Bring Kanban
to OpenAI Agents SDK
Learn how to connect KanbanTool to OpenAI Agents 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.
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 a task card
Add a new card to a board
Get metadata and tasks for a board
Get details for a task
Get current user profile
List tasks on a board
List your Kanban boards
List shared board links
List history for a task
Modify an existing task
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 10 tools from KanbanTool through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries KanbanTool, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
KanbanTool in OpenAI Agents SDK
KanbanTool and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect KanbanTool to OpenAI Agents 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 KanbanTool in OpenAI Agents 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 OpenAI Agents 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
KanbanTool for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the KanbanTool MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
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.
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.
How does the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.