Atlassian (Jira & Confluence) vs Plane
Atlassian MCP and Plane MCP both let an agent manage project work, but they represent very different levels of scope and configurability. Atlassian's server covers Jira and Confluence together: an agent can create, edit, and transition Jira issues, add comments and worklogs, search with JQL, and on the Confluence side read spaces and pages, search with CQL, and create or update pages and comments. Plane's server is a broad open-source PM API: it exposes work items with full CRUD, cycles (sprints), modules, epics, milestones, workspace initiatives, an intake triage queue, custom work-item types and properties, time logs via create_work_log, states and labels, and wiki pages at both workspace and project level. Atlassian brings a paired issue-tracker-plus-wiki in one remote OAuth server; Plane brings a single PM platform with deeper structural customization and an open-source, self-hostable core. Here is a balanced look at how they differ.
How they compare
| Dimension | Atlassian (Jira & Confluence) | Plane |
|---|---|---|
| Product surface | Two products in one server: Jira for issue tracking (issues, transitions, worklogs, JQL) and Confluence for documentation (spaces, pages, CQL search, comments). | One unified PM platform: work items, cycles, modules, epics, milestones, initiatives, intake queue, states, labels, and wiki pages, all in a single server. |
| Hierarchy and planning layers | Jira projects contain issues with workflow transitions; portfolios and rollups sit above that but are not exposed in the current server tool set. | Work items nest under projects and can be grouped into cycles, modules, epics, milestones, and workspace-level initiatives, giving an agent multiple planning layers to work with. |
| Customization via the agent | An agent can read issue type metadata and field schemas to understand a project's structure, but cannot create or modify types and properties through the server. | An agent can create, update, and delete work-item types and custom properties, attach properties to types, and define their options, making schema changes from within a session. |
| Deployment model | Official remote server at https://mcp.atlassian.com/v1/mcp/authv2, secured by OAuth 2.1; no local process required; works only with Atlassian Cloud. | Official remote server at https://mcp.plane.so over Streamable HTTP with OAuth for Plane Cloud, plus a local stdio path via uvx for self-hosted Plane instances. |
| Best-fit task | Letting an agent manage Jira issues and Confluence documentation together: file and transition issues, log time, and keep wiki pages current using JQL and CQL searches. | Letting an agent run a full PM workflow: create and track work items across cycles and modules, triage the intake queue, manage custom types, and log time, all within one open-source platform. |
Verdict
Choose by your toolchain and how much structural control you need. Reach for Atlassian MCP when your team lives in Jira and Confluence and you want an agent that can manage issues, run JQL searches, transition workflow states, log time, and keep Confluence pages current without leaving the agent. Reach for Plane MCP when you want a single open-source PM platform where an agent can work across cycles, modules, epics, milestones, and initiatives, define custom work-item types and properties, triage the intake queue, and run against a self-hosted instance. In short: Atlassian for the established Jira-plus-Confluence pair; Plane for deeper structural customization and an open, self-hostable PM stack.
FAQ
- Can either server manage documentation or wiki content?
- Both can. Atlassian's server works with Confluence pages and comments using CQL search, getConfluencePage, createConfluencePage, and updateConfluencePage. Plane's server manages wiki pages at both the workspace and project level with retrieve_workspace_page, create_project_page, and attach_page_to_work_item, though Plane's wiki is a lighter feature than Confluence.
- Which supports self-hosted deployments?
- Plane does, through its local stdio path (uvx with a PLANE_API_KEY and PLANE_WORKSPACE_SLUG), which can point at a self-hosted Plane instance via PLANE_BASE_URL. Atlassian's server is cloud-only; the remote endpoint requires an Atlassian Cloud account.