Bring Agile Methodology
to Vercel AI SDK
Learn how to connect VivifyScrum to Vercel AI SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the VivifyScrum MCP Server?
Connect your VivifyScrum account to any AI agent and simplify how you manage your Scrum and Kanban workflows through natural conversation.
What you can do
- Board Management — List all boards and organizations, and retrieve detailed configuration metadata for specific project spaces.
- Task Control — Create, list, and update items (tasks and stories) directly on your agile boards.
- Sprint Planning — List sprints for a board to track progress and plan future development cycles.
- Team Coordination — Query team lists and organization members to manage access and visibility.
- Operational Tracking — Monitor worklogs for time tracking and list configured webhooks for event monitoring.
How it works
1. Subscribe to this server
2. Enter your VivifyScrum API Token (found in your account profile settings)
3. Start managing your agile projects from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Project Managers & Scrum Masters — quickly retrieve board items and sprint statuses via simple AI queries.
- Agile Teams — update task descriptions and check worklogs without leaving the workspace.
- Product Owners — monitor project progress and organization structure directly from the AI assistant.
Built-in capabilities (12)
Create a new task/story
Get account details
Get board details
Get item details
Get board worklogs
List items on a board
List all boards
List all organizations
List board sprints
List all teams
List configured webhooks
Update an item
Why Vercel AI SDK?
The Vercel AI SDK gives every VivifyScrum tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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 VivifyScrum integration everywhere
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Built-in streaming UI primitives let you display VivifyScrum 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
VivifyScrum in Vercel AI SDK
VivifyScrum and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect VivifyScrum 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 VivifyScrum in Vercel AI SDK
The VivifyScrum 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 12 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
VivifyScrum for Vercel AI SDK
Every tool call from Vercel AI SDK to the VivifyScrum MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I list all the tasks assigned to a specific board?
Yes! Use the list_board_items tool and provide the Board ID. Your agent will retrieve all tasks and stories for that project.
How do I see the active sprints for my project?
Run the list_sprints query with your Board ID. The agent will return a list of all sprints associated with that board, including their current status.
Is it possible to track time logs via AI?
Absolutely. Use the get_worklogs tool with your Board ID to retrieve the history of time tracking entries for that project.
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