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get_issue_by_id

Retrieve detailed information about a Mantis Bug Tracker issue by specifying its unique ID. Integrates with the Mantis MCP Server for efficient bug tracking and data analysis.

Instructions

根據 ID 獲取 Mantis 問題詳情

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
issueIdYes問題 ID

Implementation Reference

  • Core handler function that fetches the specific issue by ID from the Mantis API endpoint `/issues/${issueId}`, with logging and caching via cachedRequest.
    async getIssueById(issueId: number): Promise<Issue> { log.info('獲取問題詳情', { issueId }); const cacheKey = `issue-${issueId}`; return this.cachedRequest<Issue>(cacheKey, () => { return this.api.get(`/issues/${issueId}`); }); }
  • src/server.ts:157-169 (registration)
    MCP tool registration using McpServer.tool, defining the tool name, description, input schema (issueId), and handler that wraps mantisApi.getIssueById with configuration check and JSON serialization.
    server.tool( "get_issue_by_id", "根據 ID 獲取 Mantis 問題詳情", { issueId: z.number().describe("問題 ID"), }, async ({ issueId }) => { return withMantisConfigured("get_issue_by_id", async () => { const issue = await mantisApi.getIssueById(issueId); return JSON.stringify(issue, null, 2); }); } );
  • TypeScript interface defining the structure of the Issue object returned by the getIssueById handler, serving as output schema.
    export interface Issue { id: number; summary: string; description: string; status: { id: number; name: string; }; project: { id: number; name: string; }; category: { id: number; name: string; }; reporter: { id: number; name: string; email: string; }; handler?: { id: number; name: string; email: string; }; priority?: { id: number; name: string; }; severity?: { id: number; name: string; }; created_at: string; updated_at: string; }
  • Zod input schema for the tool, validating the issueId parameter.
    { issueId: z.number().describe("問題 ID"), },
  • Helper function used by all tools to check Mantis configuration, execute the core action, handle errors, and format MCP-compliant responses.
    async function withMantisConfigured<T>( toolName: string, action: () => Promise<T> ): Promise<{ [x: string]: unknown; content: Array<{ [x: string]: unknown; type: "text"; text: string; }>; _meta?: { [key: string]: unknown } | undefined; isError?: boolean | undefined; }> { try { // 檢查是否已配置 Mantis API if (!isMantisConfigured()) { return { content: [ { type: "text", text: JSON.stringify( { error: "Mantis API 尚未配置", message: "請在環境變數中設定 MANTIS_API_URL 和 MANTIS_API_KEY" }, null, 2 ), }, ], isError: true }; } // 執行工具邏輯 const result = await action(); return { content: [ { type: "text", text: typeof result === 'string' ? result : JSON.stringify(result, null, 2), }, ], }; } catch (error) { // 處理錯誤情況 let errorMessage = `執行 ${toolName} 時發生錯誤`; let logData: LogData = { tool: toolName }; if (error instanceof MantisApiError) { errorMessage = `Mantis API 錯誤: ${error.message}`; if (error.statusCode) { errorMessage += ` (HTTP ${error.statusCode})`; logData = { ...logData, statusCode: error.statusCode }; } log.error(errorMessage, { ...logData, error: error.message }); } else if (error instanceof Error) { errorMessage = error.message; log.error(errorMessage, { ...logData, error: error.stack }); } else { log.error(errorMessage, { ...logData, error }); } return { content: [ { type: "text", text: JSON.stringify( { error: errorMessage, }, null, 2 ), }, ], isError: true }; } }

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