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Checking task status, reading requirements, and recording updates are routine parts of a project team’s day. After moving to a self-hosted project management platform, we looked at how AI integration could reduce that routine effort. We built a Plane MCP server that allows Claude to read and update work items in Plane for our project managers, so routine checks and status updates take place in a single conversation.
The Model Context Protocol (MCP) is an open standard introduced by Anthropic in November 2024. It gives AI assistants a common way to connect to the tools where a team’s work is recorded, so each tool needs one connector instead of a custom integration for every assistant.
Three parts make it work:
In our setup, the flow is as follows:
Claude Desktop or Claude Code -> Plane MCP server (your computer) -> Plane (self-hosted)
The server receives a request from Claude, calls Plane’s API using the user’s own access key, and returns the result to the conversation.
Plane is an open-source project management platform built around work items, cycles, and modules. A Plane MCP server translates requests from Claude, the AI assistant developed by Anthropic, into Plane actions. Our version provides 77 core capabilities by default and 108 in extended mode (project documentation, 2026).
The AI can work across these areas:
Extended mode adds project and workspace administration, archives, custom work item types and properties, intake and time tracking.
Our project management team began in ClickUp and wanted more options than its free plan included. We looked for a platform that we could host ourselves, so that project data would remain on our own servers. We selected the open-source edition of Plane and now operate it in-house, consistent with our own mock API server, which we published as open source.
The move delivered three business benefits:
Knowing exactly where project data is stored also supports conversations with clients in regulated sectors, such as banking.
Hosting Plane internally provided the right foundation. The next step was to reduce how often people needed to open Plane only to check tasks and update statuses. Plane offers an official MCP server, and we built a version designed around our self-hosted setup, published as open source under the MIT License.
| Factor | Plane’s official server | Our server |
| Language | Python 3.10 or newer | Node.js 20 or newer |
| Start command | uvx | npx |
| Connection options | Local, or hosted over the web | Local |
| Sign-in | Browser sign-in (OAuth) or access key | Personal access key |
| Tool design | 30 tools covering 204 operations | 77 core tools, 108 in extended mode |
| Self-hosted Plane | Supported through a custom Plane address | Supported through a custom Plane address |
The two tool counts reflect different designs. The official server groups many operations under fewer tools, so the counts are best compared by design rather than by total. We keep our core set at 77 capabilities so that the assistant has fewer choices to weigh at each step.
Each option suits a different situation:
Project managers are the main users today, and developers can follow the same workflow. Each person runs the server on their own computer with their own Plane access key, and Plane remains the single record of every task.
A typical project manager workflow includes:

For an individual task, the developer workflow is as follows:
The review in step 5 is intentional, because every status change reflects a person’s judgement.
Setup is quick and requires Node.js 20 or newer. Each team member follows the same steps on their own computer.
{
“mcpServers”: {
“plane”: {
“command”: “npx”,
“args”: [“-y”, “@zethictech/plane-mcp-server”],
“env”: {
“PLANE_BASE_URL”: “https://your-plane-instance.com”,
“PLANE_API_KEY”: “YOUR_PLANE_ACCESS_KEY”,
“DEFAULT_WORKSPACE_SLUG”: “your-workspace-name”,
“PLANE_MCP_EXTENDED”: “false”
}
}
}
}
The settings work as follows:
Claude Code users can register the same server with the claude mcp add command and the same settings. If the server needs attention, these checks resolve most cases:
The benefits of this AI integration appear in routine activity, particularly for project managers. The table compares the earlier process with the current one.
| Activity | Earlier process | With the Plane MCP server |
| Checking tasks, deadlines and status | Opening Plane and filtering manually | Asking Claude in plain language |
| Reading requirements | Moving between several tools | Claude reads the task and works from it |
| Updating status | A manual update after each task | An update after the task is reviewed |
| Routine project follow-up | Regular checks on progress | Attention on decisions and reviews |
| Task tracking | Maintained manually in Plane | Maintained through the conversation, still in Plane |
Different roles benefit in different ways:
Reliability comes from how the workflow is designed. We keep a person involved at the point where a task status changes. This is a core consideration in agentic AI development, where assistants act inside business systems.
Teams with additional security requirements can add regular key rotation and access reviews.
Claude works from the content of each task, so the following practices improve results:
We built this server to address a requirement within our own team. The same approach guides our client work: identify the routine step that takes up a team’s time, then connect AI to the system where the work is already recorded. Because the server is open source, other teams using Plane can install it and adapt it to their needs.
This approach is part of our AI and engineering services:
At Zethic, we use a Plane MCP server to bring routine task tracking into a conversation, using the tools our team already has. Teams that track work in a self-hosted tool can follow the same approach. Our engineering team can review an existing workflow and suggest a practical integration. We recommend starting with read-only access to one project, so the team can see how it works before any updates are enabled. Further access can then be added in stages as the team gains confidence.
Let Zethic help you build smarter Not just faster
A Plane MCP server is a small program that connects an AI assistant such as Claude to a Plane workspace. It allows the assistant to read work items and update them through the Model Context Protocol.
Claude can show assigned work items, read their descriptions, deadlines and requirements, create and update work items including their status, add comments, and create many work items in one step.
Yes. It is open source under the MIT License and freely available to download. Teams need only their own Plane workspace and access key.
It requires Node.js 20 or newer, a Plane address, a personal access key and a workspace name.
Yes. Teams enter their Plane address, access key and workspace name, and the server connects to that instance.
It is built for Claude Desktop and Claude Code.
Each person connects with their own Plane access key, and the server runs on their own computer with no third-party connector in between. Task details are shared with Claude during a conversation, so teams in regulated sectors should review this against their data policy. Teams with additional security requirements can add regular key rotation and access reviews.
It acts on the user’s instructions. Our workflow adds a review before any status changes.

Head of Delivery Varun leads delivery and engineering teams across a wide portfolio of client engagements, turning complex requirements into predictable, well-run projects. He specializes in delivery operations and AI-driven workflows that help teams ship reliably while keeping quality and client trust at the center of every build.
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