Migrated from design-system-swarm with fresh git history.
Old project history preserved in /home/overbits/apps/design-system-swarm
Core components:
- MCP Server (Python FastAPI with mcp 1.23.1)
- Claude Plugin (agents, commands, skills, strategies, hooks, core)
- DSS Backend (dss-mvp1 - token translation, Figma sync)
- Admin UI (Node.js/React)
- Server (Node.js/Express)
- Storybook integration (dss-mvp1/.storybook)
Self-contained configuration:
- All paths relative or use DSS_BASE_PATH=/home/overbits/dss
- PYTHONPATH configured for dss-mvp1 and dss-claude-plugin
- .env file with all configuration
- Claude plugin uses ${CLAUDE_PLUGIN_ROOT} for portability
Migration completed: $(date)
🤖 Clean migration with full functionality preserved
216 lines
6.4 KiB
Python
216 lines
6.4 KiB
Python
"""
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Jira Integration for MCP
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Provides Jira API tools for issue tracking and project management.
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"""
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from typing import Dict, Any, List, Optional
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from atlassian import Jira
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from mcp import types
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from .base import BaseIntegration
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# Jira MCP Tool Definitions
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JIRA_TOOLS = [
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types.Tool(
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name="jira_create_issue",
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description="Create a new Jira issue",
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inputSchema={
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"type": "object",
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"properties": {
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"project_key": {
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"type": "string",
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"description": "Jira project key (e.g., 'DSS')"
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},
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"summary": {
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"type": "string",
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"description": "Issue summary/title"
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},
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"description": {
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"type": "string",
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"description": "Issue description"
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},
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"issue_type": {
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"type": "string",
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"description": "Issue type (Story, Task, Bug, etc.)",
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"default": "Task"
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}
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},
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"required": ["project_key", "summary"]
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}
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),
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types.Tool(
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name="jira_get_issue",
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description="Get Jira issue details by key",
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inputSchema={
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"type": "object",
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"properties": {
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"issue_key": {
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"type": "string",
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"description": "Issue key (e.g., 'DSS-123')"
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}
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},
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"required": ["issue_key"]
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}
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),
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types.Tool(
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name="jira_search_issues",
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description="Search Jira issues using JQL",
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inputSchema={
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"type": "object",
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"properties": {
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"jql": {
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"type": "string",
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"description": "JQL query (e.g., 'project=DSS AND status=Open')"
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},
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"max_results": {
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"type": "integer",
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"description": "Maximum number of results",
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"default": 50
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}
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},
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"required": ["jql"]
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}
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),
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types.Tool(
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name="jira_update_issue",
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description="Update a Jira issue",
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inputSchema={
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"type": "object",
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"properties": {
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"issue_key": {
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"type": "string",
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"description": "Issue key to update"
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},
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"fields": {
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"type": "object",
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"description": "Fields to update (summary, description, status, etc.)"
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}
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},
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"required": ["issue_key", "fields"]
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}
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),
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types.Tool(
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name="jira_add_comment",
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description="Add a comment to a Jira issue",
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inputSchema={
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"type": "object",
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"properties": {
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"issue_key": {
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"type": "string",
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"description": "Issue key"
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},
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"comment": {
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"type": "string",
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"description": "Comment text"
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}
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},
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"required": ["issue_key", "comment"]
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}
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)
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]
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class JiraIntegration(BaseIntegration):
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"""Jira API integration with circuit breaker"""
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def __init__(self, config: Dict[str, Any]):
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"""
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Initialize Jira integration.
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Args:
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config: Must contain 'url', 'username', 'api_token'
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"""
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super().__init__("jira", config)
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url = config.get("url")
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username = config.get("username")
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api_token = config.get("api_token")
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if not all([url, username, api_token]):
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raise ValueError("Jira configuration incomplete: url, username, api_token required")
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self.jira = Jira(
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url=url,
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username=username,
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password=api_token,
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cloud=True
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)
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async def create_issue(
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self,
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project_key: str,
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summary: str,
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description: str = "",
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issue_type: str = "Task"
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) -> Dict[str, Any]:
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"""Create a new Jira issue"""
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def _create():
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fields = {
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"project": {"key": project_key},
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"summary": summary,
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"description": description,
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"issuetype": {"name": issue_type}
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}
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return self.jira.create_issue(fields)
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return await self.call_api(_create)
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async def get_issue(self, issue_key: str) -> Dict[str, Any]:
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"""Get issue details"""
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def _get():
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return self.jira.get_issue(issue_key)
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return await self.call_api(_get)
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async def search_issues(self, jql: str, max_results: int = 50) -> Dict[str, Any]:
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"""Search issues with JQL"""
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def _search():
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return self.jira.jql(jql, limit=max_results)
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return await self.call_api(_search)
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async def update_issue(self, issue_key: str, fields: Dict[str, Any]) -> Dict[str, Any]:
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"""Update issue fields"""
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def _update():
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self.jira.update_issue_field(issue_key, fields)
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return {"status": "updated", "issue_key": issue_key}
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return await self.call_api(_update)
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async def add_comment(self, issue_key: str, comment: str) -> Dict[str, Any]:
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"""Add comment to issue"""
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def _comment():
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return self.jira.issue_add_comment(issue_key, comment)
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return await self.call_api(_comment)
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class JiraTools:
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"""MCP tool executor for Jira integration"""
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def __init__(self, config: Dict[str, Any]):
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self.jira = JiraIntegration(config)
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async def execute_tool(self, tool_name: str, arguments: Dict[str, Any]) -> Dict[str, Any]:
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"""Execute Jira tool"""
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handlers = {
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"jira_create_issue": self.jira.create_issue,
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"jira_get_issue": self.jira.get_issue,
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"jira_search_issues": self.jira.search_issues,
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"jira_update_issue": self.jira.update_issue,
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"jira_add_comment": self.jira.add_comment
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}
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handler = handlers.get(tool_name)
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if not handler:
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return {"error": f"Unknown Jira tool: {tool_name}"}
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try:
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clean_args = {k: v for k, v in arguments.items() if not k.startswith("_")}
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result = await handler(**clean_args)
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return result
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except Exception as e:
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return {"error": str(e)}
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