Sanity MCP ByteBuddy 食谱

本食谱介绍如何使用 Sanity MCP 来构建无头 CMS 的智能内容管理系统，让 ByteBuddy 能够自动化内容工作流。

概述

Sanity MCP 提供了对 Sanity CMS 的深度集成，让 ByteBuddy 能够：

• 自动化内容创建和管理
• 智能内容生成和优化
• 多媒体资源管理
• 内容发布调度

配置

1. 安装 Sanity MCP

npm install -g sanity-mcp-server

2. 配置 ByteBuddy

{
  "mcpServers": {
    "sanity": {
      "command": "node",
      "args": ["sanity-mcp-server"],
      "env": {
        "SANITY_PROJECT_ID": "your-project-id",
        "SANITY_DATASET": "production",
        "SANITY_API_VERSION": "2023-01-01",
        "SANITY_TOKEN": "your-api-token"
      }
    }
  }
}

使用场景

场景 1: 自动内容生成

// 智能内容生成
class ContentGenerator {
  async generateArticle(topic: string, keywords: string[]) {
    // 生成文章大纲
    const outline = await this.generateOutline(topic, keywords);

    // 生成文章内容
    const content = await this.generateContent(outline);

    // 创建 Sanity 文档
    const document = await mcp.call("sanity.create", {
      _type: "article",
      title: topic,
      slug: {
        _type: "slug",
        current: this.generateSlug(topic),
      },
      publishedAt: new Date().toISOString(),
      author: {
        _type: "reference",
        _ref: "default-author-id",
      },
      categories: this.mapToCategories(keywords),
      body: this.convertToPortableText(content),
      seo: {
        title: topic,
        description: content.excerpt,
        keywords: keywords.join(", "),
      },
    });

    // 生成相关图片
    if (content.needsImage) {
      const image = await this.generateImage(topic);
      await this.attachImage(document._id, image);
    }

    return document;
  }

  private convertToPortableText(content: any) {
    return content.blocks.map((block) => ({
      _type: "block",
      _key: randomId(),
      style: block.type,
      markDefs: block.marks || [],
      children: block.text.map((text) => ({
        _type: "span",
        text: text.content,
        marks: text.marks || [],
      })),
    }));
  }
}

场景 2: 内容工作流自动化

// 内容工作流管理
class ContentWorkflow {
  async setupWorkflow() {
    // 设置内容状态变化监听
    mcp.on("document.created", async (event) => {
      if (event.document._type === "article") {
        await this.processNewArticle(event.document);
      }
    });

    mcp.on("document.updated", async (event) => {
      if (event.document._type === "article") {
        await this.processArticleUpdate(event.document);
      }
    });
  }

  private async processNewArticle(article: any) {
    // 内容质量检查
    const qualityCheck = await this.checkContentQuality(article);

    if (!qualityCheck.passed) {
      await this.updateDraftStatus(
        article._id,
        "needs-review",
        qualityCheck.issues,
      );
      return;
    }

    // SEO 优化
    const seoOptimization = await this.optimizeForSEO(article);
    await this.applySEOChanges(article._id, seoOptimization);

    // 自动生成相关内容
    const relatedContent = await this.generateRelatedContent(article);
    await this.linkRelatedContent(article._id, relatedContent);

    // 通知审核团队
    await this.notifyReviewTeam(article._id);
  }

  private async checkContentQuality(article: any) {
    const checks = {
      wordCount: this.checkWordCount(article.body),
      readability: this.checkReadability(article.body),
      links: this.checkInternalLinks(article.body),
      images: this.checkImageOptimization(article.body),
    };

    const issues = [];

    if (checks.wordCount < 500) {
      issues.push("文章字数过少，建议至少 500 字");
    }

    if (checks.readability.score < 60) {
      issues.push("文章可读性较低，建议简化句子结构");
    }

    if (checks.links.count < 2) {
      issues.push("内部链接较少，建议增加相关链接");
    }

    return {
      passed: issues.length === 0,
      issues,
      score: this.calculateQualityScore(checks),
    };
  }
}

多媒体管理

1: 智能图像处理

// 图像智能管理
class ImageManager {
  async processImage(imageId: string) {
    // 获取图像信息
    const image = await mcp.call("sanity.getDocument", {
      id: imageId,
    });

    // 自动生成多个尺寸
    const variants = await this.generateVariants(image);

    // 优化图像
    const optimized = await this.optimizeImage(image);

    // 生成 ALT 文本
    const altText = await this.generateAltText(optimized);

    // 更新文档
    await mcp.call("sanity.patch", {
      id: imageId,
      set: {
        altText: altText,
        variants: variants,
        metadata: optimized.metadata,
      },
    });

    return optimized;
  }

  private async generateVariants(image: any) {
    const sizes = [
      { name: "thumbnail", width: 150, height: 150 },
      { name: "small", width: 400, height: 300 },
      { name: "medium", width: 800, height: 600 },
      { name: "large", width: 1200, height: 900 },
    ];

    const variants = [];

    for (const size of sizes) {
      const variant = await this.resizeImage(image, size);
      variants.push({
        _key: size.name,
        _type: "imageVariant",
        url: variant.url,
        width: size.width,
        height: size.height,
        size: variant.fileSize,
      });
    }

    return variants;
  }

  private async generateAltText(image: any) {
    // 使用 AI 分析图像内容
    const analysis = await mcp.call("ai.analyzeImage", {
      imageUrl: image.url,
      features: ["objects", "text", "scenes"],
    });

    return this.formatAltText(analysis);
  }
}

2: 视频内容管理

// 视频内容管理
class VideoManager {
  async processVideo(videoId: string) {
    const video = await mcp.call("sanity.getDocument", {
      id: videoId,
    });

    // 生成缩略图
    const thumbnail = await this.generateThumbnail(video);

    // 提取字幕
    const subtitles = await this.extractSubtitles(video);

    // 生成视频摘要
    const summary = await this.generateVideoSummary(video);

    // 创建预览片段
    const preview = await this.generatePreview(video);

    await mcp.call("sanity.patch", {
      id: videoId,
      set: {
        thumbnail: { _type: "image", asset: { _ref: thumbnail.id } },
        subtitles: subtitles,
        summary: summary,
        preview: { _type: "file", asset: { _ref: preview.id } },
        processed: true,
        processedAt: new Date().toISOString(),
      },
    });

    return { thumbnail, subtitles, summary, preview };
  }
}

内容发布

1: 智能发布调度

// 发布调度系统
class PublishScheduler {
  async schedulePublishing(documentId: string, scheduleOptions: any) {
    // 分析最佳发布时间
    const optimalTime = await this.analyzeOptimalPublishTime(documentId);

    // 设置发布调度
    const schedule = await mcp.call("sanity.create", {
      _type: "publishSchedule",
      document: { _type: "reference", _ref: documentId },
      scheduledTime: optimalTime,
      timezone: scheduleOptions.timezone,
      channels: scheduleOptions.channels,
      conditions: scheduleOptions.conditions,
    });

    // 设置自动化任务
    await this.setupAutomationTasks(schedule._id);

    return schedule;
  }

  private async analyzeOptimalPublishTime(documentId: string) {
    // 获取历史发布数据
    const historicalData = await mcp.call("sanity.query", {
      query: `*[_type == "article" && publishedAt < now()]{
        publishedAt,
        views,
        engagement
      } | order(publishedAt desc) [0..100]`,
    });

    // 分析用户活跃时间
    const engagementAnalysis = this.analyzeEngagementByTime(historicalData);

    // 考虑内容类型
    const document = await mcp.call("sanity.getDocument", { id: documentId });
    const typeMultiplier = this.getTypeMultiplier(document._type);

    // 计算最佳时间
    return this.calculateOptimalTime(engagementAnalysis, typeMultiplier);
  }

  async executePublishing(scheduleId: string) {
    const schedule = await mcp.call("sanity.getDocument", { id: scheduleId });

    // 检查发布条件
    const conditionsMet = await this.checkPublishConditions(
      schedule.conditions,
    );

    if (!conditionsMet) {
      await this.reschedulePublishing(scheduleId, "conditions_not_met");
      return;
    }

    // 发布文档
    await this.publishDocument(schedule.document._ref);

    // 分发到渠道
    for (const channel of schedule.channels) {
      await this.distributeToChannel(schedule.document._ref, channel);
    }

    // 更新状态
    await mcp.call("sanity.patch", {
      id: scheduleId,
      set: {
        status: "published",
        publishedAt: new Date().toISOString(),
      },
    });
  }
}

SEO 优化

1: 自动 SEO 优化

// SEO 优化器
class SEOOptimizer {
  async optimizeDocument(documentId: string) {
    const document = await mcp.call("sanity.getDocument", {
      id: documentId,
    });

    const optimizations = {
      seo: await this.optimizeSEO(document),
      structure: await this.optimizeStructure(document),
      performance: await this.optimizePerformance(document),
      accessibility: await this.optimizeAccessibility(document),
    };

    // 应用优化
    await this.applyOptimizations(documentId, optimizations);

    return optimizations;
  }

  private async optimizeSEO(document: any) {
    const seoData = {
      title: this.optimizeTitle(document.title),
      description: this.generateMetaDescription(document.body),
      keywords: this.extractKeywords(document.body),
      openGraph: this.generateOpenGraphData(document),
      structuredData: this.generateStructuredData(document),
    };

    return seoData;
  }

  private generateStructuredData(document: any) {
    return {
      "@context": "https://schema.org",
      "@type": "Article",
      headline: document.title,
      description: document.seo?.description,
      author: {
        "@type": "Person",
        name: document.author?.name || "匿名",
      },
      datePublished: document.publishedAt,
      dateModified: document._updatedAt,
      mainEntityOfPage: {
        "@type": "WebPage",
        "@id": `https://yoursite.com/articles/${document.slug.current}`,
      },
    };
  }
}

内容分析

1: 内容性能分析

// 内容性能分析器
class ContentAnalyzer {
  async analyzeContentPerformance(timeRange: string = "30d") {
    // 获取内容数据
    const content = await mcp.call("sanity.query", {
      query: `*[_type == "article" && publishedAt >= now() - $timeRange]{
        _id,
        title,
        publishedAt,
        views,
        engagement,
        conversionRate
      }`,
      variables: { timeRange },
    });

    // 计算关键指标
    const metrics = {
      totalViews: this.sumField(content, "views"),
      avgEngagement: this.averageField(content, "engagement"),
      topPerforming: this.findTopPerforming(content),
      trends: this.analyzeTrends(content),
      recommendations: await this.generateRecommendations(content),
    };

    // 创建分析报告
    const report = await this.createAnalyticsReport(metrics);

    return report;
  }

  private async generateRecommendations(content: any[]) {
    const recommendations = [];

    // 分析表现良好的内容特征
    const topPerformers = content
      .sort((a, b) => b.engagement - a.engagement)
      .slice(0, 5);

    const commonThemes = this.identifyCommonThemes(topPerformers);

    recommendations.push({
      type: "content_strategy",
      title: "内容策略建议",
      description: `表现最好的内容集中在：${commonThemes.join(", ")}`,
      action: "增加这些主题的内容创作",
    });

    // 识别改进机会
    const lowPerforming = content.filter((c) => c.engagement < 0.1);
    if (lowPerforming.length > 0) {
      recommendations.push({
        type: "optimization",
        title: "内容优化机会",
        description: `${lowPerforming.length} 篇文章表现不佳`,
        action: "重新优化或更新这些内容",
      });
    }

    return recommendations;
  }
}

最佳实践

1: 内容治理

// 内容治理体系
class ContentGovernance {
  async setupGovernanceRules() {
    const rules = {
      publishing: {
        requiredFields: ["title", "slug", "body", "author"],
        validationRules: [
          { field: "title", rule: "minLength(10)" },
          { field: "body", rule: "minLength(200)" },
          { field: "seo.description", rule: "maxLength(160)" },
        ],
      },
      quality: {
        minWordCount: 300,
        maxReadabilityScore: 12,
        requiredImages: 1,
        minInternalLinks: 2,
      },
      workflow: {
        reviewRequired: true,
        autoPublish: false,
        approvalLevels: 2,
      },
    };

    return await mcp.call("sanity.create", {
      _type: "governanceRules",
      rules: rules,
      version: "1.0.0",
      createdAt: new Date().toISOString(),
    });
  }
}

通过 Sanity MCP，ByteBuddy 可以提供强大的内容管理能力，使内容创建和管理更加智能和高效。