jira-mcp
Jira MCP Server
Ein Model Context Protocol (MCP) Server, der Tools für die Interaktion mit Jira bereitstellt. Ermöglicht es Cursor und anderen MCP-Clients, Tickets abzurufen, verknüpfte Tickets zu verwalten und den Ticketstatus zu aktualisieren.
Schnelleinstieg
1. Abhängigkeiten installieren
# Install uv (if not already installed)
curl -LsSf https://astral.sh/uv/install.sh | sh
# Install project dependencies
uv sync2. Jira-Anmeldedaten konfigurieren
Empfohlen: Personal Access Token (PAT)
Melden Sie sich bei Jira an: https://jira.telekom.de
Gehen Sie zu Ihrem Profil > Personal Access Tokens
Klicken Sie auf "Create token"
Geben Sie ihm einen Namen (z. B. "Cursor MCP") und legen Sie ein Ablaufdatum fest
Wichtig: Stellen Sie sicher, dass das Token über "Read"- oder "Browse Projects"-Berechtigungen verfügt
Kopieren Sie das Token sofort (Sie werden es nicht erneut sehen)
Erstellen Sie eine .env-Datei:
cp .env.example .envBearbeiten Sie die .env mit Ihren Anmeldedaten:
JIRA_URL=https://jira.telekom.de
JIRA_USERNAME=your.username@telekom.de
JIRA_API_TOKEN=your_personal_access_token_here
JIRA_AUTH_TYPE=bearerHinweis: Kantega SSO API-Token können IP-Beschränkungen haben oder vom Administrator konfigurierte Berechtigungen erfordern. Personal Access Tokens werden für die meisten Benutzer empfohlen.
3. In Cursor konfigurieren
Öffnen Sie Cursor
Gehen Sie zu Settings > Tools and MCP
Fügen Sie diese Konfiguration hinzu:
{
"mcpServers": {
"jira": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/jira-mcp",
"run",
"-m",
"src"
]
}
}
}Wichtig: Ersetzen Sie den Pfad und die Anmeldedaten durch Ihre tatsächlichen Werte!
Starten Sie Cursor vollständig neu
4. Ausprobieren
Versuchen Sie im Cursor-Chat:
"Get details for Jira ticket PROJ-123"
"Show me all linked tickets for PROJ-456"
"Update PROJ-789 status to In Progress"
Related MCP server: JIRA MCP Server
Funktionen
Verfügbare Tools
Tool | Beschreibung | Beispiel |
| Vollständige Ticketdetails abrufen | "Get PROJ-123" |
| Verknüpfte Tickets & Unteraufgaben abrufen | "Show linked tickets for PROJ-123" |
| Ticketstatus aktualisieren | "Move PROJ-123 to In Progress" |
Authentifizierungsunterstützung
Bearer Token: Personal Access Tokens (PAT) - Empfohlen
Basic Auth: Benutzername + API-Token (Atlassian Cloud)
Cookie Auth: Sitzungsbasierte Authentifizierung (Fallback-Option)
Tool-Details
get_ticket
Ruft vollständige Ticketinformationen ab.
Parameter:
ticket_id(string, erforderlich): Ticket-ID oder Schlüssel (z. B. "PROJ-123")
Rückgabe:
{
"key": "PROJ-123",
"summary": "Ticket summary",
"description": "Detailed description",
"status": "In Progress",
"issue_type": "Story",
"priority": "High",
"assignee": "John Doe",
"reporter": "Jane Smith",
"created": "2024-01-15T10:30:00.000+0000",
"updated": "2024-01-20T14:45:00.000+0000",
"comments_count": 3,
"comments": [...],
"custom_fields": {...}
}get_linked_tickets
Ruft alle verknüpften Tickets und Unteraufgaben ab.
Parameter:
ticket_id(string, erforderlich): Ticket-ID oder Schlüssel
Rückgabe:
{
"ticket": "PROJ-123",
"linked_tickets": [
{
"link_type": "Blocks",
"direction": "blocks",
"key": "PROJ-124",
"summary": "Related ticket",
"status": "To Do"
}
],
"linked_tickets_count": 1,
"subtasks": [...],
"subtasks_count": 2
}update_ticket_status
Aktualisiert den Ticketstatus mit Workflow-Validierung.
Parameter:
ticket_id(string, erforderlich): Ticket-ID oder Schlüsselstatus(string, erforderlich): Zielstatus (z. B. "In Progress", "Done")
Rückgabe:
Successfully updated ticket PROJ-123 status from 'To Do' to 'In Progress'Hinweis: Das Tool validiert Übergänge. Wenn diese ungültig sind, werden die verfügbaren Übergänge zurückgegeben.
Testen
Tests ausführen
# Run all tests
.venv/bin/pytest tests/ -v
# Run with coverage
.venv/bin/pytest tests/ --cov=src -v
# Run specific test file
.venv/bin/pytest tests/test_integration/test_real_tickets.py -vManuelles Testen
Testen Sie den Server direkt:
uv run --env-file .env -m srcDrücken Sie Strg+C zum Beenden.
Fehlerbehebung
Authentifizierungsfehler
Symptome: "401 Unauthorized" oder "403 Forbidden"
Lösungen:
Am häufigsten: Personal Access Token ist abgelaufen - generieren Sie ein neues
Überprüfen Sie, ob Ihr PAT über "Read"- oder "Browse Projects"-Berechtigungen verfügt
Stellen Sie sicher, dass Ihr Benutzername mit Ihrer Jira-Konto-E-Mail übereinstimmt
Stellen Sie sicher, dass
JIRA_URLhttps://enthältBestätigen Sie
JIRA_AUTH_TYPE=bearerfür Personal Access Tokens
Ticket nicht gefunden
Symptome: "404 Not Found"
Lösungen:
Überprüfen Sie, ob der Ticketschlüssel korrekt ist (z. B. "PROJ-123")
Prüfen Sie, ob Sie die Berechtigung haben, das Ticket anzuzeigen
Stellen Sie sicher, dass Sie die richtige Jira-Instanz verwenden
Server erscheint nicht in Cursor
Lösungen:
Überprüfen Sie den absoluten Pfad in Ihren MCP-Einstellungen
Prüfen Sie, ob Python 3.12+ installiert ist:
python3 --versionStarten Sie Cursor vollständig neu (beenden und erneut öffnen)
Überprüfen Sie die Entwicklerkonsole von Cursor auf Fehler
Ticket kann nicht überführt werden
Symptome: "Invalid status transition"
Lösungen:
Die Fehlermeldung listet verfügbare Übergänge auf
Statusnamen müssen exakt übereinstimmen (Groß-/Kleinschreibung wird ignoriert)
Überprüfen Sie Ihre Jira-Workflow-Berechtigungen
Überprüfen Sie, ob der Übergang für Ihren Workflow gültig ist
Architektur
Dieses Projekt folgt SOLID-Prinzipien und sauberer Architektur:
src/
├── __init__.py
├── __main__.py # Entry point
├── server.py # MCP server setup
├── config/ # Configuration management
├── client/ # Jira API client
├── tools/ # 3 MCP tools
├── models/ # Domain models
├── mappers/ # Data transformation
└── utils/ # Error handling, JSON utilsKernprinzipien:
SOLID: Single Responsibility, Dependency Inversion
DRY: Keine Duplizierung, wiederverwendbare Komponenten
Typsicherheit: Durchgehende Typ-Hinweise
Testbar: Saubere Trennung der Zuständigkeiten
Siehe ARCHITECTURE.md für detaillierte technische Dokumentation.
Entwicklung
Projektstruktur
jira-mcp/
├── src/ # Source code (22 Python files)
├── tests/ # Test suite
├── pyproject.toml # Project config (includes pytest config)
├── .env.example # Config template
├── .gitignore
├── README.md # This file
└── ARCHITECTURE.md # Technical docsAbhängigkeiten hinzufügen
uv add package-nameAusführen mit anderer Konfiguration
uv run --env-file .env.production -m srcCodequalität
Linting-Fehler: 0
Typabdeckung: 100%
Testabdeckung: Integrationstests für alle 3 Tools
Architektur: SOLID + DRY konform
Anforderungen
Python 3.12+
Jira-Konto mit API-Zugriff
Jira API-Token (Kantega SSO Enterprise oder Atlassian Cloud)
Lizenz
Dieses Projekt wird "wie besehen" für die Verwendung mit Cursor und Jira bereitgestellt.
Erstellt mit Best Practices gemäß SOLID- und DRY-Prinzipien 🚀
Available Tools
3 toolsget_linked_ticketsA
Fetch all linked tickets and subtasks for a given Jira ticket. Returns issue links (blocks, is blocked by, relates to, etc.) and subtasks with their summaries and statuses.
| Name | Required | Description | Default |
|---|---|---|---|
| ticket_id | Yes | The Jira ticket ID or key (e.g., 'PROJ-123') |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It discloses what is returned (issue links and subtasks with summaries and statuses) but lacks details on authorization, pagination, or limits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, front-loaded with purpose followed by output details. No redundant information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given one required parameter and no output schema, the description covers purpose, parameter, and return structure. It lacks error handling or clarification on depth of links, but is relatively complete for a simple fetch tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Input schema coverage is 100% with a description of ticket_id. The description adds an example format ('e.g., 'PROJ-123'') but does not provide additional semantics beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Fetch' and the resource 'all linked tickets and subtasks for a given Jira ticket', distinguishing it from siblings like get_ticket which returns a single ticket.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage when needing linked tickets or subtasks, but does not explicitly state when to use this tool versus alternatives like get_ticket or update_ticket_status.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_ticketA
Fetch full details of a Jira ticket by its ID or key. Returns comprehensive ticket information including summary, description, status, issue type, priority, assignee, reporter, comments, and custom fields.
| Name | Required | Description | Default |
|---|---|---|---|
| ticket_id | Yes | The Jira ticket ID or key (e.g., 'PROJ-123') |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided. Description discloses that the tool fetches (read operation) and lists returned fields, but does not mention rate limits, required permissions, error cases, or side effects. It adds value over schema by specifying return contents but lacks full behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences: first states action and input, second lists outputs. No extraneous words, front-loaded, and efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter tool with no output schema, the description provides a good overview of return content (summary, description, status, etc.). Minor gap: custom fields are vague and exact structure not detailed, but sufficient for basic understanding.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with a description for ticket_id. The description reiterates 'by its ID or key' without adding new meaning beyond the schema's example. Hence, baseline score of 3.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it fetches full details of a Jira ticket by ID or key and lists returned information (summary, status, etc.). It distinguishes from sibling tools ('get_linked_tickets', 'update_ticket_status') implicitly by resource and verb, but does not explicitly contrast them.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use (when you need ticket details) but does not explicitly state when not to use or suggest alternatives like get_linked_tickets for linked issues.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
update_ticket_statusA
Update the status of a Jira ticket by transitioning it to a new status. Validates that the transition is valid for the ticket's current workflow. Common statuses include: 'To Do', 'In Progress', 'In Review', 'Done'.
| Name | Required | Description | Default |
|---|---|---|---|
| ticket_id | Yes | The Jira ticket ID or key (e.g., 'PROJ-123') | |
| status | Yes | The target status name (e.g., 'In Progress', 'Done') |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden. It mentions validation of transitions, but does not disclose side effects (e.g., notifications), permissions requirements, idempotency, or error handling behavior. This is adequate but not thorough.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the action, and contains no redundant information. Every sentence contributes meaningful context.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (2 params, no nested objects), the description is mostly complete. However, it omits the return value or success/error behavior, which would be helpful since there is no output schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, earning a baseline of 3. The description adds value by listing common statuses ('To Do', 'In Progress', 'In Review', 'Done'), which provides context beyond the schema's generic description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Update the status of a Jira ticket by transitioning it to a new status') and differentiates from sibling read-only tools like 'get_linked_tickets' and 'get_ticket'. It also provides examples of common statuses, making the purpose unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage by mentioning validation of transitions, but does not explicitly state when to use or avoid this tool, nor does it provide alternatives beyond the obvious sibling tools. It lacks guidance on prerequisites or edge cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
3 tool updates
v0.1.0- First observed
get_linked_tickets - First observed
get_ticket - First observed
update_ticket_status
TDQS
Scored across 3 tools
Each tool targets a distinct operation: retrieving a ticket, fetching linked tickets, and updating status. No overlap in functionality.
All tool names follow a consistent 'verb_noun' pattern in snake_case (get_ticket, get_linked_tickets, update_ticket_status), making them predictable.
Three tools is on the lower end of the ideal range but still reasonable for a focused Jira server. Each tool serves a clear purpose without feeling sparse.
Missing essential CRUD operations such as create_ticket, search_tickets, or add_comment. Agents cannot create new tickets or perform most lifecycle actions.
Maintenance
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