Let AI manage projects, tasks, cycles, and modules in self-hosted Plane.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Plane MCP Server" yet — see the docs or source repo.
Connect to my Plane workspace, list all incomplete tasks in the current project, and organize them by priority.
A list of incomplete project tasks, grouped or sorted by priority.
Read the cycle data in this Plane project and tell me which tasks are in the current cycle and whether any items are unassigned.
An overview of tasks in the current cycle, plus any tasks not assigned to a cycle.
Summarize tasks in this Plane project by module, listing task counts and key items for each module.
A module-based task summary with counts and key work items.
Product managers or team members can ask AI to read project, task, and cycle data from a Plane workspace to quickly understand progress and pending work. It fits everyday project tracking.
When a project is split into modules, users can have AI summarize tasks by module to clarify ownership and focus areas. It is useful for multi-module collaboration.
For teams using self-hosted Plane, this MCP tool acts as a bridge between AI and the workspace so models can work with project management objects. It suits teams that want AI-assisted management in internal environments.
It is an MCP tool that lets AI models interact with a self-hosted Plane workspace. Based on the provided information, it supports managing tasks, projects, cycles, and modules.
From the description, you need a self-hosted Plane workspace. Other installation, authentication, or runtime requirements are not provided; see the source repository.
The provided information explicitly mentions support for managing tasks, projects, cycles, and modules. Whether it supports additional objects is not stated.
Connect AI to Plane to manage projects, tasks, cycles, and modules.
Manage self-hosted Plane CE projects, work items, cycles, and modules with natural language.
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Manage projects, tasks, and team coordination with lightweight AI-friendly workflows.
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