jira-mcp-scoped
Provides tools for interacting with Jira, enabling AI agents to manage issues, projects, and boards scoped to a single Jira project.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@jira-mcp-scoped Show me all open issues in our project"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Jira MCP Server
An MCP (Model Context Protocol) server that lets AI assistants interact with Jira — scoped to a single project (JIRA_PROJECT_KEY) instead of everything your account can access.
Published on npm as jira-mcp-scoped — run it with npx -y jira-mcp-scoped, no clone or install required.
The server ships in two transports:
stdio (
mcpOverStdio.js) — the default for local clients (Claude Desktop, Claude Code, Copilot in VS Code). The client spawns the Node process directly.HTTP (
mcpOverHttp.js) — exposes the same tools over a Streamable HTTP endpoint at/mcp(default port3456). Useful if you want to start the MCP as a stand alone service (e.g in docker) and provide credentials on startup, making them invisible to the AI agent
Both transports share the same tool implementations in toolDefinitions.js and jiraRestService.js.
Logging
The server logs to stderr (so it never corrupts the stdio protocol on stdout). The verbosity is controlled by the JIRA_LOG_LEVEL env var:
Level | What it logs |
| Failures only — failed tool calls and request errors. |
| (default) Startup config and one line per tool call (name + arguments). Plus everything |
| Per-request Jira API traffic ( |
Long string arguments (e.g. description, comment) are collapsed to a <string: N chars> placeholder so the logs stay readable. The Jira API token is never logged. Each line is formatted as <ISO timestamp> [jira-mcp] <LEVEL> <message>.
Related MCP server: jira-cli-mcp
Prerequisites
Node.js 20+
A Jira account with API access
Installation
No installation needed — MCP clients can run the published package directly via npx (see the setup sections below).
For local development:
git clone https://github.com/MichalOsadowski/jira-mcp.git
cd jira-mcp
npm installTesting
npm testRuns the node:test suite (*.test.js) with the Jira HTTP layer stubbed — no network access or credentials required.
Environment variables
Variable | Required | Description |
| Yes | Your Jira instance URL, e.g. |
| Yes | The email address of your Jira account |
| Yes | Jira API token — generate one at id.atlassian.com/manage-profile/security/api-tokens |
| Yes | The project key, e.g. |
| No | Board ID used when placing issues in the current sprint |
| No | Directory to save downloaded attachments (default: |
| No | Log verbosity: |
Setup for Claude Code
Add the server to your Claude Code MCP configuration.
For a repository specific setup add .mcp.json in the root of your repository.
{
"mcpServers": {
"jira": {
"command": "npx",
"args": ["-y", "jira-mcp-scoped"],
"env": {
"JIRA_BASE_URL": "https://yourcompany.atlassian.net",
"JIRA_USER_EMAIL": "you@yourcompany.com",
"JIRA_API_TOKEN": "your-api-token",
"JIRA_PROJECT_KEY": "PROJ",
"JIRA_BOARD_ID": "1"
}
}
}
}Restart Claude Code after saving. You can verify the server is connected by running /mcp in the Claude Code CLI.
Setup for GitHub Copilot (VS Code)
Add the server to .vscode/mcp.json in the repository root (create it if it doesn't exist):
{
"servers": {
"jira": {
"type": "stdio",
"command": "npx",
"args": ["-y", "jira-mcp-scoped"],
"env": {
"JIRA_BASE_URL": "https://yourcompany.atlassian.net",
"JIRA_USER_EMAIL": "you@yourcompany.com",
"JIRA_API_TOKEN": "your-api-token",
"JIRA_PROJECT_KEY": "PROJ",
"JIRA_BOARD_ID": "1"
}
}
}
}Note: Do not commit
.vscode/mcp.jsonif it contains your API token. Add it to.gitignoreor use VS Code's user-level settings instead (~/.config/Code/User/settings.json) undergithub.copilot.mcp.servers.
Reload the VS Code window after saving. The Jira tools will appear in the Copilot agent tool list.
Running the HTTP transport
The HTTP variant is useful when the MCP client cannot spawn a local Node process — e.g. when running Claude inside a container, or pointing a remote agent at a long-lived server.
Run it directly from the cloned repository:
JIRA_BASE_URL=... JIRA_USER_EMAIL=... JIRA_API_TOKEN=... JIRA_PROJECT_KEY=PROJ JIRA_BOARD_ID=1 \
npm run start:httpThe server listens on http://localhost:3456/mcp (override with PORT) and exposes a /health endpoint. Environment variables are the same as the stdio transport.
Point an HTTP-capable MCP client at it:
{
"mcpServers": {
"jira": {
"type": "http",
"url": "http://localhost:3456/mcp"
}
}
}Available Tools
12 toolsjira_add_commentA
Add a comment to a Jira issue.
Inputs: id (required), comment (required).
jira_assign_issueA
Assign a Jira issue to a user, or unassign it. Use jira_search_assignable_users first to find the user's accountId.
Inputs: id (required), accountId.
jira_create_issueA
Create a new Jira issue (Task, Bug, Story, or Subtask). For subtasks, provide a parentId pointing to the parent Story or Bug — placement is ignored for subtasks.
Inputs: summary (required), labels, parentId, issueType, +2 more.
jira_download_attachmentA
Download a single Jira attachment by its ID. Use jira_fetch_issue first to get attachment IDs and filenames.
Inputs: filename (required), attachmentId (required).
jira_fetch_commentsA
Fetch all comments for a Jira issue. Returns a list of comments ordered by most recent first, or an empty list if no comments exist.
Inputs: id (required).
jira_fetch_issueA
Fetch a Jira issue by ID and return its key, summary, description, status, assignee, parent (with its summary and status), subtasks (each with key, summary, and status), labels, and attachments.
Inputs: id (required).
jira_get_settingsA
Return the current Jira MCP configuration (environment variables), with the API token redacted.
Inputs: no named parameters.
jira_list_my_sprint_issuesA
List all issues in the current active sprint assigned to the current user.
Inputs: no named parameters.
jira_list_sprint_issuesA
List all issues in the current active sprint for the project, regardless of assignee.
Inputs: label, status.
jira_search_assignable_usersA
Search for users that can be assigned to issues in the project.
Inputs: query (required).
jira_transition_issueA
Transition a Jira issue to a new status. Use jira_fetch_issue first to get the available transition IDs.
Inputs: id (required), transitionId (required).
jira_update_issueA
Update the summary, description, and/or labels of a Jira issue. Labels are modified incrementally: addLabels/removeLabels leave the issue's other labels untouched.
Inputs: id (required), summary, addLabels, description, +1 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 12 tools
Each tool has a clear, distinct purpose: fetching, creating, updating, transitioning, assigning, commenting, downloading attachments, listing sprints, and searching users. Even the two sprint-listing tools are clearly differentiated by assignee filter.
All tools use a consistent jira_verb_noun pattern in snake_case. Minor verb variations exist (fetch vs get vs list vs search) but each verb is appropriate for its action and the pattern remains predictable.
12 tools is a well-scoped number for a Jira MCP server. Each tool covers a distinct Jira operation without bloat, and the set feels comprehensive for the intended scope.
The tool set covers the core issue lifecycle (create, fetch, update, transition), assignment, comments, attachments (download only), sprint views, and user search. Missing issue search and attachment upload are notable gaps but not critical for a scoped server.
Maintenance
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