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Notion ByteBuddy Guide

This guide introduces how to use Notion MCP to build intelligent knowledge management systems, enabling ByteBuddy to deeply integrate with Notion workspaces.

Overview

Notion MCP provides comprehensive access to the Notion API, allowing ByteBuddy to:

  • Automate document management
  • Create intelligent databases
  • Generate content summaries
  • Sync project information

Configuration

1. Install Notion MCP

bash
npm install -g notion-mcp-server

2. Configure ByteBuddy

json
{
  "mcpServers": {
    "notion": {
      "command": "node",
      "args": ["notion-mcp-server"],
      "env": {
        "NOTION_TOKEN": "your-notion-integration-token",
        "NOTION_VERSION": "2022-06-28"
      }
    }
  }
}

3. Create Notion Integration

  1. Visit Notion Integrations
  2. Create a new integration
  3. Get Integration Token
  4. Share relevant pages in your workspace

Use Cases

Scenario 1: Project Knowledge Base Management

typescript
// Automatic project knowledge base
class ProjectKnowledgeBase {
  async createProjectDocumentation(projectName: string, repository: string) {
    // Create project homepage
    const projectPage = await mcp.call("notion.createPage", {
      parent: { type: "page_id", page_id: "workspace_root" },
      properties: {
        title: { title: [{ text: { content: projectName } }] },
        Type: { select: { name: "Project" } },
        Status: { select: { name: "Active" } },
      },
      children: this.generateProjectTemplate(projectName, repository),
    });

    // Create subpages
    await this.createDocumentationPages(projectPage.id, projectName);

    // Set up database relationships
    await this.setupProjectDatabase(projectPage.id, projectName);

    return projectPage;
  }

  private generateProjectTemplate(projectName: string, repository: string) {
    return [
      {
        object: "block",
        type: "heading_2",
        heading_2: { rich_text: [{ text: { content: "Project Overview" }] },
      },
      {
        object: "block",
        type: "paragraph",
        paragraph: {
          rich_text: [
            {
              text: {
                content: `Project Name: ${projectName}\nRepository: ${repository}`,
              },
            },
          ],
        },
      },
      {
        object: "block",
        type: "heading_2",
        heading_2: { rich_text: [{ text: { content: "Quick Links" }] },
      },
      {
        object: "block",
        type: "bulleted_list_item",
        bulleted_list_item: {
          rich_text: [{ text: { content: `📁 Repository: ${repository}` } }],
        },
      },
    ];
  }
}

Scenario 2: Meeting Notes Automation

typescript
// Intelligent meeting recorder
class MeetingRecorder {
  async createMeetingNotes(meetingInfo: any) {
    // Create meeting page
    const meetingPage = await mcp.call("notion.createPage", {
      parent: {
        type: "database_id",
        database_id: meetingInfo.meetingDatabaseId,
      },
      properties: {
        "Meeting Title": { title: [{ text: { content: meetingInfo.title } }] },
        Date: { date: { start: meetingInfo.date } },
        Attendees: { multi_select: meetingInfo.attendees },
        "Meeting Type": { select: { name: meetingInfo.type } },
      },
    });

    // Add meeting content
    await this.addMeetingContent(meetingPage.id, meetingInfo);

    // Create action items
    if (meetingInfo.actionItems) {
      await this.createActionItems(meetingPage.id, meetingInfo.actionItems);
    }

    // Distribute notifications
    await this.notifyAttendees(meetingPage.id, meetingInfo.attendees);

    return meetingPage;
  }

  private async addMeetingContent(pageId: string, meetingInfo: any) {
    const content = [
      {
        object: "block",
        type: "heading_2",
        heading_2: { rich_text: [{ text: { content: "Meeting Objectives" }] },
      },
      {
        object: "block",
        type: "paragraph",
        paragraph: {
          rich_text: [{ text: { content: meetingInfo.objective } }],
        },
      },
      {
        object: "block",
        type: "heading_2",
        heading_2: { rich_text: [{ text: { content: "Discussion Points" }] },
      },
    ];

    // Add discussion points
    for (const point of meetingInfo.discussionPoints) {
      content.push({
        object: "block",
        type: "bulleted_list_item",
        bulleted_list_item: {
          rich_text: [{ text: { content: point } }],
        },
      });
    }

    await mcp.call("notion.appendBlockChildren", {
      block_id: pageId,
      children: content,
    });
  }

  private async createActionItems(meetingPageId: string, actionItems: any[]) {
    for (const item of actionItems) {
      await mcp.call("notion.createPage", {
        parent: { type: "database_id", database_id: item.actionDatabaseId },
        properties: {
          Task: { title: [{ text: { content: item.task } }] },
          Assignee: { select: { name: item.assignee } },
          "Due Date": { date: { start: item.dueDate } },
          Status: { select: { name: "To Do" } },
          "Related Meeting": { relation: [{ id: meetingPageId }] },
        },
      });
    }
  }
}

Scenario 3: Content Generation and Optimization

typescript
// Intelligent content generation
class ContentGenerator {
  async generateBlogPost(topic: string, researchData: any) {
    // Generate outline
    const outline = await this.generateOutline(topic, researchData);

    // Generate content
    const content = await this.generateContent(outline, researchData);

    // Create Notion page
    const blogPost = await mcp.call("notion.createPage", {
      parent: { type: "database_id", database_id: researchData.blogDatabaseId },
      properties: {
        Title: { title: [{ text: { content: topic } }] },
        Status: { select: { name: "Draft" } },
        Category: { multi_select: researchData.categories },
        WordCount: { number: content.wordCount },
      },
    });

    // Add content to page
    await this.addContentToPage(blogPost.id, content.blocks);

    // Add metadata
    await this.addMetadata(blogPost.id, {
      estimatedReadTime: Math.ceil(content.wordCount / 200),
      tags: researchData.tags,
      seoKeywords: researchData.keywords,
    });

    return blogPost;
  }

  private async generateContent(outline: any, researchData: any) {
    const blocks = [];

    for (const section of outline.sections) {
      // Add heading
      blocks.push({
        object: "block",
        type: "heading_2",
        heading_2: { rich_text: [{ text: { content: section.title } }] },
      });

      // Generate paragraph content
      for (const paragraph of section.paragraphs) {
        blocks.push({
          object: "block",
          type: "paragraph",
          paragraph: {
            rich_text: [{ text: { content: paragraph } }],
          },
        });
      }

      // Add quotes or code blocks (if any)
      if (section.quotes) {
        blocks.push({
          object: "block",
          type: "quote",
          quote: { rich_text: [{ text: { content: section.quotes } }] },
        });
      }
    }

    return { blocks, wordCount: this.calculateWordCount(blocks) };
  }
}

Database Management

1. Intelligent Database Creation

typescript
// Automated database management
class DatabaseManager {
  async createProjectTracker() {
    const database = await mcp.call("notion.createDatabase", {
      parent: { type: "page_id", page_id: "workspace_root" },
      title: [{ text: { content: "Project Tracker" } }],
      properties: {
        "Project Name": { title: {} },
        Status: {
          select: {
            options: [
              { name: "Planning", color: "gray" },
              { name: "In Progress", color: "blue" },
              { name: "Completed", color: "green" },
              { name: "Paused", color: "yellow" },
            ],
          },
        },
        Priority: {
          select: {
            options: [
              { name: "High", color: "red" },
              { name: "Medium", color: "yellow" },
              { name: "Low", color: "gray" },
            ],
          },
        },
        Assignee: { people: {} },
        "Start Date": { date: {} },
        "Due Date": { date: {} },
        Progress: { number: { format: "percent" } },
        Tags: { multi_select: {} },
        Description: { rich_text: {} },
      },
    });

    return database;
  }

  async createKnowledgeBase() {
    const database = await mcp.call("notion.createDatabase", {
      parent: { type: "page_id", page_id: "workspace_root" },
      title: [{ text: { content: "Knowledge Base" } }],
      properties: {
        Title: { title: {} },
        Category: {
          select: {
            options: [
              { name: "Documentation", color: "blue" },
              { name: "Tutorial", color: "green" },
              { name: "Best Practices", color: "yellow" },
              { name: "FAQ", color: "purple" },
            ],
          },
        },
        Tags: { multi_select: {} },
        "Created Date": { date: {} },
        "Last Updated": { last_edited_time: {} },
        Author: { people: {} },
        "Difficulty Level": {
          select: {
            options: [
              { name: "Beginner", color: "green" },
              { name: "Intermediate", color: "yellow" },
              { name: "Advanced", color: "red" },
            ],
          },
        },
        "Reading Time": { number: { format: "number" } },
        Rating: { number: { format: "number" } },
      },
    });

    return database;
  }
}

2. Data Synchronization

typescript
// Multi-source data synchronization
class DataSyncManager {
  async syncGitHubToNotion(repoInfo: any, notionDatabaseId: string) {
    // Fetch GitHub data
    const githubData = await this.fetchGitHubData(repoInfo);

    for (const issue of githubData.issues) {
      // Check if already exists
      const existingPage = await mcp.call("notion.queryDatabase", {
        database_id: notionDatabaseId,
        filter: {
          property: "GitHub ID",
          number: { equals: issue.id },
        },
      });

      if (existingPage.results.length === 0) {
        // Create new page
        await mcp.call("notion.createPage", {
          parent: { type: "database_id", database_id: notionDatabaseId },
          properties: {
            Title: { title: [{ text: { content: issue.title } }] },
            "GitHub ID": { number: issue.id },
            Status: { select: { name: this.mapGitHubStatus(issue.state) } },
            "Created Time": { date: { start: issue.created_at } },
            Assignee: {
              people: issue.assignee ? [{ id: issue.assignee.id }] : [],
            },
            Tags: {
              multi_select: issue.labels.map((label) => ({ name: label.name })),
            },
            Description: {
              rich_text: [{ text: { content: issue.body || "" } }],
            },
          },
        });
      } else {
        // Update existing page
        await mcp.call("notion.updatePage", {
          page_id: existingPage.results[0].id,
          properties: {
            Status: { select: { name: this.mapGitHubStatus(issue.state) } },
            "Last Updated": { last_edited_time: { start: issue.updated_at } },
          },
        });
      }
    }
  }

  private mapGitHubStatus(gitHubState: string): string {
    const statusMap = {
      open: "In Progress",
      closed: "Completed",
      draft: "Draft",
    };
    return statusMap[gitHubState] || "Unknown";
  }
}

Intelligent Analysis

1. Content Analysis

typescript
// Notion content intelligent analysis
class ContentAnalyzer {
  async analyzeDatabase(databaseId: string) {
    const pages = await mcp.call("notion.queryDatabase", {
      database_id: databaseId,
    });

    const analysis = {
      totalPages: pages.results.length,
      byCategory: {},
      byStatus: {},
      byAuthor: {},
      averageReadTime: 0,
      mostActiveAuthors: [],
      contentGrowth: [],
    };

    for (const page of pages.results) {
      const properties = page.properties;

      // Count by category
      const category = properties["Category"]?.select?.name || "Uncategorized";
      analysis.byCategory[category] = (analysis.byCategory[category] || 0) + 1;

      // Count by status
      const status = properties["Status"]?.select?.name || "Unknown";
      analysis.byStatus[status] = (analysis.byStatus[status] || 0) + 1;

      // Count by author
      const authors = properties["Author"]?.people || [];
      for (const author of authors) {
        analysis.byAuthor[author.name] =
          (analysis.byAuthor[author.name] || 0) + 1;
      }
    }

    // Calculate most active authors
    analysis.mostActiveAuthors = Object.entries(analysis.byAuthor)
      .sort(([, a], [, b]) => b - a)
      .slice(0, 5);

    return analysis;
  }

  async generateInsights(databaseId: string) {
    const analysis = await this.analyzeDatabase(databaseId);

    const insights = [];

    // Content volume analysis
    if (analysis.totalPages > 50) {
      insights.push({
        type: "content_volume",
        message:
          "Rich knowledge base content, continue maintaining update frequency",
        recommendation:
          "Consider establishing content review processes to ensure quality",
      });
    }

    // Category distribution analysis
    const categories = Object.keys(analysis.byCategory);
    if (categories.length < 3) {
      insights.push({
        type: "category_diversity",
        message: "Few content categories, recommend adding more categories",
        recommendation: "Create a more granular classification system",
      });
    }

    // Activity analysis
    const activeAuthors = Object.keys(analysis.byAuthor).length;
    if (activeAuthors < 3) {
      insights.push({
        type: "collaboration",
        message: "Few content creators, encourage more team participation",
        recommendation: "Establish content contribution incentive mechanisms",
      });
    }

    return insights;
  }
}

Workflow Automation

1. Intelligent Workflows

typescript
// Notion workflow automation
class WorkflowAutomator {
  async setupDocumentWorkflow() {
    // Set up new document automation process
    mcp.on("page.created", async (event) => {
      const page = await mcp.call("notion.getPage", {
        page_id: event.page_id,
      });

      // Auto-tag content
      await this.autoTagContent(page);

      // Generate summary
      await this.generateSummary(page);

      // Assign reviewer
      await this.assignReviewer(page);
    });

    // Set up document update notifications
    mcp.on("page.updated", async (event) => {
      await this.notifyUpdate(event.page_id);
    });
  }

  private async autoTagContent(page: any) {
    const content = await this.extractContent(page);
    const tags = await this.generateTags(content);

    await mcp.call("notion.updatePage", {
      page_id: page.id,
      properties: {
        Tags: { multi_select: tags },
      },
    });
  }

  private async generateSummary(page: any) {
    const content = await this.extractContent(page);
    const summary = await mcp.call("ai.generateSummary", {
      content: content,
      maxLength: 150,
    });

    await mcp.call("notion.appendBlockChildren", {
      block_id: page.id,
      children: [
        {
          object: "block",
          type: "callout",
          callout: {
            rich_text: [
              { text: { content: "📝 Summary: " } },
              { text: { content: summary } },
            ],
            icon: { emoji: "📝" },
          },
        },
      ],
    });
  }
}

Best Practices

1. Template Management

typescript
// Template management system
class TemplateManager {
  async createProjectTemplate() {
    return {
      properties: {
        "Project Name": { title: {} },
        Status: {
          select: {
            options: [
              { name: "Initiation", color: "green" },
              { name: "Planning", color: "blue" },
              { name: "Execution", color: "yellow" },
              { name: "Closing", color: "purple" },
            ],
          },
        },
      },
      template: {
        blocks: [
          {
            type: "heading_1",
            content: "Project Overview",
          },
          {
            type: "column_list",
            columns: [
              {
                blocks: [
                  { type: "heading_3", content: "Project Goals" },
                  {
                    type: "toggle",
                    title: "Main Goals",
                    content: "Detailed goal description",
                  },
                ],
              },
              {
                blocks: [
                  { type: "heading_3", content: "Key Metrics" },
                  { type: "table", headers: ["Metric", "Target", "Current"] },
                ],
              },
            ],
          },
        ],
      },
    };
  }
}

With Notion MCP, ByteBuddy can provide powerful knowledge management and collaboration features, enabling teams to organize and manage information more efficiently.