folder-mcp

# folder-mcp Completed Tasks This document tracks all completed development phases and their detailed implementations. ## 📋 Table of Contents - [Completed Phases Summary](#completed-phases-summary) - [Phase 1: Foundation (Steps 1-8)](#phase-1-foundation-steps-1-8) - [Phase 2: File Parsing (Steps 9-13)](#phase-2-file-parsing-steps-9-13) - [Phase 3: Text Processing & Embeddings (Steps 14-16)](#phase-3-text-processing--embeddings-steps-14-16) - [Phase 4: Vector Search (Steps 17-19)](#phase-4-vector-search-steps-17-19) - [Phase 5: MCP Integration (Steps 20-22)](#phase-5-mcp-integration-steps-20-22) - [Phase 6: Real-time & Configuration (Steps 23-24)](#phase-6-real-time--configuration-steps-23-24) - [Phase 7: Production Ready & Configuration Systems (Steps 25-28)](#phase-7-production-ready--configuration-systems-steps-25-28) - [Phase 8: Transport Foundation & Core Endpoints (Steps 29-34)](#phase-8-transport-foundation--core-endpoints-steps-29-34) --- ## Completed Phases Summary ### ✅ Phase 1: Foundation (Steps 1-8) - COMPLETED **Status**: ✅ COMPLETED - **Step 1**: Initialize TypeScript Project - **Step 2**: Create CLI Executable - **Step 3**: Implement Commander.js CLI - **Step 4**: Recursive File Listing - **Step 5**: File Type Filtering - **Step 6**: Cache Directory Setup - **Step 7**: File Fingerprinting System - **Step 8**: Cache Status Detection ### ✅ Phase 2: File Parsing (Steps 9-13) - COMPLETED **Status**: ✅ COMPLETED - **Step 9**: Text File Parser - **Step 10**: PDF Parser Integration - **Step 11**: Word Document Parser - **Step 12**: Excel Parser - **Step 13**: PowerPoint Parser ### ✅ Phase 3: Text Processing & Embeddings (Steps 14-16) - COMPLETED **Status**: ✅ COMPLETED - **Step 14**: Smart Text Chunking - **Step 15**: Embedding Model Setup - **Step 15.1**: GPU-Enabled Embedding Model - **Step 16**: Batch Embedding Generation ### ✅ Phase 4: Vector Search (Steps 17-19) - COMPLETED **Status**: ✅ COMPLETED - **Step 17**: FAISS Vector Index - **Step 18**: Similarity Search Function - **Step 19**: Search CLI Command ### ✅ Phase 5: MCP Integration (Steps 20-22) - COMPLETED **Status**: ✅ COMPLETED - **Step 20**: MCP Server Scaffold - **Step 21**: Search Tool Implementation - **Step 22**: Context Enhancement ### ✅ Phase 6: Real-time & Configuration (Steps 23-24) - COMPLETED **Status**: ✅ COMPLETED - **Step 23**: File Watcher Integration - **Step 24**: Configuration System ### ✅ Phase 7: Production Ready & Configuration Systems (Steps 25-28) - COMPLETED **Status**: ✅ COMPLETED - **Step 25**: Error Recovery - **Step 26**: Runtime Configuration Structure - **Step 27**: Configuration Caching System - **Step 28**: Configuration Validation System ### ✅ Phase 8: Transport Foundation & Core Endpoints (Steps 29-34) - COMPLETED **Status**: ✅ COMPLETED - June 14, 2025 - **Step 29**: Transport Layer Foundation - Complete transport system architecture with security foundation - **Step 30**: Protocol Buffer Schema Design - Complete proto schema with all 13 endpoints and TypeScript integration - **Step 31**: Local Dual-Protocol Transport Implementation - Complete gRPC and MCP dual-protocol local transport - **Steps 32-34**: Advanced Endpoints Implementation - Completed ahead of schedule as part of Step 31 --- ## Phase 1: Foundation (Steps 1-8) ### Step 1: Initialize TypeScript Project **Task**: Create project structure with TypeScript configuration **Success Criteria**: - ✅ package.json with name "folder-mcp" - ✅ tsconfig.json configured for Node.js - ✅ src/index.ts with console.log("Hello World") - ✅ npm run build compiles successfully - ✅ npm start prints "Hello World" ### Step 2: Create CLI Executable **Task**: Make globally installable CLI tool **Success Criteria**: - ✅ bin field in package.json points to CLI entry - ✅ Shebang line in CLI file: #!/usr/bin/env node - ✅ npm link makes folder-mcp available globally - ✅ Running folder-mcp prints "Hello World" ### Step 3: Implement Commander.js CLI **Task**: Add command structure with Commander **Success Criteria**: - ✅ folder-mcp --version shows version - ✅ folder-mcp --help shows available commands - ✅ folder-mcp index <folder> command exists - ✅ Shows error for missing folder argument ### Step 4: Recursive File Listing **Task**: List all files in target folder using glob **Success Criteria**: - ✅ folder-mcp index ./test-folder lists all files - ✅ Shows relative paths from target folder - ✅ Displays total file count - ✅ Handles non-existent folders gracefully ### Step 5: File Type Filtering **Task**: Filter by supported extensions **Success Criteria**: - ✅ Only shows: .txt, .md, .pdf, .docx, .xlsx, .pptx - ✅ Case-insensitive extension matching - ✅ Shows count by file type (e.g., "PDFs: 5, Word: 3") - ✅ Ignores hidden files and folders ### Step 6: Cache Directory Setup **Task**: Create and validate cache structure **Success Criteria**: - ✅ Creates .folder-mcp in target folder - ✅ Creates subdirectories: embeddings/, metadata/, vectors/ - ✅ Creates version.json with tool version and timestamp - ✅ Handles permission errors with clear message ### Step 7: File Fingerprinting System **Task**: Generate unique identifiers for files **Success Criteria**: - ✅ Generates SHA-256 hash for each file's content - ✅ Creates fingerprint object: {hash, path, size, modified} - ✅ Saves fingerprints to .folder-mcp/index.json - ✅ Pretty-prints JSON for debugging ### Step 8: Cache Status Detection **Task**: Identify what needs processing **Success Criteria**: - ✅ Loads previous index.json if exists - ✅ Detects new files (not in cache) - ✅ Detects modified files (hash changed) - ✅ Detects deleted files (in cache but not on disk) - ✅ Shows summary: "5 new, 2 modified, 1 deleted" --- ## Phase 2: File Parsing (Steps 9-13) ### Step 9: Text File Parser **Task**: Extract content from .txt and .md files **Success Criteria**: - ✅ Reads files with UTF-8 encoding - ✅ Handles different line endings (CRLF/LF) - ✅ Stores in .folder-mcp/metadata/[hash].json - ✅ Metadata includes: content, type, originalPath - ✅ Processes 10MB file without memory issues ### Step 10: PDF Parser Integration **Task**: Extract text from PDFs using pdf-parse **Success Criteria**: - ✅ Extracts all text content from PDFs - ✅ Preserves page numbers in metadata - ✅ Handles encrypted PDFs gracefully (skip with warning) - ✅ Caches extracted content with page structure - ✅ Shows progress for large PDFs ### Step 11: Word Document Parser **Task**: Extract content from .docx using mammoth **Success Criteria**: - ✅ Extracts paragraphs with style information - ✅ Identifies headers vs body text - ✅ Preserves list structure - ✅ Extracts table data as structured JSON - ✅ Handles corrupted files without crashing ### Step 12: Excel Parser **Task**: Extract data from .xlsx using xlsx library **Success Criteria**: - ✅ Extracts all sheets with names - ✅ Preserves cell formulas as metadata - ✅ Converts tables to JSON arrays - ✅ Handles merged cells appropriately - ✅ Includes sheet names in chunk metadata ### Step 13: PowerPoint Parser **Task**: Extract content from .pptx files **Success Criteria**: - ✅ Extracts text from all slides - ✅ Preserves slide numbers and titles - ✅ Includes speaker notes - ✅ Extracts text from shapes and text boxes - ✅ Orders content logically per slide --- ## Phase 3: Text Processing & Embeddings (Steps 14-16) ### Step 14: Smart Text Chunking **Task**: Split documents into semantic chunks **Success Criteria**: - ✅ Splits on paragraph boundaries - ✅ Chunks between 200-500 tokens (using simple tokenizer) - ✅ 10% overlap between consecutive chunks - ✅ Never splits mid-sentence - ✅ Preserves metadata (source, position, type) ### Step 15: Embedding Model Setup **Task**: Initialize Nomic Embed model **Success Criteria**: - ✅ Downloads model on first run - ✅ Shows download progress - ✅ Caches model in user directory - ✅ Generates 768-dim embedding for test string - ✅ Handles offline mode gracefully **Implementation**: `src/embeddings/index.ts` - EmbeddingModel class with lazy initialization - Progress tracking for model downloads - User cache directory: `~/.cache/folder-mcp-models` - Full ES module conversion completed - Comprehensive test system with batch embedding support ### Step 15.1: GPU-Enabled Embedding Model **Task**: Replace Nomic Embed with GPU-accelerated Ollama embeddings **Success Criteria**: - ✅ Detects if Ollama CLI is installed and running - ✅ Provides clear installation instructions if not available - ✅ Uses Ollama with `nomic-embed-text` model for GPU acceleration - ✅ Falls back to original Nomic Embed v1.5 if Ollama unavailable - ✅ Maintains same API interface for backward compatibility - ✅ Shows GPU/CPU usage status during embedding generation - ✅ Handles Ollama service startup and model downloading **Implementation**: `src/embeddings/index.ts` - GPU-accelerated Ollama integration with automatic detection - Graceful fallback to CPU-based transformers when Ollama unavailable - Performance monitoring and GPU status reporting - Comprehensive testing utilities (`test-cli.ts`, `test-switching.ts`) - Configuration system supporting multiple embedding models ### Step 16: Batch Embedding Generation **Task**: Generate embeddings for all chunks **Success Criteria**: - ✅ Processes chunks in batches of 32 - ✅ Shows progress bar with ETA - ✅ Saves embeddings to .folder-mcp/embeddings/[hash].json - ✅ Only processes new/modified files - ✅ Handles interruption gracefully (resume capable) **Implementation**: `src/processing/indexing.ts` - Batch processing with configurable batch size (default 32) - Progress tracking with ETA calculation and visual progress bar - Incremental processing - only generates embeddings for new/modified chunks - Graceful error handling with batch-level recovery - Resume capability through existing embedding detection - Performance statistics and timing reports --- ## Phase 4: Vector Search (Steps 17-19) ### Step 17: FAISS Vector Index **Task**: Create searchable vector index **Success Criteria**: - ✅ Initializes FAISS index with correct dimensions (768) - ✅ Adds all embeddings with numeric IDs - ✅ Saves index to .folder-mcp/vectors/index.faiss (binary format) - ✅ Saves ID mappings to mappings.json - ✅ Can load and search existing index with faiss.IndexFlatIP.read() **Implementation**: `src/search/index.ts` - VectorIndex class with FAISS IndexFlatIP backend - Binary index persistence with `.faiss` format for fast loading - ID mapping system linking vector indices to chunk metadata - Automatic vector dimension detection and validation - Graceful fallback from binary to JSON vectors when needed ### Step 18: Similarity Search Function **Task**: Implement vector similarity search **Success Criteria**: - ✅ Embeds query string with GPU-accelerated model - ✅ Returns top-K most similar chunks - ✅ Includes similarity scores (0-1 range with normalization) - ✅ Retrieves full chunk metadata - ✅ Handles empty index gracefully **Implementation**: `src/search/index.ts` - Inner product similarity search with FAISS IndexFlatIP - Query embedding generation using GPU-accelerated Ollama/CPU fallback - Score normalization from raw FAISS scores to 0-1 range - Automatic k adjustment when k > available vectors - Full chunk metadata retrieval with source file and line information ### Step 19: Search CLI Command **Task**: Add local search command **Success Criteria**: - ✅ `folder-mcp search <folder> <query>` works - ✅ Shows configurable results with -k parameter - ✅ Displays source file and location with line ranges - ✅ Shows content snippets with similarity scores - ✅ Works without starting server **Implementation**: `src/search/cli.ts`, `src/cli/commands.ts` - Interactive search command with progress feedback - Automatic index building when not present - Configurable result count with `-k` parameter - Rich result display showing scores, file paths, and content previews - Error handling for unindexed folders with helpful guidance --- ## Phase 5: MCP Integration (Steps 20-22) ### Step 20: MCP Server Scaffold **Task**: Create basic MCP server **Success Criteria**: - ✅ Server starts with `folder-mcp serve <folder>` - ✅ Listens on default port 3000 (configurable) - ✅ Implements MCP handshake protocol - ✅ Logs client connections - ✅ Graceful shutdown on Ctrl+C **Implementation**: `src/mcp/server.ts`, `src/cli/commands.ts` - MCP server class with stdio transport support - Basic file operations (read_file, search_files, list_files, get_folder_info) - Command-line interface with configurable port and transport options - Security features preventing access outside served folder - Graceful shutdown handling with SIGINT/SIGTERM ### Step 21: Search Tool Implementation **Task**: Add search_knowledge tool to MCP **Success Criteria**: - ✅ Tool appears in MCP capability list - ✅ Accepts parameters: query, top_k, threshold - ✅ Returns structured results with content and metadata - ✅ Handles concurrent requests - ✅ Includes source attribution **Implementation**: `src/mcp/server.ts` - Added search_knowledge tool to MCP server tools list - Implemented handleSearchKnowledge() method with parameter validation - Integrated with existing EmbeddingModel and VectorIndex infrastructure - MCP-compliant response format with structured content and metadata - Lazy initialization for performance with proper error handling - GPU-accelerated search via Ollama embeddings ### Step 22: Context Enhancement **Task**: Improve search results with context **Success Criteria**: - ✅ Includes previous/next chunk for context - ✅ Expands to full paragraph boundaries - ✅ Adds document outline (for structured docs) - ✅ Groups results by source document - ✅ Deduplicates overlapping results **Implementation**: `src/search/enhanced.ts` with `search_knowledge_enhanced` MCP tool - EnhancedVectorSearch class with contextual search functionality - getContextualChunks() method for previous/next chunk context retrieval - Paragraph boundary expansion with expandedContent logic - Document structure extraction for PowerPoint, Word, Excel, and text files - Result grouping by document in groupAndDeduplicateResults() method - Overlap deduplication using areChunksOverlapping() and deduplicateResults() - Full integration with MCP server including enhanced search tool - Comprehensive test coverage with 15/15 tests passing --- ## Phase 6: Real-time & Configuration (Steps 23-24) ### Step 23: File Watcher Integration **Task**: Auto-update on file changes **Success Criteria**: - ✅ Detects new files in watched folder - ✅ Detects modifications to existing files - ✅ Updates index incrementally - ✅ Logs update events - ✅ Debounces rapid changes (1-second delay) **Implementation**: `src/watch/index.ts`, `src/cli/commands.ts` - FolderWatcher class with chokidar integration for file system monitoring - File event handling for add, change, and unlink operations - Configurable debouncing with 1000ms default delay to handle rapid changes - Incremental processing that only updates changed files, preserving existing cache - Full file parsing pipeline integration (text, PDF, Word, Excel, PowerPoint) - Automatic embedding generation for modified files with GPU/CPU acceleration - Vector index rebuilding after changes to maintain search functionality - CLI command `folder-mcp watch <folder>` with customizable options: - `--debounce` for delay configuration (default: 1000ms) - `--batch-size` for embedding batch processing (default: 32) - `--verbose` and `--quiet` for logging control - Graceful shutdown handling with SIGINT/SIGTERM support and cleanup - Cross-platform compatibility with Windows-specific readline handling - Comprehensive error handling and logging at multiple verbosity levels ### Step 24: Configuration System **Task**: Add configuration file support **Success Criteria**: - ✅ Loads .folder-mcp.yaml from .folder-mcp folder - ✅ Configurable: chunk_size, overlap, model_name - ✅ Configurable: file_extensions, ignore_patterns - ✅ CLI args override config file - ✅ Validates configuration schema **Implementation**: `src/config/resolver.ts`, `src/config/local.ts`, `src/config/cli.ts` - Configuration priority system: CLI args > local config > global config - YAML-based local configuration files in `.folder-mcp/.folder-mcp.yaml` - Comprehensive configuration commands (`config init`, `config show`, `config set`, etc.) - Schema validation with detailed error messages - CLI options for all configurable parameters (`--chunk-size`, `--model`, `--show-config`, etc.) - Source tracking to show where each setting comes from (cli/local/global) - Global configuration defaults in `config.yaml` with multiple embedding models - Local configuration initialization and management system --- ## Phase 7: Production Ready & Configuration Systems (Steps 25-28) ### Step 25: Error Recovery **Task**: Comprehensive error handling **Success Criteria**: - ✅ Continues indexing after single file failure - ✅ Logs errors to .folder-mcp/errors.log - ✅ Retries failed embeddings (3 attempts) - ✅ Shows clear error summaries - ✅ Never leaves cache in corrupted state **Implementation Files**: - `src/utils/errorRecovery.ts` - Core error recovery system with ErrorRecoveryManager, AtomicFileOperations, and ResumableProgress - `src/processing/indexing.ts` - Integration of error recovery into file processing pipeline - `src/watch/index.ts` - Error recovery integration for real-time file watching - `src/mcp/server.ts` - Error recovery for MCP server operations - `tests/test-phase7-production.js` - Comprehensive test suite (11/11 tests passing) **Features Implemented**: - JSON-formatted error logging with detailed metadata (timestamp, operation, error type, stack trace, retry count) - Exponential backoff retry logic (3 retries with 1s/2s/4s delays for production, optimized 100ms delays for tests) - Atomic file operations to prevent cache corruption during concurrent access - Resumable progress tracking for interrupted operations (saves progress every file) - Integration across all major operations (file parsing, embedding generation, cache operations) - Intelligent test environment detection for 35x faster test execution - Comprehensive error summaries and statistics reporting - Never leaves cache in corrupted state - all operations are atomic or resumable ### Step 26: Runtime Configuration Structure **Task**: Create runtime configuration JSON with smart defaults **Success Criteria**: - ✅ Define runtime config schema (model, port, languages, etc.) - ✅ Generate default runtime.json with multilingual model - ✅ Set sensible defaults (chunk_size: 400, workers: CPU count) - ✅ Include all configurable parameters in structure - ✅ Create TypeScript interfaces for type safety - ✅ Document each configuration parameter purpose **Implementation**: `src/config/runtime.ts`, `src/config/system.ts`, `tests/test-phase8-ux.js` - Complete RuntimeConfig interface with all required sections: system, processing, server, ui, files, cache, metadata - Smart defaults with CPU count-based worker optimization and memory-based batch size optimization - System capabilities detection including CPU, memory, GPU, and software availability - Runtime configuration generation with hash-based change detection for re-indexing triggers - Comprehensive TypeScript interfaces with full type safety - Configuration optimization based on detected system performance tier (low/medium/high) - Cache-enabled runtime configuration with TTL and system profile caching - Full validation system with detailed error messages - Comprehensive test suite with 7 specific tests covering all aspects ### Step 27: Configuration Caching System **Task**: Implement configuration persistence and caching with Ollama integration **Success Criteria**: - ✅ Save runtime config to ~/.folder-mcp/last-runtime.json - ✅ Load previous runtime on startup if exists - ✅ Cache system profile in ~/.folder-mcp/system-profile.json - ✅ Store Ollama embedding model list with 24-hour expiry - ✅ Fetch embedding models directly from Ollama API - ✅ Implement cache invalidation mechanism - ✅ Handle corrupted cache files gracefully **Implementation**: - `src/config/runtime.ts` - `src/config/system.ts` - `src/config/ollama.ts` - `src/config/cache.ts` - `src/config/resolver.ts` - `tests/test-phase8-ux.js` All success criteria are fully implemented and tested. See `tests/test-phase8-ux.js` for comprehensive test coverage. ### Step 28: Configuration Validation System **Task**: Implement comprehensive configuration validation **Success Criteria**: - ✅ Implement comprehensive configuration validation - ✅ Add path validation for folders and files - ✅ Add numeric validation for parameters - ✅ Add network validation for ports and hosts - ✅ Add model validation for embedding models - ✅ Implement validation summary generation - ✅ Add validation error handling - ✅ Add validation caching - ✅ Add validation tests - ✅ Add validation documentation **Implementation Files:** - `src/config/validation/index.ts` - Main validation system - `src/config/validation/path.ts` - Path validation - `src/config/validation/numeric.ts` - Numeric validation - `src/config/validation/network.ts` - Network validation - `src/config/validation/model.ts` - Model validation - `src/config/validation/summary.ts` - Validation summary - `src/config/validation/cache.ts` - Validation caching - `src/config/validation/errors.ts` - Validation errors - `src/config/validation/types.ts` - Validation types - `src/config/validation/utils.ts` - Validation utilities - `src/config/validation/constants.ts` - Validation constants - `src/config/validation/index.test.ts` - Validation tests - `src/config/validation/README.md` - Validation documentation --- ## Phase 8: Transport Foundation & Core Endpoints (Steps 29-34) ### Step 29: Transport Layer Foundation **Task**: Prepare for gRPC transport system architecture with security foundation **Status**: ✅ **COMPLETED** - June 13, 2025 **Success Criteria**: ✅ All Completed - ✅ Install gRPC dependencies (@grpc/grpc-js, @grpc/proto-loader) - ✅ Design Protocol Buffer schema for all endpoints - ✅ Create transport layer interface definitions - ✅ Implement transport factory pattern - ✅ Add transport configuration to runtime config - ✅ Create transport selection logic (local/remote/http) - ✅ Update MCP server to "hello world" baseline - ✅ Add security CLI commands foundation **Security CLI Commands**: ✅ All Implemented - ✅ `folder-mcp serve <folder>` - Auto-generate API key on first run - ✅ `folder-mcp generate-key <folder>` - Generate new API key - ✅ `folder-mcp rotate-key <folder>` - Rotate existing API key - ✅ `folder-mcp show-key <folder>` - Display current API key - ✅ `folder-mcp revoke-key <folder>` - Revoke API key access **Implementation Files**: - `src/transport/` - Complete transport layer (7 files) - `proto/folder-mcp.proto` - Protocol buffer schema - `src/interfaces/cli/commands/` - Security CLI commands (5 files) - `src/generated/` - Generated TypeScript types - Updated configuration and DI modules ### Step 30: Protocol Buffer Schema Design **Task**: Define comprehensive .proto files for all endpoints **Status**: ✅ **COMPLETED** - June 13, 2025 **Claude Desktop Integration**: ✅ **CONFIRMED WORKING** **Success Criteria**: ✅ All Completed - ✅ Create folder-mcp.proto with all 13 service endpoints - ✅ Define message types for all request/response pairs - ✅ Include proper field validation and documentation - ✅ Generate TypeScript types from proto files - ✅ Validate schema against endpoint specification - ✅ Add token limit annotations in proto comments - ✅ All tests pass with new proto definitions - ✅ TypeScript compiles without ANY errors - ✅ Proto schema validates against gRPC standards - ✅ Claude Desktop runs the MCP server without issues **Implementation Files**: - `proto/folder-mcp.proto` - Complete protocol buffer schema with all 13 endpoints - `src/generated/` - Generated TypeScript types and validation utilities - `folder-mcp.d.ts` - Complete TypeScript interface definitions - `folder-mcp.js` - JavaScript implementation - `message-builders.ts` - Type-safe message construction helpers - `type-guards.ts` - Runtime type validation functions - `validation-utils.ts` - Field validation utilities - `src/transport/typed-service.ts` - Type-safe service wrapper - `src/transport/typed-transport.ts` - DI-compliant typed transport with factory functions - `src/config/schema.ts` - Enhanced configuration with proto enum integration - `scripts/generate-proto-types.js` - Enhanced type generation script - `STEP_30_IMPLEMENTATION_PLAN.md` - Complete implementation documentation - `STEP_30_COMPLETION_SUMMARY.md` - Final completion summary - `CLAUDE_DESKTOP_INTEGRATION_CONFIRMED.md` - Claude Desktop test results **Architectural Achievements**: - ✅ 250+ tests passing (100% success rate) - ✅ Clean TypeScript compilation with full type safety - ✅ DI compliance maintained across all new components - ✅ Performance benchmarks met - ✅ Proto-enum integration in configuration system - ✅ Type-safe transport layer with factory pattern - ✅ Claude Desktop MCP server integration confirmed working ### Step 31: Local Dual-Protocol Transport Implementation (Including Steps 32-34) **Task**: Implement local transport layer supporting both MCP (RPC) and gRPC protocols with all 13 endpoints **Status**: ✅ **COMPLETED** - June 14, 2025 **Final Results**: Complete dual-protocol implementation with all endpoints and tools **Success Criteria**: ✅ All Completed - ✅ MCP transport: JSON-RPC over stdio for Claude Desktop integration (WORKING) - ✅ Local gRPC transport: Unix Domain Socket (Windows named pipe) with filesystem permissions - ✅ Complete all 13 gRPC service endpoints with validation and error handling - ✅ gRPC service implementation using generated proto types - ✅ Integration with existing DI container and configuration system - ✅ Local transport health checks and graceful shutdown - ✅ Implement corresponding MCP tools for Claude Desktop compatibility (10 tools) - ✅ Shared domain service integration for both protocols - ✅ All 277 tests pass with dual transport implementation - ✅ TypeScript compiles without ANY errors - ✅ Claude Desktop integration maintains compatibility (MCP protocol) - ✅ Enhanced CLI commands for dual transport management **All Endpoints Implemented** (Originally planned as Steps 32-34): - **✅ Core Search Endpoints**: SearchDocs, SearchChunks with MCP tools - **✅ Navigation Endpoints**: ListFolders, ListDocumentsInFolder with MCP tools - **✅ Document Content Endpoints**: GetDocMetadata, DownloadDoc, GetChunks with MCP tools - **✅ Summarization Endpoints**: GetDocSummary, BatchDocSummary with MCP tools - **✅ Specialized Endpoints**: TableQuery, IngestStatus, RefreshDoc, GetEmbedding with MCP tools **Implementation Achievements**: **Complete Dual-Protocol Success** - **✅ MCP Protocol**: JSON-RPC over stdio working perfectly with Claude Desktop - **✅ gRPC Protocol**: Unix Domain Socket (Windows named pipes) for high-performance local access - **✅ All 13 gRPC Services**: Full implementation with error handling and validation - **✅ All 10 MCP Tools**: Complete equivalent functionality for Claude Desktop - **✅ Shared Domain Services**: Both protocols access same document intelligence services - **✅ Local-Only Security**: Filesystem permissions provide security for both protocols - **✅ Protocol Optimization**: MCP for interactive chat, gRPC for bulk operations - **✅ Performance Optimized**: Direct memory access for gRPC, chat-optimized responses for MCP **Key Technical Achievements**: - ✅ Working MCP server with Claude Desktop integration - ✅ Complete local gRPC server with all 13 endpoints implemented - ✅ Complete MCP tool set with equivalent functionality to gRPC endpoints - ✅ Unix Domain Socket transport with optimal performance - ✅ Type-safe service implementations using generated proto types - ✅ Dual transport health monitoring and graceful shutdown - ✅ Enhanced CLI commands for transport testing - ✅ API key system foundation (ready for future remote access) - ✅ Authentication middleware (inactive for local transport, ready for remote) **Implementation Files**: - `src/grpc/server.ts` - Complete gRPC server with all 13 endpoints - `src/grpc/services/` - All service implementations with domain integration - `src/grpc/auth/` - API key system and authentication middleware - `src/interfaces/cli/commands/` - Enhanced CLI with transport testing - `src/mcp/handlers/` - Complete MCP tool implementations **Note**: Steps 32-34 were combined into Step 32 as they were implemented together. ### Step 32: Complete Endpoints Implementation **Task**: Implement all remaining gRPC endpoints and corresponding MCP tools (originally planned as separate steps) **Status**: ✅ **COMPLETED** - Completed as part of Step 31 implementation **Success Criteria**: ✅ All Completed **Core Search Endpoints** (Originally Step 32): - ✅ gRPC SearchDocs endpoint with semantic document discovery - ✅ gRPC SearchChunks endpoint with chunk-level search - ✅ MCP search_documents tool for Claude Desktop - ✅ MCP search_chunks tool for Claude Desktop - ✅ Token limiting and similarity scoring - ✅ Metadata filtering and pagination **Navigation Endpoints** (Originally Step 33): - ✅ gRPC ListFolders endpoint with folder hierarchy - ✅ gRPC ListDocumentsInFolder endpoint with pagination - ✅ MCP list_folders tool for Claude Desktop - ✅ MCP list_documents tool for Claude Desktop - ✅ Path security and validation - ✅ Document metadata integration **Document Content Endpoints** (Originally Step 34): - ✅ gRPC GetDocMetadata endpoint with document structure - ✅ gRPC DownloadDoc endpoint with binary streaming - ✅ gRPC GetChunks endpoint with chunk retrieval - ✅ MCP get_document_metadata tool for Claude Desktop - ✅ MCP get_document_content tool for Claude Desktop - ✅ Content-type detection and validation **Additional Endpoints Completed**: - ✅ **Summarization Endpoints**: GetDocSummary, BatchDocSummary with MCP tools - ✅ **Specialized Endpoints**: TableQuery, IngestStatus, RefreshDoc, GetEmbedding with MCP tools **Shared Implementation Features**: - ✅ Shared domain service integration for both protocols - ✅ Streaming support for large files - ✅ Error handling for corrupted files - ✅ Sorting and filtering capabilities