KanbanTool MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 10 tools to Archive Task Card, Create Task Card, Get Board Details, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect KanbanTool through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The KanbanTool app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="KanbanTool Assistant",
instructions=(
"You help users interact with KanbanTool. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from KanbanTool"
)
print(result.final_output)
asyncio.run(main())
* 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
About KanbanTool MCP Server
Connect your KanbanTool account to any AI agent and manage kanban boards through natural conversation.
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.
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
The KanbanTool MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 KanbanTool tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to KanbanTool through Vinkius, your AI agent gets direct access to every tool listed below — spanning kanban, agile, workflow-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
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
Connect KanbanTool to OpenAI Agents SDK via MCP
Follow these steps to wire KanbanTool into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the KanbanTool MCP Server
OpenAI Agents SDK provides unique advantages when paired with KanbanTool through the Model Context Protocol.
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
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
KanbanTool + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the KanbanTool MCP Server delivers measurable value.
Automated workflows: build agents that query KanbanTool, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries KanbanTool, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through KanbanTool tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query KanbanTool to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for KanbanTool in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with KanbanTool immediately.
"Show all boards and the cards in the 'Sprint Board' by column."
"Create a new card 'Implement OAuth' in To Do and move 'API Rate Limiting' to Done."
"Show team workload and all cards assigned to Sarah."
Troubleshooting KanbanTool MCP Server with OpenAI Agents SDK
Common issues when connecting KanbanTool to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
KanbanTool + OpenAI Agents SDK FAQ
Common questions about integrating KanbanTool MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
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?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.