Their Jira isn't in the cloud. It's in Claude anyway.
A development team runs Jira on its own servers. They wanted to work it from Claude, but Claude's Jira connector targets Jira Cloud. Instead of asking every developer to run a Jira MCP server on their laptop, a Nucleus developer built one hosted server for everyone. Each person connects as themselves, and the server now works with any self-hosted Jira.
The connector stopped at the cloud
Plenty of engineering teams still run Jira Server or Data Center on their own infrastructure, for compliance, cost or history. The off-the-shelf Jira connector for Claude speaks to Jira Cloud. That left this team three options.
Go without
- Keep copying ticket text into Claude by hand
- Claude can read what you paste, but can never update a ticket
- The tracker stays the one system the assistant can't touch
Everyone runs a local server
- Every developer installs, configures and updates their own copy
- Tokens sit in config files on every laptop
- Versions drift, and whoever doesn't want to set it up is left out
One hosted server, in Nucleus
- Built once and installed in Nucleus, like any other tool
- Each person connects with their own Jira token, kept in the vault
- Fixes and new tools reach everyone at once
From first commit to the whole team in under two weeks
The server follows the Nucleus template, so the hard parts were already done: transport, authentication, identity, metering, rate limits and audit. The developer's job was Jira itself. It's a dependency-light Go service that calls Jira's REST API directly.
Running end to end against the team's real Jira, through Nucleus, on the first day.
The Jira address moved from server configuration to each install. That one change made the server multi-tenant.
More tools and tests, and searching by assignee: the shape the team's everyday questions needed.
Sprints and boards, issue links and labels, and full-length descriptions. Each one was added as the team used the server and found what was missing.
Issues 9 tools
Sprints & boards 6 tools
Everyone connects as themselves
A Jira personal access token acts with the permissions of the person who created it. So each developer gets their own install holding their own token, and the server is built so it can't work any other way.
What each person's install holds
Stored encrypted in the Nucleus vault, never on a laptop.
- Their own Jira personal access token
- The address of their Jira, set per install
- The token is passed to Jira only at the moment of a tool call
- Revoking the install, or the token, cuts access immediately
What that guarantees
Jira's own rules, applied to the real person.
- Claude sees only the projects and issues that person can see
- Tickets, comments and transitions show that person as the author
- Jira's audit history stays true, with no shared "bot" user
- Nucleus adds its own record of every call, by person
Built for one team, ready for any self-hosted Jira
Because the Jira address belongs to the install rather than the deployment, the server carries no customer-specific configuration. Another team or another company with Jira Server or Data Center connects the same way, with no new deployment and no code change.
What a new team needs
Two fields, filled in once by each person.
- Their Jira's address
- A personal access token from their own Jira profile
- Nothing to install, run or update on any machine
- The same 15 tools from Claude, Dispatch or any MCP client
Shaped by how an assistant actually uses Jira
A wrapper around the API would have worked. What made it good were the details found by watching Claude use it on a real instance.
Your projects, not every project
One real account could browse 288 projects and had touched 4. Listing projects defaults to the ones you've actually opened, and you can still search all of them by name.
Descriptions come back complete
A spec or a stack trace isn't cut off at some arbitrary length. A caller can page through a long description deliberately, and the pages join back into the original text.
Errors that say what's wrong
Jira requires issue types to match exactly and reports a mismatch as a missing field. The tool lists each project's real issue types first, so tickets get filed correctly the first time.
One server, built in under two weeks, used by everyone as themselves.
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