MCP Self-Learning Server

Instructions

Implementation Reference

• mcp-self-learning-server.js:76-111 (handler)

  Core handler in LearningEngine that performs pattern analysis, feature extraction, pattern updating, learning cycle triggering, and persistence for the analyze_pattern tool logic
  async analyzePattern(interaction) { const pattern = { id: crypto.randomUUID(), timestamp: new Date().toISOString(), type: interaction.type, input: interaction.input, output: interaction.output, context: interaction.context, performance: interaction.performance, success: interaction.success }; // Store in memory buffer this.memoryBuffer.push(pattern); if (this.memoryBuffer.length > this.maxMemorySize) { await this.consolidateMemory(); } // Extract features const features = this.extractFeatures(pattern); // Update pattern recognition await this.updatePatterns(features); // Trigger learning if threshold met if (this.shouldTriggerLearning()) { await this.performLearningCycle(); } // Auto-save if interval elapsed if (this.shouldAutoSave()) { await this.saveToFile(); } this.emit('pattern-analyzed', pattern); return pattern;
• mcp-self-learning-server.js:1157-1169 (handler)

  MCP server tool handler for 'analyze_pattern' that extracts interaction, calls LearningEngine.analyzePattern, and returns results with features and recommendations
  async handleAnalyzePattern(args) { const { interaction } = args; const pattern = await this.learningEngine.analyzePattern(interaction); return { success: true, patternId: pattern.id, features: this.learningEngine.extractFeatures(pattern), recommendations: this.learningEngine.generateRecommendations({ features: this.learningEngine.extractFeatures(pattern), confidence: 0.5 }) };
• mcp-self-learning-server.js:1069-1071 (registration)

  Registration/dispatch in CallToolRequestSchema handler that routes 'analyze_pattern' calls to handleAnalyzePattern
  switch (name) { case 'analyze_pattern': result = await this.handleAnalyzePattern(args);
• mcp-self-learning-server.js:954-973 (registration)

  Tool registration in ListToolsRequestSchema including name, description, and input schema
  name: 'analyze_pattern', description: 'Analyze and learn from interaction patterns', inputSchema: { type: 'object', properties: { interaction: { type: 'object', properties: { type: { type: 'string' }, input: { type: 'string' }, output: { type: 'string' }, context: { type: 'object' }, performance: { type: 'object' }, success: { type: 'boolean' } }, required: ['type', 'input', 'output'] } }, required: ['interaction'] }
• mcp-self-learning-server.js:117-125 (helper)

  Key helper method called by analyzePattern to extract features like tool sequence, context, performance, embedding, and temporal patterns
  extractFeatures(pattern) { return { toolSequence: this.identifyToolSequence(pattern), contextualCues: this.extractContextualCues(pattern), performanceMetrics: this.calculatePerformanceMetrics(pattern), semanticEmbedding: this.generateSemanticEmbedding(pattern), temporalPatterns: this.identifyTemporalPatterns(pattern) }; }