Skip to main content
Glama

auto_save_context

Automatically saves and compresses AI session context for backup, including progress, decisions, and code snippets, to preserve work and enable recovery.

Instructions

commit|checkpoint|backup|compress|auto-save - Auto-save and compress context

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urgencyYesUrgency level
contextTypeYesType of context to save
sessionIdNoCurrent session identifier
summaryNoBrief summary of current context
fullContextNoFull context to compress and save
compressNoEnable smart compression (default: true)

Implementation Reference

  • The primary handler function that executes the auto_save_context tool. It compresses context if provided, saves it to MemoryManager with priority based on urgency, and returns a success message with compression stats if applicable.
    export async function autoSaveContext(args: { urgency: string; contextType: string; sessionId?: string; summary?: string; fullContext?: string; compress?: boolean; }): Promise<ToolResult> { const { urgency, contextType, sessionId, summary, fullContext, compress = true } = args; try { const memoryManager = MemoryManager.getInstance(); let contextToSave = summary || ''; let compressionStats = null; // Apply smart compression if full context provided and compression enabled if (fullContext && compress) { const targetTokens = urgency === 'critical' ? 8000 : urgency === 'high' ? 7000 : 4000; const compressionResult = ContextCompressor.compress(fullContext, targetTokens); contextToSave = compressionResult.compressed; compressionStats = { originalTokens: ContextCompressor.estimateTokens(fullContext), compressedTokens: ContextCompressor.estimateTokens(compressionResult.compressed), ratio: Math.round(compressionResult.compressionRatio * 100), removed: compressionResult.removedSections.length }; } else if (fullContext) { contextToSave = fullContext; } const contextData = { timestamp: new Date().toISOString(), urgency, contextType, sessionId, summary, context: contextToSave, compressed: compress && !!fullContext, compressionStats }; const priority = urgency === 'high' || urgency === 'critical' ? 2 : urgency === 'medium' ? 1 : 0; const contextKey = sessionId ? `context:session_${sessionId}_${Date.now()}` : `context:${Date.now()}`; memoryManager.save(contextKey, JSON.stringify(contextData), 'context', priority); let resultText = `✓ Context saved: ${contextType} (${urgency})`; if (sessionId) resultText += `\nSession: ${sessionId}`; if (compressionStats) { resultText += `\nCompressed: ${compressionStats.originalTokens} → ${compressionStats.compressedTokens} tokens (${compressionStats.ratio}%)`; resultText += `\nRemoved: ${compressionStats.removed} low-priority sections`; } if (summary) resultText += `\n${summary}`; return { content: [{ type: 'text', text: resultText }] }; } catch (error) { return { content: [{ type: 'text', text: `✗ Error: ${error instanceof Error ? error.message : 'Unknown error'}` }] }; } }
  • Defines the tool schema including name, description, inputSchema for parameters like urgency and contextType, and annotations.
    export const autoSaveContextDefinition: ToolDefinition = { name: 'auto_save_context', description: 'commit|checkpoint|backup|compress|auto-save - Auto-save and compress context', inputSchema: { type: 'object', properties: { urgency: { type: 'string', description: 'Urgency level', enum: ['low', 'medium', 'high', 'critical'] }, contextType: { type: 'string', description: 'Type of context to save', enum: ['progress', 'decisions', 'code-snippets', 'debugging', 'planning'] }, sessionId: { type: 'string', description: 'Current session identifier' }, summary: { type: 'string', description: 'Brief summary of current context' }, fullContext: { type: 'string', description: 'Full context to compress and save' }, compress: { type: 'boolean', description: 'Enable smart compression (default: true)' } }, required: ['urgency', 'contextType'] }, annotations: { title: 'Auto-Save Context', audience: ['user', 'assistant'] } };
  • src/index.ts:104-160 (registration)
    Registers the autoSaveContextDefinition in the comprehensive tools array provided to the MCP server's listTools handler for tool discovery.
    const tools: ToolDefinition[] = [ // Time Utility Tools getCurrentTimeDefinition, // Semantic Code Analysis Tools (Serena-inspired) findSymbolDefinition, findReferencesDefinition, // Sequential Thinking Tools createThinkingChainDefinition, analyzeProblemDefinition, stepByStepAnalysisDefinition, breakDownProblemDefinition, thinkAloudProcessDefinition, formatAsPlanDefinition, // Browser Development Tools monitorConsoleLogsDefinition, inspectNetworkRequestsDefinition, // Memory Management Tools saveMemoryDefinition, recallMemoryDefinition, listMemoriesDefinition, deleteMemoryDefinition, searchMemoriesDefinition, updateMemoryDefinition, autoSaveContextDefinition, restoreSessionContextDefinition, prioritizeMemoryDefinition, startSessionDefinition, // Convention Tools getCodingGuideDefinition, applyQualityRulesDefinition, validateCodeQualityDefinition, analyzeComplexityDefinition, checkCouplingCohesionDefinition, suggestImprovementsDefinition, // Planning Tools generatePrdDefinition, createUserStoriesDefinition, analyzeRequirementsDefinition, featureRoadmapDefinition, // Prompt Enhancement Tools enhancePromptDefinition, analyzePromptDefinition, enhancePromptGeminiDefinition, // Reasoning Tools applyReasoningFrameworkDefinition, // UI Preview Tools previewUiAsciiDefinition ];
  • src/index.ts:648-649 (registration)
    Registers the handler dispatch in the central executeToolCall switch statement within the CallToolRequestSchema handler.
    case 'auto_save_context': return await autoSaveContext(args as any) as CallToolResult;
  • src/index.ts:59-59 (registration)
    Imports the handler function and tool definition from the implementation file.
    import { autoSaveContext, autoSaveContextDefinition } from './tools/memory/autoSaveContext.js';

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ssdeanx/ssd-ai'

If you have feedback or need assistance with the MCP directory API, please join our Discord server