372 lines
8 KiB
Markdown
372 lines
8 KiB
Markdown
🤖 MCP (Model Context Protocol) Integration for BlazeFrame
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What MCP Could Bring to BlazeFrame
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MCP would transform BlazeFrame from a static site generator into an AI-powered content infrastructure platform. Let me analyze the
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potential integrations:
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---
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🎯 Core MCP Integration Points
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1. Content Generation & Enhancement
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// MCP Server: content-generator
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{
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"name": "blazeframe-content",
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"capabilities": {
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"generateFromSchema": "Create content from KCL schemas",
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"enhanceMarkdown": "Improve existing content",
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"translateContent": "Multi-language generation",
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"optimizeSEO": "SEO recommendations"
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}
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}
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Use Cases:
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- Generate blog posts from KCL schema templates
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- Auto-complete frontmatter metadata
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- Create content variations for A/B testing
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- Generate email versions from web content
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1. Schema Intelligence
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// AI helps design and validate schemas
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schema BlogPost:
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title: str # MCP: "Should be 50-60 chars for SEO"
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meta_description: str # MCP: "Generated from content"
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keywords: [str] # MCP: "Auto-extracted from text"
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reading_time: int # MCP: "Calculated automatically"
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MCP Features:
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- Schema generation from natural language
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- Type inference from existing content
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- Migration assistance between schema versions
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- Best practices recommendations
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1. Real-time Development Assistant
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# MCP-powered CLI interactions
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./blaze ask "Why is my build slow?"
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# MCP analyzes build logs, suggests optimizations
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./blaze fix "broken links in blog posts"
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# MCP scans, identifies, and fixes issues
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./blaze generate "documentation for my API"
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# MCP creates docs from code comments
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---
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🏗️ MCP Architecture for BlazeFrame
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MCP Server Components
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// blazeframe-mcp-server/index.js
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class BlazeFrameMCPServer {
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tools = {
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// Content Tools
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generateContent: async (schema, params) => {},
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optimizeContent: async (content, target) => {},
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translateContent: async (content, language) => {},
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// Schema Tools
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generateSchema: async (description) => {},
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validateSchema: async (schema) => {},
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migrateSchema: async (old, new) => {},
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// Development Tools
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analyzePerformance: async (metrics) => {},
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suggestOptimizations: async (config) => {},
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debugErrors: async (logs) => {},
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// Asset Tools
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generateImages: async (prompts) => {},
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optimizeAssets: async (files) => {},
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createVariations: async (asset, specs) => {}
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}
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}
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Integration with BlazeFrame Core
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# framework/mcp/mcp-integration.nu
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export def integrate_mcp [config: record, verbose: bool] {
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# Check MCP server availability
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let mcp_available = (check_mcp_server)
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if $mcp_available {
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# Connect to MCP server
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let mcp = (connect_mcp_server $config.mcp.url)
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# Register available tools
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register_content_tools $mcp
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register_schema_tools $mcp
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register_dev_tools $mcp
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if $verbose { print "✅ MCP integration active" }
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}
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}
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# Use MCP for content generation
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export def generate_with_mcp [schema: record, prompt: string] {
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let mcp = (get_mcp_connection)
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# Generate content from schema
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let content = ($mcp | generate_content $schema $prompt)
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# Validate against schema
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let validated = (validate_with_kcl $content $schema)
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# Optimize for output formats
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let optimized = ($mcp | optimize_content $validated)
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$optimized
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}
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---
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🚀 Killer MCP Features for BlazeFrame
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1. Interactive Content Creation
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./blaze create blog --ai-assisted
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# MCP: "What's your blog post about?"
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>
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> "Rust performance optimization"
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# MCP generates
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# - Title options
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# - Outline structure
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# - Frontmatter metadata
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# - Initial content draft
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# - Related images
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# - SEO keywords
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1. Automatic Documentation
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./blaze docs generate --from-code
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# MCP analyzes your codebase and
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# - Extracts API documentation
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# - Generates usage examples
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# - Creates tutorials
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# - Builds reference guides
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1. Content Migration Assistant
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./blaze migrate from-wordpress <https://oldblog.com>
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# MCP handles
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# - Content extraction
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# - Format conversion
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# - Asset downloading
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# - URL mapping
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# - SEO preservation
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1. Real-time Content Optimization
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./blaze optimize content --target "mobile email"
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# MCP performs
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# - Text simplification
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# - Image optimization
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# - Layout adjustments
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# - A/B test variations
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1. Intelligent Error Resolution
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# Build fails
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ERROR: Schema validation failed at line 42
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# MCP automatically suggests
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"The 'published_date' field should be ISO 8601 format.
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Would you like me to fix this? [Y/n]"
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# One-click fix
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./blaze fix --auto
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---
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💡 Advanced MCP Use Cases
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1. Content Intelligence Pipeline
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graph LR
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A[Raw Content] --> B[MCP Analysis]
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B --> C[Schema Validation]
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C --> D[Multi-format Generation]
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D --> E[SEO Optimization]
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E --> F[Performance Testing]
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F --> G[Deployment]
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1. AI-Powered Workflows
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# .blazeframe/workflows/ai-blog.yaml
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name: AI-Enhanced Blog Pipeline
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triggers:
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- on: content_created
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steps:
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- mcp_enhance:
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add_metadata: true
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generate_summary: true
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extract_keywords: true
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- mcp_generate:
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social_posts: true
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email_version: true
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- mcp_optimize:
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images: true
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seo: true
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- mcp_translate:
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languages: ["es", "fr", "de"]
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3. Schema Evolution with AI
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# MCP suggests schema improvements
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schema BlogPost:
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title: str
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author: str
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# MCP: "Add 'canonical_url' for SEO"
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# MCP: "Add 'schema_org' for structured data"
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# MCP: "Add 'social_image' for sharing"
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---
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🔧 Implementation Plan
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Phase 1: Basic MCP Integration
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1. Create MCP server for BlazeFrame
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2. Implement content generation tools
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3. Add schema validation assistance
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4. Basic error resolution
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Phase 2: Advanced Features
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1. Multi-format content generation
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2. Image generation with AI
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3. Performance optimization suggestions
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4. Migration tools
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Phase 3: Full AI Platform
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1. Real-time collaboration with AI
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2. Content strategy recommendations
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3. Automated A/B testing
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4. Predictive content performance
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---
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📊 MCP Benefits for BlazeFrame Users
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For Solo Developers
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- Never start from blank page
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- Automatic SEO optimization
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- Content ideas and variations
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- Error fixes without Stack Overflow
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For Teams
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- Consistent content quality
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- Automated documentation
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- Knowledge sharing through AI
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- Reduced review cycles
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For Enterprises
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- Compliance checking
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- Multi-language support
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- Brand voice consistency
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- Content governance
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---
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🎮 Example MCP Commands
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# Generate entire site from description
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./blaze init --ai "Create a developer portfolio with blog"
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# Fix all issues automatically
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./blaze fix --all --ai
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# Generate week's worth of content
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./blaze content plan --days 7 --topic "Rust tutorials"
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# Optimize for specific audience
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./blaze optimize --audience "senior developers"
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# Create variations for testing
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./blaze variants create --count 3 --test "conversion"
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---
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⏺ User approved Claude's plan:
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⎿ MCP Integration Plan for BlazeFrame
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Proposed Implementation:
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1. Create MCP Server (blazeframe-mcp-server/)
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- Content generation tools
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- Schema intelligence
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- Error resolution
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- Asset optimization
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2. Integrate with Core (framework/mcp/)
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- MCP connection manager
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- Tool registration system
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- AI workflow pipelines
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3. Enhanced CLI Commands
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- blaze create --ai-assisted
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- blaze fix --auto
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- blaze optimize --ai
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- blaze generate docs
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4. Key Features to Implement
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- Schema generation from natural language
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- Automatic content enhancement
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- Multi-format generation
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- Intelligent error fixes
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- SEO optimization
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- Image generation
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This would transform BlazeFrame from a static site generator into an AI-powered content platform that helps developers at every step
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of the content creation process.
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