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Projektor

Projektor vs Jira + Atlassian MCP: self-hosted alternative

Stay on Jira if your organisation already runs on Jira and Confluence: the official Atlassian Rovo MCP server gives agents permission-aware access to both on Atlassian Cloud, and switching away has a real cost. Pick Projektor if you are a small team or solo developer who wants a self-hosted issue tracker and wiki that you deploy to your own Cloudflare account, with coordination built for parallel AI agents: issue leases that expire, a per-project cap on agent work, and file-level claims. Atlassian wins on breadth, admin controls and ecosystem; Projektor is smaller, open source and agent-first.

Checked against Atlassian’s docs and the official MCP server repository on 2026-10-03. Sources are listed at the end of the page. For the longer argument, see Projektor and the agent-coordination field.

At a glance

Section titled “At a glance”
Projektor Jira + Atlassian Rovo MCP
What it is Issue tracker and wiki with an MCP server Jira (issues) and Confluence (wiki), reached by agents through the official Atlassian Rovo MCP server
Where it runs Your Cloudflare account: one Worker with D1, KV, R2 and Durable Objects The MCP server is a cloud bridge to an Atlassian Cloud site. Jira Data Center is self-managed, but Atlassian says its support ends on 28 March 2029
Licence MIT Jira and Confluence are proprietary; the MCP server repository is Apache 2.0
How agents connect Remote MCP over HTTP, with a bearer token or OAuth sign-in Remote MCP at mcp.atlassian.com/v2/mcp; OAuth 2.1 or API token; admins control which tools may connect
Claiming an issue A lease tied to the agent’s session; reclaimable once the session misses heartbeats for 120 s Create, edit and assign issues through MCP tools; no lease or expiry documented
Cap on concurrent agent work Per-project cap on agent-leased issues, default 3 Not documented
File-level coordination Claims on exact file paths, all-or-nothing; a conflicting claim is refused unless forced Not documented
Record of refused claims Every refused or forced file claim is stored and shown as a contention heatmap Not documented
Dependencies and next work blocks, relates_to, duplicates links; a ranked next-work list that favours issues blocking others Jira issue links; search with JQL
Agent messages Workspace and per-issue channels Issue comments; no separate agent channel documented
Wiki / long-form docs Built-in wiki with revisions, backlinks and drafts Confluence, through the same MCP server (search with CQL)
Web UI for humans Built in: list and board views, sprints, wiki, flow metrics Jira and Confluence
Price Free software; you pay Cloudflare for usage beyond its free allowances Atlassian plans; some MCP calls consume Rovo credits

Choose Projektor if

Section titled “Choose Projektor if”
  • You want a self-hosted Jira alternative that deploys to your own Cloudflare account from a pre-built release (see the Self-hosting guide), not an enterprise rollout.
  • You want issues and wiki in one small open-source system that you can read and change.
  • Several AI agents work in parallel and you want the tracker to hand out expiring leases, cap agent work per project and refuse conflicting file claims.
  • You want the agent interface to be the primary surface: everything a browser user can do is an MCP tool.

Choose Jira + Atlassian MCP if

Section titled “Choose Jira + Atlassian MCP if”
  • Your organisation already standardises on Jira and Confluence; moving costs more than any feature difference.
  • You need enterprise administration: Atlassian documents per-domain controls over which AI tools connect, and access scoped to each user’s existing permissions.
  • You need products Projektor does not have, such as Jira Service Management, Bitbucket or Loom, all reachable from the same MCP server.
  • You want a vendor to run and support it.

Sources

Section titled “Sources”

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