Bring Agile
to OpenAI Agents SDK
Create your Vinkius account to connect Plane to OpenAI Agents SDK and start using all 6 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Plane MCP Server?
Equip any AI agent with direct access to your Plane workspace. Whether you're using Plane Cloud or self-hosting, your AI assistant can seamlessly retrieve projects, analyze agile cycles, and parse the active issues pipeline without forcing you to click through kanban boards manually.
What you can do
- Projects & Core Entities — Extract isolated project architectures spanning across your Workspace, pulling high-fidelity descriptions and status parameters.
- Agile Cycles (Sprints) — Command the agent to list and structure your active development cycles, evaluating timelines and completion statuses.
- Work Items (Issues) — Perform deep sweeps over tasks and explicit tickets inside boundary states, analyzing what your engineering team is actually building.
- Modules & Taxonomy — Read epics (modules) and static categorization labels dictating your issue pipelines.
How it works
- Install this integration onto your agent layer
- Provide your Plane Personal API Key (and optionally, your self-hosted API URL)
- Start fetching sprints and active cycles immediately from Cursor, Claude, or any MCP client
Who is this for?
- Project Managers — instantly retrieve all pending tasks in the current cycle (
list_cycles&list_work_items) and summarize progress dynamically. - Lead Engineers — inspect the ticket backlog without leaving your IDE; write code and verify module requirements consecutively.
- Product Teams — cross-reference structured modules versus labels without dealing with the visual planner interface.
Built-in capabilities (6)
Get specific details of a Plane project
List cycles inside a Plane project
List project labels in Plane
List modules inside a Plane project
List projects in a Plane workspace
List work items (issues) inside a Plane project
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 6 tools from Plane through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Plane, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
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
Plane in OpenAI Agents SDK
Why run Plane with Vinkius?
The Plane connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 6 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Plane using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Plane and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Plane to OpenAI Agents SDK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Plane for OpenAI Agents SDK
Every request between OpenAI Agents SDK and Plane is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can my AI automatically aggregate all open issues inside our active sprint?
Yes. First, request the active iteration window by calling list_cycles. The agent will isolate today's active cycle bounds. Following that, it will invoke list_work_items directly constrained by that cycle object, outputting an exhaustive summary of untouched or blocking tickets.
How does the agent handle custom workspace slugs or self-hosted URLs?
The system dynamically accepts a PLANE_BASE_URL credential. If you are doing an on-premise installation running inside your homelab or company AWS cloud, you merely inject your private domain (e.g., https://plane.internal.acme.com). The workspace slug is seamlessly accepted as a contextual execution parameter during standard query prompts.
Can I request specific details of a long-term module (epic)?
You can instruct the agent to execute list_modules. It extracts the cross-functional epics spanning your workspace project. Your AI can read these top-level module architectures to contextually understand what the core functionality of the project repository aims to achieve.
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.
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