Plane Connector for AI agents.
6 live capabilities
Manage agile projects and track sprint cycles directly through your AI client.
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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.
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
- Real-world use case 01
Summarizing a stalled sprint
The sprint is stalling.
- Real-world use case 02
Checking feature scope
You need to know the scope of a new feature.
- 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.
01—03
3 capabilities in this set.
Part of 6 available through Plane.
- 01 Capability
Get project
Gets specific details of a Plane project. It pulls the high-fidelity descriptions and status parameters you need.
- 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.
- 03 Capability
List cycles
Lists all cycles within a specific Plane project. Use this to see what is currently in development.
04—06
3 capabilities in this set.
Part of 6 available through Plane.
- 04 Capability
List modules
Lists the modules inside a Plane project. It helps you see the high-level epics your team is tackling.
- 05 Capability
List labels
Lists all project labels in Plane. This is great for checking your categorization taxonomy.
- 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 previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_JKhdKYJDP25kJTYdQUGpXsbfCZz7sthr9OpDTwzO/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Plane, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Plane for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_JKhdKYJDP25kJTYdQUGpXsbfCZz7sthr9OpDTwzO/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Plane URL.
- Step 03
Save and start
Save the connection and enable Plane in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"plane": {
"url": "https://edge.vinkius.com/vk_preview_JKhdKYJDP25kJTYdQUGpXsbfCZz7sthr9OpDTwzO/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Plane
Open Agent mode in chat and ask: "Using Plane, help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"plane": {
"url": "https://edge.vinkius.com/vk_preview_JKhdKYJDP25kJTYdQUGpXsbfCZz7sthr9OpDTwzO/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Plane
Ask Copilot: "Using Plane, help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"plane": {
"url": "https://edge.vinkius.com/vk_preview_JKhdKYJDP25kJTYdQUGpXsbfCZz7sthr9OpDTwzO/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Plane
Open Cascade and ask: "Using Plane, help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"plane": {
"url": "https://edge.vinkius.com/vk_preview_JKhdKYJDP25kJTYdQUGpXsbfCZz7sthr9OpDTwzO/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Plane
Ask Cline: "Using Plane, help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add plane --transport http "https://edge.vinkius.com/vk_preview_JKhdKYJDP25kJTYdQUGpXsbfCZz7sthr9OpDTwzO/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Plane
Ask Claude: "Using Plane, show me...". 6 tools are ready
Where the request belongs
Work Plane can move forward.
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.
Project Manager
Summarizes pending tasks in the current cycle and reports progress to stakeholders without leaving their chat interface.
Lead Engineer
Inspects the ticket backlog while writing code to verify module requirements and technical specs.
Product Owner
Cross-references structured modules against labels to audit the issue pipeline and ensure roadmap alignment.
Build the capability set
Add more capabilities.
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Bring your own AI
Change the model, client or framework. Keep Plane connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
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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