infrastructure Monitoring — Access high-fidelity metadata for your workspaces and manage field definitions to maintain a perfectly coordinated project environment
How it works
1. Subscribe to this server
2. Retrieve your API Key from your airfocus Member settings
3. Start orchestrating your product strategy from Claude, Cursor, or any MCP client
No more manual toggling between browser tabs to check feature statuses or roadmap priorities. Your AI acts as your dedicated product manager and strategic coordinator.
Who is this for?
- Product Managers — instantly retrieve roadmap summaries and update prioritization scores using natural language commands
- Engineering Teams — check product requirements and sync metadata without leaving your creative workspace
- Strategic Leads — automate the oversight of roadmap metrics and workspace distribution through simple AI queries
Built-in capabilities (6)
Create an item
Get item details
List custom fields
List workspace items
List all workspaces
Update an item
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and airfocus tool infrastructure. Connect 6 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add airfocus without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every airfocus tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
airfocus in Mastra AI
airfocus and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect airfocus to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for airfocus in Mastra AI
The airfocus MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
airfocus for Mastra AI
Every tool call from Mastra AI to the airfocus MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my airfocus API Key?
Log in to airfocus, go to Member settings > API keys, and generate a new key for your integration.
Can I update custom fields via AI?
Yes! The update_airfocus_item tool allows your agent to modify any field by providing a JSON object with the field IDs and new values.
How do I find my Workspace ID?
Use the list_airfocus_workspaces tool to retrieve your complete directory of workspaces along with their unique high-fidelity IDs.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp