Bring Product Management
to Vercel AI SDK
Learn how to connect Craft.io to Vercel AI SDK and start using 13 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Craft.io MCP Server?
Connect your Craft.io product management account to any AI agent and simplify how you coordinate your product strategy, manage features, and monitor roadmaps through natural conversation.
What you can do
- Workspace Oversight — List all product management workspaces and retrieve detailed metadata and configurations.
- Feature & Epic Tracking — List, query, and create new items (features, stories, epics) within your workspaces to manage your backlog.
- Portfolio Control — List and query product portfolios to understand high-level organizational distribution and strategy.
- Data Insights — Fetch complete metadata, descriptions, and current status for any specific product item via AI.
- Roadmap Monitoring — Track the progress of features and epics directly from your agent to stay on top of your release cycle.
- Operational Visibility — Check account status and verify project metadata directly from Claude, Cursor, or any MCP client.
How it works
1. Subscribe to this server
2. Enter your Craft.io API Key and Account ID (found in your account settings)
3. Start managing your product ecosystem from your favorite AI assistant
Who is this for?
- Product Managers & Owners — quickly retrieve feature details and update backlog items via simple AI commands.
- Engineering Leads — monitor epic progress and verify feature requirements directly from the workspace.
- Product Operations — manage workspace distributions and verify portfolio metadata via the AI assistant.
Built-in capabilities (13)
Verify connectivity
Create an item
Get company details
Get competitors
Get company employees
Get company financials
Get company news
Get item details
Get portfolio details
List workspace items
List portfolios
List workspaces
Search companies
Why Vercel AI SDK?
The Vercel AI SDK gives every Craft.io tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 13 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Craft.io integration everywhere
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Built-in streaming UI primitives let you display Craft.io tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Craft.io in Vercel AI SDK
Craft.io and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Craft.io to Vercel AI SDK 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 Craft.io in Vercel AI SDK
The Craft.io 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 13 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK 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
Craft.io for Vercel AI SDK
Every tool call from Vercel AI SDK to the Craft.io MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see all the items in a specific workspace via AI?
Yes! Use the list_workspace_items tool and provide the Workspace ID. Your agent will retrieve all features, stories, and epics organized within that environment.
How do I add a new feature to my backlog using the agent?
Use the create_product_item action. Provide the Workspace ID and the title of the feature. The agent will instantly create the record in your Craft.io account.
Is it possible to list all my product portfolios via AI?
Absolutely. Use the list_product_portfolios query. The agent will retrieve the complete list of portfolios configured in your account, allowing you to monitor high-level strategy.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp