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Vinkius

Plane Connector for AI agents.

6 live capabilities

Manage agile projects and track sprint cycles directly through your AI client.

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AI Agent

Why people use Plane

Plane for automated sprint cycle auditing

This Connector changes that by letting your agent do the digging for you. You can just ask for a summary of the current cycle, and it will pull the data from list_cycles and list_work_items to give you a plain text update in seconds.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get direct data access to your agile workspace without the manual navigation.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Summarizing a stalled sprint

    The sprint is stalling.

  2. Real-world use case 02

    Checking feature scope

    You need to know the scope of a new feature.

  3. Real-world use case 03

    Reviewing ticket requirements

    You are stuck on a bug.

Complete set · 6capabilities

The complete Plane capability set.

These are the exact actions your AI can choose when you ask it to work with Plane.

Capability set01 / 02

01—03

3 capabilities in this set.

Part of 6 available through Plane.

  1. 01 Capability

    Get project

    Gets specific details of a Plane project. It pulls the high-fidelity descriptions and status parameters you need.

  2. 02 Capability

    List work items

    Lists work items or issues inside a Plane project. Use this to see exactly what tickets are in the pipeline.

  3. 03 Capability

    List cycles

    Lists all cycles within a specific Plane project. Use this to see what is currently in development.

Capability set02 / 02

04—06

3 capabilities in this set.

Part of 6 available through Plane.

  1. 04 Capability

    List modules

    Lists the modules inside a Plane project. It helps you see the high-level epics your team is tackling.

  2. 05 Capability

    List labels

    Lists all project labels in Plane. This is great for checking your categorization taxonomy.

  3. 06 Capability

    List projects

    Lists all projects in a Plane workspace. Use this to get a bird's eye view of your entire workspace.

Set up in minutes

One URL. Then ask Plane to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Plane from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_JKhdKYJDP25kJTYdQUGpXsbfCZz7sthr9OpDTwzO/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Plane, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Plane for the conversation.

Where the request belongs

Work Plane can move forward.

Built around the request

This is for the project manager tired of manual status updates, the lead engineer who wants to see the backlog without leaving their IDE, and the product owner who needs to cross-reference modules quickly.

01

Project Manager

Summarizes pending tasks in the current cycle and reports progress to stakeholders without leaving their chat interface.

02

Lead Engineer

Inspects the ticket backlog while writing code to verify module requirements and technical specs.

03

Product Owner

Cross-references structured modules against labels to audit the issue pipeline and ensure roadmap alignment.

Bring your own AI

Change the model, client or framework. Keep Plane connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
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  • Pieces
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  • LM Studio
  • AnythingLLM
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  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Plane.

The practical details behind the request, access and result.

Can the Plane MCP help me summarize my sprint progress?

Yes, it pulls your current cycle data and work items so your AI can give you a quick summary of what is finished and what is still pending.

How does the Plane MCP help with project management?

It lets your AI agent read your projects, modules, and labels to help you organize work and understand your roadmap without opening the app.

Can I use Plane MCP to see my engineering tickets?

Yes, the Connector can list all work items inside a project, allowing your agent to scan the backlog for specific tasks or issues.

Will the Plane MCP work with my self-hosted Plane instance?

Yes, you can provide your own self-hosted API URL along with your personal API key during the setup process.

Can I use Plane MCP to audit my project labels?

Yes, it can list all labels in your project, making it easy for your agent to check your taxonomy for consistency.

Does the Plane MCP require a specific AI client?

No, it works with any MCP-compatible client, including Claude, Cursor, and Windsurf.

Can I use Plane MCP to see my project modules?

Yes, it can pull the high-level modules and epics for your projects so you can see the bigger picture of your engineering work.

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.

One connection away

Give your agent a direct line to Plane.

Connect Plane once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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