provisioning-outreach/presentations/rust-laspalmas-250926/info/framewor_mcp_plan.md

🤖 MCP (Model Context Protocol) Integration for BlazeFrame

What MCP Could Bring to BlazeFrame

MCP would transform BlazeFrame from a static site generator into an AI-powered content infrastructure platform. Let me analyze the potential integrations:

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🎯 Core MCP Integration Points

1. Content Generation & Enhancement

// MCP Server: content-generator { "name": "blazeframe-content", "capabilities": { "generateFromSchema": "Create content from KCL schemas", "enhanceMarkdown": "Improve existing content", "translateContent": "Multi-language generation", "optimizeSEO": "SEO recommendations" } }

Use Cases:

• Generate blog posts from KCL schema templates

• Auto-complete frontmatter metadata

• Create content variations for A/B testing

• Generate email versions from web content

  1. Schema Intelligence

  // AI helps design and validate schemas schema BlogPost: title: str # MCP: "Should be 50-60 chars for SEO" meta_description: str # MCP: "Generated from content" keywords: [str] # MCP: "Auto-extracted from text" reading_time: int # MCP: "Calculated automatically"

  MCP Features:

• Schema generation from natural language

• Type inference from existing content

• Migration assistance between schema versions

• Best practices recommendations

  1. Real-time Development Assistant

MCP-powered CLI interactions

./blaze ask "Why is my build slow?"

MCP analyzes build logs, suggests optimizations

./blaze fix "broken links in blog posts"

MCP scans, identifies, and fixes issues

./blaze generate "documentation for my API"

MCP creates docs from code comments

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🏗️ MCP Architecture for BlazeFrame

MCP Server Components

// blazeframe-mcp-server/index.js class BlazeFrameMCPServer { tools = { // Content Tools generateContent: async (schema, params) => {}, optimizeContent: async (content, target) => {}, translateContent: async (content, language) => {},

  // Schema Tools
  generateSchema: async (description) => {},
  validateSchema: async (schema) => {},
  migrateSchema: async (old, new) => {},

  // Development Tools
  analyzePerformance: async (metrics) => {},
  suggestOptimizations: async (config) => {},
  debugErrors: async (logs) => {},

  // Asset Tools
  generateImages: async (prompts) => {},
  optimizeAssets: async (files) => {},
  createVariations: async (asset, specs) => {}
}

}

Integration with BlazeFrame Core

framework/mcp/mcp-integration.nu

export def integrate_mcp [config: record, verbose: bool] { # Check MCP server availability let mcp_available = (check_mcp_server)

  if $mcp_available {
      # Connect to MCP server
      let mcp = (connect_mcp_server $config.mcp.url)

      # Register available tools
      register_content_tools $mcp
      register_schema_tools $mcp
      register_dev_tools $mcp

      if $verbose { print "✅ MCP integration active" }
  }

}

Use MCP for content generation

export def generate_with_mcp [schema: record, prompt: string] { let mcp = (get_mcp_connection)

  # Generate content from schema
  let content = ($mcp | generate_content $schema $prompt)

  # Validate against schema
  let validated = (validate_with_kcl $content $schema)

  # Optimize for output formats
  let optimized = ($mcp | optimize_content $validated)

  $optimized

}

---

🚀 Killer MCP Features for BlazeFrame

1. Interactive Content Creation

./blaze create blog --ai-assisted

MCP: "What's your blog post about?"

"Rust performance optimization"

MCP generates

- Title options

- Outline structure

- Frontmatter metadata

- Initial content draft

- Related images

- SEO keywords

1. Automatic Documentation

./blaze docs generate --from-code

MCP analyzes your codebase and

- Extracts API documentation

- Generates usage examples

- Creates tutorials

- Builds reference guides

1. Content Migration Assistant

./blaze migrate from-wordpress https://oldblog.com

MCP handles

- Content extraction

- Format conversion

- Asset downloading

- URL mapping

- SEO preservation

1. Real-time Content Optimization

./blaze optimize content --target "mobile email"

MCP performs

- Text simplification

- Image optimization

- Layout adjustments

- A/B test variations

1. Intelligent Error Resolution

Build fails

ERROR: Schema validation failed at line 42

MCP automatically suggests

"The 'published_date' field should be ISO 8601 format. Would you like me to fix this? [Y/n]"

One-click fix

./blaze fix --auto

---

💡 Advanced MCP Use Cases

1. Content Intelligence Pipeline

graph LR A[Raw Content] --> B[MCP Analysis] B --> C[Schema Validation] C --> D[Multi-format Generation] D --> E[SEO Optimization] E --> F[Performance Testing] F --> G[Deployment]

1. AI-Powered Workflows

.blazeframe/workflows/ai-blog.yaml

name: AI-Enhanced Blog Pipeline triggers: - on: content_created

steps: - mcp_enhance: add_metadata: true generate_summary: true extract_keywords: true

- mcp_generate:
    social_posts: true
    email_version: true

- mcp_optimize:
    images: true
    seo: true

- mcp_translate:
    languages: ["es", "fr", "de"]

3. Schema Evolution with AI

MCP suggests schema improvements

schema BlogPost: title: str author: str # MCP: "Add 'canonical_url' for SEO" # MCP: "Add 'schema_org' for structured data" # MCP: "Add 'social_image' for sharing"

---

🔧 Implementation Plan

Phase 1: Basic MCP Integration

1. Create MCP server for BlazeFrame
2. Implement content generation tools
3. Add schema validation assistance
4. Basic error resolution

Phase 2: Advanced Features

1. Multi-format content generation
2. Image generation with AI
3. Performance optimization suggestions
4. Migration tools

Phase 3: Full AI Platform

1. Real-time collaboration with AI
2. Content strategy recommendations
3. Automated A/B testing
4. Predictive content performance

---

📊 MCP Benefits for BlazeFrame Users

For Solo Developers

• Never start from blank page

• Automatic SEO optimization

• Content ideas and variations

• Error fixes without Stack Overflow

  For Teams

• Consistent content quality

• Automated documentation

• Knowledge sharing through AI

• Reduced review cycles

  For Enterprises

• Compliance checking

• Multi-language support

• Brand voice consistency

• Content governance

  ---

  🎮 Example MCP Commands

Generate entire site from description

./blaze init --ai "Create a developer portfolio with blog"

Fix all issues automatically

./blaze fix --all --ai

Generate week's worth of content

./blaze content plan --days 7 --topic "Rust tutorials"

Optimize for specific audience

./blaze optimize --audience "senior developers"

Create variations for testing

./blaze variants create --count 3 --test "conversion"

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⏺ User approved Claude's plan: ⎿ MCP Integration Plan for BlazeFrame

Proposed Implementation:

1. Create MCP Server (blazeframe-mcp-server/)

- Content generation tools
- Schema intelligence
- Error resolution
- Asset optimization

2. Integrate with Core (framework/mcp/)

- MCP connection manager
- Tool registration system
- AI workflow pipelines

3. Enhanced CLI Commands

- blaze create --ai-assisted
- blaze fix --auto
- blaze optimize --ai
- blaze generate docs

4. Key Features to Implement

- Schema generation from natural language
- Automatic content enhancement
- Multi-format generation
- Intelligent error fixes
- SEO optimization
- Image generation

This would transform BlazeFrame from a static site generator into an AI-powered content platform that helps developers at every step
of the content creation process.