mcp server
jira-mini-mcp
Lightweight Jira Cloud MCP server for agents: read everything, write almost nothing - flip READ_ONLY_MODE to disable writes entirely.
Set up
Runs on your computer. Pick your agent and operating system.
Before you start
- uv (`curl -LsSf https://astral.sh/uv/install.sh | sh`)
{
"mcpServers": {
"jira-mini-mcp": {
"command": "uvx",
"args": [
"jira-mini-mcp"
],
"env": {
"JIRA_BASE_URL": "<your JIRA_BASE_URL>"
}
}
}
}same format Cursor, GitHub Copilot CLI, Junie, JetBrains AI Assistant, Augment (Auggie CLI), Factory Droid, Kiro, Devin CLI +12
Values in angle brackets are placeholders. Restart Claude Desktop after editing its config.Claude Desktop docs
README
synced Oct 14, 2026jira-mini-mcp
A Jira Cloud MCP server for coding agents: 6 read tools, 9 with writes enabled.
One job. One tool. Done right.
General-purpose Atlassian MCP servers expose dozens to hundreds of tools. Every one costs context before the agent does any useful work, and every near-duplicate makes the agent's choice less certain. This server gives a coding agent the Jira context it needs for a ticket, the three ways to answer back, and nothing else.
- 6-9 tools, not 98 - every one earns its place in context, and the descriptions are tested so an agent picks the right one; see why so few and how it's compared with the alternatives.
- A write surface of exactly three tools - comment, transition, update.
Set
READ_ONLY_MODE=trueand they never register, not even as a disabled entry the agent can see. - Compact, predictable output - stable JSON schemas, Markdown for rich
text, no
nullspam, noselfURLs, emails, or avatars; see what the tools return. - Roughly 40% less output on the wire - each result is sent once, as JSON
in
content, rather than again asstructuredContent; setSTRUCTURED_OUTPUT=trueif your host needs the typed copy. See Cheaper output. - Nothing is silently cut short - exact totals on comments and changelog,
cursor paging on search, and
limit=0to fetch the rest. A failed request is an error, never an empty list. - Errors an agent can act on - a wrong transition name lists every valid transition and where it leads, so there is no separate discovery tool. Errors never contain your Jira URL, credentials, or raw response bodies.
- API token or OAuth - one minute with an API token, or a browser login through your own OAuth 2.0 app with automatic refresh; see Configure.
- On PyPI -
uvx jira-mini-mcporpip install jira-mini-mcp, no repo clone or git URL required.
| Tool | Access | Purpose |
|---|---|---|
search_issues | 🟢 read | Find issues with JQL |
get_issue | 🟢 read | One issue's core state and fields |
get_comments | 🟢 read | Recent or historical discussion, paginated |
get_attachments | 🟢 read | Attachment metadata |
download_attachment | 🟢 read | Fetch one attachment |
get_changelog | 🟢 read | Field-change history, paginated |
add_comment | 🔴 write | Post one Markdown comment |
transition_issue | 🔴 write | Move an issue through its workflow |
update_issue | 🔴 write | Set issue fields |
[!TIP] Set
READ_ONLY_MODE=trueand only the six 🟢 read tools register - the three 🔴 write tools are withheld entirely, see Configure.
- Install
- Configure
- Writing to Jira
- Why so few tools
- Compared with the alternatives
- Contributing and security
More detail lives in docs/: configuration,
OAuth setup, and what the tools return, with
examples.
Install
uvx jira-mini-mcp
or
pip install jira-mini-mcp
Pin a version when you want a fixed surface: uvx jira-mini-mcp==1.1.0.
Running an unreleased commit straight from GitHub also works:
uvx --from git+https://github.com/proprock/jira-mini-mcp jira-mini-mcp
Requires Python 3.12+ and uv (or pip).
Configure
With an API token, three values:
| Variable | Meaning |
|---|---|
JIRA_BASE_URL | Your site, e.g. https://example.atlassian.net |
JIRA_EMAIL | The email your API token belongs to |
JIRA_API_TOKEN | A Jira Cloud API token |
Add READ_ONLY_MODE=true to withhold the write tools. Every setting, including
STRUCTURED_OUTPUT, is in configuration.md.
[!NOTE] Prefer OAuth to a stored token? Set
JIRA_AUTH_METHOD=oauth, register a free OAuth 2.0 (3LO) app, and runjira-mini-mcp loginonce to authorize in your browser. The server then refreshes its token by itself. Step by step: oauth.md.
Configuration is validated at startup, and an error names the missing setting without printing its value or your Jira URL. Keep the token in the host's own configuration and never commit it. The server acts with your account's permissions: an account that cannot transition an issue still cannot, whatever this server exposes.
claude mcp add --env JIRA_BASE_URL=https://example.atlassian.net --env JIRA_EMAIL=you@example.com --env JIRA_API_TOKEN=your-token --transport stdio jira-mini -- uvx jira-mini-mcp
Put at least one other option between the last --env and the server name, as
above - the CLI otherwise reads the name as another KEY=value pair.
In claude_desktop_config.json:
{
"mcpServers": {
"jira-mini": {
"command": "uvx",
"args": ["jira-mini-mcp"],
"env": {
"JIRA_BASE_URL": "https://example.atlassian.net",
"JIRA_EMAIL": "you@example.com",
"JIRA_API_TOKEN": "your-token"
}
}
}
}
codex mcp add jira-mini --env JIRA_BASE_URL=https://example.atlassian.net --env JIRA_EMAIL=you@example.com --env JIRA_API_TOKEN=your-token -- uvx jira-mini-mcp
Command uvx, argument jira-mini-mcp, and the three environment variables.
Add READ_ONLY_MODE=true to withhold the write tools. OAuth host examples are in
oauth.md.
Writing to Jira
Three tools, chosen so an agent can close the loop on a ticket it worked:
add_comment(issue_key, body)
transition_issue(issue_key, to, comment=None)
update_issue(issue_key, fields)
Issue creation, links, attachment upload, worklogs, and deletion are out of scope. Creation needs per-project, per-type required-field discovery and is a feature in its own right; a link, or a request for one, fits in a comment.
Three things are worth knowing before an agent writes:
transition_issuetakes a name, not an id. A transition name or the name of the status to reach, matched ignoring case. They differ in real workflows - a transition calledIn Progresscan produce a status calledIn Development, and two differently named transitions can reach one status - so prefer the transition name. When nothing matches, the error lists every available transition and where it leads. To see the options first, askget_issue(fields=["transitions"]). That is why there is no separateget_transitionstool.update_issuereplaceslabelsandcomponentswholesale. There is no add or remove verb, so read the issue first if you mean to add one value. It takes the same valuesget_issuereturns:assigneeas an account id, an email, a display name, or the literal"me",descriptionas Markdown,customfield_*as raw Jira JSON. It refusesstatusandcomment, naming the tool that does each.- Markdown is converted, not guessed at. Headings, lists, fenced code, inline marks, and links become Jira rich text; anything outside that set stays literal rather than being reinterpreted.
Each write tool is annotated readOnlyHint=false with honest destructiveHint
and idempotentHint values, which is what READ_ONLY_MODE filters on.
Why so few tools
A tool definition is a name, a description, an input schema, and often an output contract. Depending on the client, all of it enters the model's context before any work happens. A large toolset therefore spends context on capabilities the current task will never use, and raises the chance of picking the wrong tool, confusing similar ones, or passing bad parameters.
Six to nine compact schemas stay affordable for a whole session, leaving the context budget for source code, issue descriptions, stack traces, and reasoning. The design follows Anthropic's guidance for agent systems: keep toolsets small, role-scoped, and clearly differentiated.
This is a claim, so the repository tests it. The offline half runs with the suite
and checks that every tool is described substantially, that no two descriptions
are near-duplicates, and that every parameter whose behavior cannot be guessed
from its name is explained in prose. The other half puts the real tool
definitions in front of a real model and scores which one it picks - see
evals/README.md.
The same principle shapes the responses. get_issue does not dump hundreds of
comments, the full changelog, attachment contents, or every custom field; large
resources are fetched only when asked for.
Compared with the alternatives
| jira-mini-mcp | Official Atlassian MCP | sooperset/mcp-atlassian | |
|---|---|---|---|
| Scope | Jira only | Jira, Confluence, JSM, Bitbucket, Compass, Loom, and more | Jira and Confluence |
| Deployments | Cloud | Cloud | Cloud, Server/Data Center |
| Hosting | Local, stdio | Remote, Atlassian-hosted | Local (stdio, Docker) or HTTP |
| Auth | API token or OAuth 2.0 (own app) | OAuth 2.1 or API token | API token, PAT, or OAuth 2.0 (own app) |
| Tools | 6-9, always visible | A small default set with on-demand discovery | 98 |
| Writes | 3 tools | Yes, admin-gated by category | Yes |
| License | MIT | Apache 2.0 | MIT |
The official server is the better choice when you need breadth across Atlassian products, OAuth without registering an app of your own, Jira Service Management, or organization-level controls such as permission groups, IP allowlisting, and audit logs. It is Atlassian's own product, it tracks their APIs, and nothing here competes with that.
mcp-atlassian is the better choice when you need Confluence alongside Jira,
Server/Data Center, or simply broader Jira coverage than six to nine tools.
This server is the better choice for one narrow case: a coding agent working a Jira ticket, where the context every tool definition costs is worth more than the coverage it buys.
Contributing and security
Setup, checks, the test and eval commands, the branch and commit conventions, and the release model are in CONTRIBUTING.md. Report vulnerabilities privately as described in SECURITY.md. Changes that affect someone running the server are recorded in CHANGELOG.md.
License
MIT. Not an official Atlassian product.