3GPP MCP Server

# Architecture Guide - V2 Lightweight Guidance Approach ## System Overview The v2 3GPP MCP Server is designed as a **knowledge-driven guidance system** that provides intelligent research assistance rather than data storage and retrieval. The architecture prioritizes expertise transfer, educational value, and efficient guidance generation. ## Architecture Principles ### 1. **Knowledge Over Data** - Store structured knowledge about 3GPP, not specification content - Maintain relationships and patterns, not text documents - Focus on intelligence and understanding, not information retrieval ### 2. **Guidance Over Answers** - Provide research strategies rather than final answers - Teach methodology rather than deliver results - Enable user learning rather than replace user thinking ### 3. **Lightweight Over Comprehensive** - Optimize for speed and efficiency - Minimize resource requirements - Prioritize essential guidance capabilities ### 4. **Adaptive Over Static** - Adjust guidance based on user context and expertise level - Learn from interaction patterns - Evolve knowledge base based on user needs ## High-Level Architecture ```mermaid graph TB subgraph "Client Applications" CD[Claude Desktop] CA[Custom Applications] WI[Web Interface] end subgraph "MCP Protocol Layer" MCP[MCP Server Core] TH[Tools Handler] RH[Resources Handler] PH[Prompts Handler] end subgraph "Guidance Intelligence Layer" GE[Guidance Engine] KB[Knowledge Base] SG[Strategy Generator] CP[Context Provider] TG[Template Generator] end subgraph "Knowledge Layer" SM[Specification Map] RM[Relationship Map] CM[Concept Map] PM[Pattern Map] TM[Template Map] end CD --> MCP CA --> MCP WI --> MCP MCP --> TH MCP --> RH MCP --> PH TH --> GE RH --> KB PH --> TG GE --> KB GE --> SG GE --> CP KB --> SM KB --> RM KB --> CM SG --> PM TG --> TM ``` ## Component Architecture ### MCP Server Core **File**: `src/index.ts` **Role**: Lightweight MCP protocol implementation focused on guidance ```typescript class GPPGuidanceMCPServer { private server: MCP.Server private guidanceEngine: GuidanceEngine private knowledgeBase: KnowledgeBase private templateGenerator: TemplateGenerator } ``` **Key Differences from V1**: - No large dataset management - No complex search infrastructure - Focus on rapid guidance generation - Educational response formatting ### Guidance Engine **File**: `src/utils/guidance-engine.ts` **Role**: Core intelligence for providing 3GPP research guidance ```typescript interface GuidanceEngine { analyzeQuery(query: string): Promise<QueryAnalysis> generateGuidance(analysis: QueryAnalysis): Promise<GuidanceResponse> adaptToUserLevel(guidance: GuidanceResponse, level: ExpertiseLevel): Promise<GuidanceResponse> } ``` **Architecture**: ```mermaid sequenceDiagram participant User participant GE as Guidance Engine participant KB as Knowledge Base participant SG as Strategy Generator participant TG as Template Generator User->>GE: Research Query GE->>GE: Analyze Intent GE->>KB: Get Relevant Knowledge KB-->>GE: 3GPP Structure & Relationships GE->>SG: Generate Research Strategy SG-->>GE: Research Approach GE->>TG: Format Response TG-->>GE: Educational Template GE-->>User: Structured Guidance ``` ### Knowledge Base **File**: `src/utils/knowledge-base.ts` **Role**: Structured 3GPP domain knowledge without specification text ```typescript interface KnowledgeBase { specifications: SpecificationMap relationships: RelationshipMap concepts: ConceptMap protocols: ProtocolMap procedures: ProcedureMap searchPatterns: SearchPatternMap } ``` **Knowledge Structure**: ```typescript interface SpecificationMetadata { id: string // "TS 24.501" title: string // "5G NAS Protocol" series: string // "24" release: string // "Rel-16" purpose: string // What this spec defines keyTopics: string[] // Main topics covered relationships: string[] // Related specifications searchKeywords: string[] // Effective search terms typicalQuestions: string[] // Common research questions implementationGuidance: string[] // Implementation considerations } ``` ### Strategy Generator **File**: `src/utils/strategy-generator.ts` **Role**: Creates targeted research strategies based on user queries ```typescript interface StrategyGenerator { createSearchStrategy(topic: string): Promise<SearchStrategy> generateReadingSequence(specs: string[]): Promise<ReadingSequence> suggestKeywords(domain: string): Promise<KeywordSuggestion[]> mapRequirementsToSpecs(requirements: string[]): Promise<SpecificationMapping> } ``` **Strategy Types**: - **Exploratory**: For broad topics and learning - **Targeted**: For specific implementation questions - **Comparative**: For analyzing differences between approaches - **Troubleshooting**: For debugging and problem-solving ### Template Generator **File**: `src/utils/template-generator.ts` **Role**: Formats guidance into educational, actionable responses ```typescript interface TemplateGenerator { formatSpecificationGuidance(spec: SpecificationMetadata): Promise<string> createResearchPlan(strategy: SearchStrategy): Promise<string> generateComparisonGuide(specs: string[]): Promise<string> buildImplementationRoadmap(requirements: string[]): Promise<string> } ``` **Template Categories**: - **Discovery Templates**: Help users find relevant specifications - **Learning Templates**: Structured educational content - **Analysis Templates**: Comparative and analytical guidance - **Implementation Templates**: Practical implementation guidance ## Data Architecture ### Knowledge Representation Instead of storing specification text, v2 maintains structured knowledge: ```typescript interface StructuredKnowledge { // Specification organization series: { "21": { name: "Requirements", description: "Service requirements", workingGroup: "SA1" } "24": { name: "Protocols", description: "Core network protocols", workingGroup: "CT1" } "36": { name: "LTE Radio", description: "LTE radio access", workingGroup: "RAN2" } "38": { name: "5G Radio", description: "5G NR radio access", workingGroup: "RAN2" } } // Protocol relationships protocolStack: { "NAS": { layer: "L3", protocols: ["Registration", "Session"], specs: ["24.301", "24.501"] } "RRC": { layer: "L3", protocols: ["Connection", "Mobility"], specs: ["36.331", "38.331"] } "PDCP": { layer: "L2", protocols: ["Compression", "Security"], specs: ["36.323", "38.323"] } } // Common research patterns patterns: { "authentication": { startingSpecs: ["33.501", "24.501"], keywords: ["SUCI", "5G-AKA", "authentication"], readingOrder: ["architecture", "procedures", "implementation"] } } } ``` ### Memory Optimization **Efficient Storage**: - **Compact Representations**: Use IDs and references instead of full text - **Lazy Loading**: Load knowledge sections on demand - **Caching Strategy**: Cache frequently used patterns and templates - **Memory Limits**: Target <100MB total memory usage **Example Efficient Structure**: ```typescript class CompactKnowledge { private specMap: Map<string, number> = new Map() // ID to index mapping private specData: SpecificationMetadata[] = [] // Compact array storage private relationships: number[][] = [] // Index-based relationships getSpecification(id: string): SpecificationMetadata | null { const index = this.specMap.get(id) return index !== undefined ? this.specData[index] : null } } ``` ## Performance Architecture ### Response Generation Pipeline **Sub-second Response Targets**: ```mermaid graph LR A[Query] --> B[Parse Intent: <50ms] B --> C[Knowledge Lookup: <100ms] C --> D[Strategy Generation: <200ms] D --> E[Template Formatting: <100ms] E --> F[Response: <500ms total] ``` **Optimization Strategies**: - **Pre-computed Templates**: Common guidance patterns cached - **Intent Classification**: Fast query categorization - **Knowledge Indexing**: Efficient lookup structures - **Response Caching**: Cache similar guidance responses ### Concurrent Handling **Stateless Design**: ```typescript class StatelessGuidanceEngine { // No instance state - all context passed in requests async generateGuidance(query: UserQuery, context: RequestContext): Promise<GuidanceResponse> { // Thread-safe, stateless processing } } ``` **Scalability Features**: - **No Shared State**: Each request is independent - **Minimal Memory**: <5MB per concurrent request - **Fast Startup**: <2 seconds initialization - **High Throughput**: 1000+ requests/second capacity ## Tool Architecture ### Core Guidance Tools #### `guide_specification_search` **Purpose**: Help users formulate effective specification searches ```typescript interface SpecificationSearchGuidance { suggestedSpecs: SpecificationSuggestion[] searchStrategy: SearchStrategy keywords: string[] tips: string[] } ``` **Implementation**: ```typescript async handleGuideSearch(args: SearchGuidanceArgs): Promise<MCPResponse> { const analysis = await this.analyzeSearchIntent(args.query) const suggestions = await this.knowledgeBase.getSuggestedSpecs(analysis) const strategy = await this.strategyGenerator.createSearchStrategy(analysis) return this.templateGenerator.formatSearchGuidance({ suggestions, strategy, explanation: this.explainReasoning(analysis), nextSteps: this.suggestNextSteps(strategy) }) } ``` #### `explain_3gpp_structure` **Purpose**: Provide educational content about 3GPP organization ```typescript interface GPPStructureExplanation { seriesOverview: SeriesDescription[] workingGroups: WorkingGroupInfo[] releaseTimeline: ReleaseInfo[] relationships: SpecificationRelationship[] } ``` #### `map_requirements_to_specs` **Purpose**: Help users map technical requirements to appropriate specifications ```typescript interface RequirementMapping { primarySpecs: string[] // Main specifications to check supportingSpecs: string[] // Additional relevant specs readingOrder: string[] // Suggested sequence keyTopics: string[] // Important topics to focus on implementation: string[] // Implementation considerations } ``` #### `generate_research_strategy` **Purpose**: Create comprehensive research approaches for complex topics ```typescript interface ResearchStrategy { approach: string // Overall strategy description phases: ResearchPhase[] // Step-by-step research phases resources: string[] // Recommended tools and resources timeline: string // Estimated time requirements deliverables: string[] // Expected outputs } ``` ### Resource Architecture #### `3gpp://knowledge/series` **Description**: Comprehensive guide to 3GPP specification series ```typescript interface SeriesKnowledge { series: { [key: string]: { name: string description: string workingGroup: string typicalContent: string[] whenToUse: string[] keySpecs: string[] } } } ``` #### `3gpp://knowledge/protocols` **Description**: Protocol relationship mapping and guidance ```typescript interface ProtocolKnowledge { protocols: { [key: string]: { fullName: string layer: string purpose: string relatedProtocols: string[] implementationSpecs: string[] commonQuestions: string[] } } } ``` #### `3gpp://knowledge/research-patterns` **Description**: Common research patterns and methodologies ```typescript interface ResearchPatterns { patterns: { [key: string]: { description: string applicableScenarios: string[] steps: ResearchStep[] expectedOutcomes: string[] commonPitfalls: string[] } } } ``` ## Integration Architecture ### MCP Protocol Compliance **Lightweight MCP Implementation**: ```typescript class LightweightMCPServer { private tools: Map<string, GuidanceTool> = new Map() private resources: Map<string, KnowledgeResource> = new Map() private prompts: Map<string, EducationalPrompt> = new Map() // Minimal overhead MCP handlers async handleToolCall(request: ToolCallRequest): Promise<ToolResponse> { const tool = this.tools.get(request.name) return tool ? await tool.execute(request.arguments) : this.errorResponse(request.name) } } ``` ### Client Integration Patterns **Claude Desktop Configuration**: ```json { "mcpServers": { "3gpp-guidance": { "command": "node", "args": ["dist/index.js"], "cwd": "/path/to/3gpp-mcp-server-v2", "description": "Lightweight 3GPP research guidance" } } } ``` **Custom Application Integration**: ```typescript // Minimal integration overhead const guidanceClient = new MCPClient("3gpp-guidance") await guidanceClient.connect() const guidance = await guidanceClient.callTool('guide_specification_search', { query: 'NAS authentication procedures', userLevel: 'intermediate' }) ``` ## Security & Privacy Architecture ### Minimal Attack Surface **Security Benefits of Lightweight Design**: - **No Large Datasets**: No sensitive specification content stored - **Read-Only Knowledge**: Knowledge base is static and read-only - **Stateless Processing**: No user data persistence - **Simple Deployment**: Fewer components to secure **Security Measures**: ```typescript interface SecurityControls { inputValidation: { maxQueryLength: 1000 sanitizeInput: boolean rateLimiting: boolean } outputSecurity: { preventCodeInjection: boolean sanitizeResponses: boolean limitResponseSize: boolean } } ``` ### Privacy Design **Privacy-First Approach**: - **No Query Logging**: Queries are not stored or logged - **No User Tracking**: No persistent user identification - **No External Calls**: All processing happens locally - **No Data Collection**: No usage analytics or data gathering ## Monitoring Architecture ### Lightweight Monitoring **Essential Metrics**: ```typescript interface LightweightMetrics { performance: { responseTime: Histogram // <500ms target throughput: Counter // Requests per second errorRate: Counter // Error percentage } usage: { toolUsage: Counter // Which tools are popular queryPatterns: Counter // Common query types userSatisfaction: Gauge // Response quality feedback } system: { memoryUsage: Gauge // <100MB target cpuUsage: Gauge // CPU efficiency uptime: Counter // System availability } } ``` **Health Monitoring**: ```typescript interface HealthChecks { knowledgeBase: () => Promise<boolean> // Knowledge base accessibility responseGeneration: () => Promise<boolean> // Can generate responses memoryUsage: () => Promise<boolean> // Memory within limits responseTime: () => Promise<boolean> // Response time acceptable } ``` This architecture provides a sustainable, educational, and efficient foundation for 3GPP research guidance while maintaining the simplicity and performance benefits of the MCP protocol design philosophy.