ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Plane with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Manage Plane.so projects, track issues, review sprint cycles, and audit agile modules completely autonomously.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 6 capabilities

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

    List work items

    List work items (issues) inside a Plane project

  2. 02

    List cycles

    List cycles inside a Plane project

  3. 03

    List modules

    List modules inside a Plane project

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through Plane.

  1. 04

    List projects

    List projects in a Plane workspace

  2. 05

    Get project

    Get specific details of a Plane project

  3. 06

    List labels

    List project labels in Plane

Observed, not estimated

838ms average. Fast in production.

Plane is checked daily against the live service.

Daily averagePeak 1029ms
Aug 20Today
Fastest day
693ms
Slowest day
1029ms
14-day trend
Slowing+24%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 6 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Plane, so you can see the experience inside your AI.

It does not authenticate your account with Plane. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Plane Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_JKhdKYJDP25kJTYdQUGpXsbfCZz7sthr9OpDTwzO/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Plane capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "plane-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_JKhdKYJDP25kJTYdQUGpXsbfCZz7sthr9OpDTwzO/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Plane owners ask.

  • 01

    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.

  • 02

    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.

  • 03

    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.