3,400+ MCP servers ready to use
Vinkius

Bring Kanban
to Vercel AI SDK

Learn how to connect KanbanTool to Vercel AI SDK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Archive Task CardCreate Task CardGet Board DetailsGet Task DetailsGet User ProfileList Board TasksList BoardsList Shared LinksList Task ActivitiesUpdate Task Details

What is the KanbanTool MCP Server?

Connect your KanbanTool account to any AI agent and manage kanban boards through natural conversation.

What you can do

  • Board Management — List all boards, inspect layouts, and configure columns
  • Task Management — Create, move, update, and archive cards across columns
  • Workflow Tracking — Monitor cards across workflow stages (To Do, In Progress, Done)
  • Team Collaboration — Assign cards to team members and track workload
  • WIP Monitoring — Track work-in-progress limits and bottlenecks
  • Activity History — View card activity and changelog

How it works

1. Subscribe to this server
2. Enter your KanbanTool subdomain and API Token
3. Start managing boards from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Project Managers — manage tasks and monitor workflow progress
  • Development Teams — track sprint boards and WIP limits
  • Operations — organize work across stages and teams

Built-in capabilities (10)

archive_task_card

Archive a task card

create_task_card

Add a new card to a board

get_board_details

Get metadata and tasks for a board

get_task_details

Get details for a task

get_user_profile

Get current user profile

list_board_tasks

List tasks on a board

list_boards

List your Kanban boards

list_shared_links

List shared board links

list_task_activities

List history for a task

update_task_details

Modify an existing task

Why Vercel AI SDK?

The Vercel AI SDK gives every KanbanTool tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

  • TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

  • Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same KanbanTool integration everywhere

  • Built-in streaming UI primitives let you display KanbanTool tool results progressively in React, Svelte, or Vue components

  • Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

See it in action

KanbanTool in Vercel AI SDK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

KanbanTool and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect KanbanTool 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.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for KanbanTool in Vercel AI SDK

The KanbanTool 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 10 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.

KanbanTool
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures KanbanTool for Vercel AI SDK

Every tool call from Vercel AI SDK to the KanbanTool MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I create and move cards across board columns?

Yes. Create new cards in any column, move them across workflow stages, update details, and archive completed cards. Track card history and activity.

02

Does KanbanTool require a subdomain?

Yes. Each KanbanTool account has a unique subdomain (e.g., your-team). Provide the subdomain and API Token. Bearer token against https://{subdomain}.kanbantool.com/api/v3.

03

Can I monitor WIP limits and identify bottlenecks?

Yes. Track how many cards are in each column relative to WIP limits. Identify bottleneck columns where work is accumulating beyond limits.

04

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.

05

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.

06

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.

07

createMCPClient is not a function

Install: npm install @ai-sdk/mcp