MCP Self-Learning Server

Instructions

Implementation Reference

• mcp-self-learning-server.js:1017-1027 (registration)

  Registration of the optimize_tool in the MCP tools list, including name, description, and input schema requiring 'toolName' string.
  { name: 'optimize_tool', description: 'Get optimization suggestions for a specific tool', inputSchema: { type: 'object', properties: { toolName: { type: 'string' } }, required: ['toolName'] } },
• mcp-self-learning-server.js:1249-1271 (handler)

  The core handler function for optimize_tool that analyzes learning patterns for the specified tool, collects optimization recommendations, usage stats, and performance profile.
  async handleOptimizeTool(args) { const { toolName } = args; const recommendations = []; // Find patterns related to this tool for (const [key, pattern] of this.learningEngine.patterns) { if (pattern.features?.toolSequence?.includes(toolName)) { const optimizations = this.learningEngine.identifyOptimizations(pattern); recommendations.push(...optimizations); } } // Get usage statistics const usage = this.learningEngine.metrics.toolUsageFrequency.get(toolName) || 0; return { success: true, tool: toolName, usage, recommendations: [...new Set(recommendations)], // Deduplicate performanceProfile: this.generatePerformanceProfile(toolName) }; }
• mcp-self-learning-server.js:1365-1403 (helper)

  Helper method called by the handler to compute aggregated performance metrics (response time, success/error rates) for the tool from stored patterns.
  generatePerformanceProfile(toolName) { const profile = { averageResponseTime: 0, successRate: 0, errorRate: 0, peakUsageTime: null }; // Calculate from patterns let totalTime = 0; let successCount = 0; let errorCount = 0; let count = 0; for (const pattern of this.learningEngine.patterns.values()) { if (pattern.features?.toolSequence?.includes(toolName)) { if (pattern.features.performanceMetrics) { totalTime += pattern.features.performanceMetrics.responseTime; count++; } pattern.outcomes?.forEach(outcome => { if (outcome.success) successCount++; else errorCount++; }); } } if (count > 0) { profile.averageResponseTime = totalTime / count; const total = successCount + errorCount; if (total > 0) { profile.successRate = successCount / total; profile.errorRate = errorCount / total; } } return profile; }
• api/rest-server.js:122-122 (registration)

  REST API endpoint registration for /optimize which proxies to the MCP server's handleOptimizeTool.
  this.app.get('/optimize', this.handleOptimizeTool.bind(this));
• api/rest-server.js:303-314 (handler)

  REST wrapper handler that extracts tool_name from query params and delegates to the core MCP handler.
  async handleOptimizeTool(req, res) { try { const { tool_name } = req.query; const result = await this.mcpServer.handleOptimizeTool({ tool_name }); res.json(result); } catch (error) { logger.error('Optimize tool failed', { error: error.message }); res.status(500).json({ error: error.message }); } }