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MCP Memory Service

by doobidoo
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Python
Hybrid

MCP Memory Service

License: Apache 2.0 PyPI version Python CI/CD Downloads Last Commit GitHub stars Production Ready

Works with Claude Works with Cursor MCP Protocol Multi-Client Docker Issues Ask DeepWiki

Production-ready MCP memory service with zero database locks, hybrid backend (fast local + cloud sync), and intelligent memory search for AI assistants. Features v8.9.0 auto-configuration for multi-client access, 5ms local reads with background Cloudflare sync, Natural Memory Triggers with 85%+ accuracy, and OAuth 2.1 team collaboration. Works with Claude Desktop, VS Code, Cursor, Continue, and 13+ AI applications.

🚀 Quick Start (2 minutes)

🆕 Latest Release: v8.50.1 (Dec 14, 2025)

Critical Bug Fixes - Configuration & Installation

  • 🔧 MCP_EMBEDDING_MODEL Environment Variable Fixed - Custom embedding models now properly respected (PR #276, fixes #275)

  • 📦 Installation Script Backend Support - Added missing cloudflare/hybrid options, removed stale ChromaDB references (fixes #273)

  • 🌐 i18n Quality Analytics Complete - Added 125 translations across 5 languages (Spanish, French, German, Japanese, Korean)

  • ✅ User-Reported Issues Resolved - Both configuration bugs fixed in patch release

Previous Releases:

  • v8.50.0 - Fallback Quality Scoring (DeBERTa + MS-MARCO hybrid, technical content rescue, 20/20 tests passing)

  • v8.49.0 - DeBERTa Quality Classifier (absolute quality assessment, eliminates self-matching bias)

  • v8.48.4 - Cloudflare D1 Drift Detection Performance (10-100x faster queries, numeric comparison fix)

  • v8.48.3 - Code Execution Hook Fix - 75% token reduction now working (fixed time_filter parameter, Python warnings, venv detection)

  • v8.48.2 - HTTP Server Auto-Start & Time Parser Improvements (smart service management, "last N periods" support)

  • v8.48.1 - Critical Hotfix - Startup Failure Fix (redundant calendar import removed, immediate upgrade required)

  • v8.48.0 - CSV-Based Metadata Compression (78% size reduction, 100% sync success, metadata validation)

  • v8.47.1 - ONNX Quality Evaluation Bug Fixes (self-match fix, association pollution, sync queue overflow, realistic distribution)

  • v8.47.0 - Association-Based Quality Boost (connection-based enhancement, network effect leverage, metadata persistence)

  • v8.46.3 - Quality Score Persistence Fix (ONNX scores in hybrid backend, metadata normalization)

  • v8.46.2 - Session-Start Hook Crash Fix + Hook Installer Improvements (client-side tag filtering, isolated version metadata)

  • v8.46.1 - Windows Hooks Installer Fix + Quality System Integration (UTF-8 console configuration, backend quality scoring)

  • v8.45.3 - ONNX Ranker Model Export Fix (automatic model export, offline mode support, 7-16ms CPU performance)

  • v8.45.2 - Dashboard Dark Mode Consistency Fixes (global CSS overrides, Chart.js dark mode support)

  • v8.45.1 - Quality System Test Infrastructure Fixes (HTTP API router, storage retrieval, async test client)

  • v8.45.0 - Memory Quality System - AI-Driven Automatic Quality Scoring (ONNX-powered local SLM, multi-tier fallback, quality-based retention)

  • v8.44.0 - Multi-Language Expansion (Japanese, Korean, German, French, Spanish - 359 keys each, complete i18n coverage)

  • v8.43.0 - Internationalization & Quality Automation (English/Chinese i18n, Claude branch automation, quality gates)

  • v8.42.1 - MCP Resource Handler Fix (AttributeError with Pydantic AnyUrl objects)

  • v8.42.0 - Memory Awareness Enhancements (visible memory injection, quality session summaries, LLM-powered summarization)

  • v8.41.2 - Hook Installer Utility File Deployment (ALL 14 utilities copied, future-proof glob pattern)

  • v8.41.1 - Context Formatter Memory Sorting (recency sorting within categories, newest first)

  • v8.41.0 - Session Start Hook Reliability Improvements (error suppression, clean output, memory filtering, classification fixes)

  • v8.40.0 - Session Start Version Display (automatic version comparison, PyPI status labels)

  • v8.39.1 - Dashboard Analytics Bug Fixes: Three critical fixes (top tags filtering, recent activity display, storage report fields)

  • v8.39.0 - Performance Optimization: Storage-layer date-range filtering (10x faster analytics, 97% data transfer reduction)

  • v8.38.1 - Critical Hotfix: HTTP MCP JSON-RPC 2.0 compliance fix (Claude Code/Desktop connection failures resolved)

  • v8.38.0 - Code Quality: Phase 2b COMPLETE (~176-186 lines duplicate code eliminated, 10 consolidations)

  • v8.37.0 - Code Quality: Phase 2a COMPLETE (5 duplicate high-complexity functions eliminated)

  • v8.36.1 - Critical Hotfix: HTTP server startup crash fix (forward reference error in analytics.py)

  • v8.36.0 - Code Quality: Phase 2 COMPLETE (100% of target achieved, -39 complexity points)

  • v8.35.0 - Code Quality: Phase 2 Batch 1 (install.py, cloudflare.py, -15 complexity points)

  • v8.34.0 - Code Quality: Phase 2 Complexity Reduction (analytics.py refactored, 11 → 6-7 complexity)

  • v8.33.0 - Critical Installation Bug Fix + Code Quality Improvements (dead code cleanup, automatic MCP setup)

  • v8.32.0 - Code Quality Excellence: pyscn Static Analysis Integration (multi-layer QA workflow)

  • v8.31.0 - Revolutionary Batch Update Performance (21,428x faster memory consolidation)

  • v8.30.0 - Analytics Intelligence: Adaptive Charts & Critical Data Fixes (accurate trend visualization)

  • v8.28.1 - Critical HTTP MCP Transport JSON-RPC 2.0 Compliance Fix (Claude Code compatibility)

  • v8.28.0 - Cloudflare AND/OR Tag Filtering (unified search API, 3-5x faster hybrid sync)

  • v8.27.1 - Critical Hotfix: Timestamp Regression (created_at preservation during metadata sync)

  • v8.26.0 - Revolutionary MCP Performance (534,628x faster tools, 90%+ cache hit rate)

  • v8.25.0 - Hybrid Backend Drift Detection (automatic metadata sync, bidirectional awareness)

  • v8.24.4 - Code Quality Improvements from Gemini Code Assist (regex sanitization, DOM caching)

  • v8.24.3 - Test Coverage & Release Agent Improvements (tag+time filtering tests, version history fix)

  • v8.24.2 - CI/CD Workflow Fixes (bash errexit handling, exit code capture)

  • v8.24.1 - Test Infrastructure Improvements (27 test failures resolved, 63% → 71% pass rate)

  • v8.24.0 - PyPI Publishing Enabled (automated package publishing via GitHub Actions)

  • v8.23.1 - Stale Virtual Environment Prevention System (6-layer developer protection)

  • v8.23.0 - Consolidation Scheduler via Code Execution API (88% token reduction)

📖 Full Details: CHANGELOG.md | All Releases

# One-command installation with auto-configuration git clone https://github.com/doobidoo/mcp-memory-service.git cd mcp-memory-service && python install.py # Choose option 4 (Hybrid - RECOMMENDED) when prompted # Installer automatically configures: # ✅ SQLite pragmas for concurrent access # ✅ Cloudflare credentials for cloud sync # ✅ Claude Desktop integration # Done! Fast local + cloud sync with zero database locks

PyPI Installation (Simplest)

Install from PyPI:

# Install latest version from PyPI pip install mcp-memory-service # Or with uv (faster) uv pip install mcp-memory-service

Then configure Claude Desktop by adding to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or equivalent:

{ "mcpServers": { "memory": { "command": "memory", "args": ["server"], "env": { "MCP_MEMORY_STORAGE_BACKEND": "hybrid" } } } }

For advanced configuration with the interactive installer, clone the repo and run python scripts/installation/install.py.

Developer Setup (Contributing)

For development and contributing, use editable install to ensure source code changes take effect immediately:

# Clone repository git clone https://github.com/doobidoo/mcp-memory-service.git cd mcp-memory-service # Create and activate virtual environment python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate # CRITICAL: Editable install (code changes take effect immediately) pip install -e . # Verify editable mode (should show source directory, not site-packages) pip show mcp-memory-service | grep Location # Expected: Location: /path/to/mcp-memory-service/src # Start development server uv run memory server

⚠️ Important: Editable install (-e flag) ensures MCP servers load from source code, not stale site-packages. Without this, source changes won't be reflected until you reinstall the package.

Version Mismatch Check:

# Verify installed version matches source code python scripts/validation/check_dev_setup.py

See CLAUDE.md for complete development guidelines.

Traditional Setup Options

Universal Installer (Most Compatible):

# Clone and install with automatic platform detection git clone https://github.com/doobidoo/mcp-memory-service.git cd mcp-memory-service # Lightweight installation (SQLite-vec with ONNX embeddings - recommended) python install.py # Add full ML capabilities (torch + sentence-transformers for advanced features) python install.py --with-ml # Install with hybrid backend (SQLite-vec + Cloudflare sync) python install.py --storage-backend hybrid

📝 Installation Options Explained:

  • Default (recommended): Lightweight SQLite-vec with ONNX embeddings - fast, works offline, <100MB dependencies

  • --with-ml: Adds PyTorch + sentence-transformers for advanced ML features - heavier but more capable

  • --storage-backend hybrid: Hybrid backend with SQLite-vec + Cloudflare sync - best for multi-device access

Docker (Fastest):

# For MCP protocol (Claude Desktop) docker-compose up -d # For HTTP API + OAuth (Team Collaboration) docker-compose -f docker-compose.http.yml up -d

Smithery (Claude Desktop):

# Auto-install for Claude Desktop npx -y @smithery/cli install @doobidoo/mcp-memory-service --client claude

Related MCP server: MCP DuckDB Knowledge Graph Memory Server

⚠️ v6.17.0+ Script Migration Notice

Updating from an older version? Scripts have been reorganized for better maintainability:

  • Recommended: Use python -m mcp_memory_service.server in your Claude Desktop config (no path dependencies!)

  • Alternative 1: Use uv run memory server with UV tooling

  • Alternative 2: Update path from scripts/run_memory_server.py to scripts/server/run_memory_server.py

  • Backward compatible: Old path still works with a migration notice

⚠️ First-Time Setup Expectations

On your first run, you'll see some warnings that are completely normal:

  • "WARNING: Failed to load from cache: No snapshots directory" - The service is checking for cached models (first-time setup)

  • "WARNING: Using TRANSFORMERS_CACHE is deprecated" - Informational warning, doesn't affect functionality

  • Model download in progress - The service automatically downloads a ~25MB embedding model (takes 1-2 minutes)

These warnings disappear after the first successful run. The service is working correctly! For details, see our First-Time Setup Guide.

🐍 Python 3.13 Compatibility Note

sqlite-vec may not have pre-built wheels for Python 3.13 yet. If installation fails:

  • The installer will automatically try multiple installation methods

  • Consider using Python 3.12 for the smoothest experience: brew install python@3.12

  • Alternative: Use Cloudflare backend with --storage-backend cloudflare

  • See Troubleshooting Guide for details

🍎 macOS SQLite Extension Support

macOS users may encounter enable_load_extension errors with sqlite-vec:

  • System Python on macOS lacks SQLite extension support by default

  • Solution: Use Homebrew Python: brew install python && rehash

  • Alternative: Use pyenv: PYTHON_CONFIGURE_OPTS='--enable-loadable-sqlite-extensions' pyenv install 3.12.0

  • Fallback: Use Cloudflare or Hybrid backend: --storage-backend cloudflare or --storage-backend hybrid

  • See Troubleshooting Guide for details

🎯 Memory Awareness in Action

Intelligent Context Injection - See how the memory service automatically surfaces relevant information at session start:

What you're seeing:

  • 🧠 Automatic memory injection - 8 relevant memories found from 2,526 total

  • 📂 Smart categorization - Recent Work, Current Problems, Additional Context

  • 📊 Git-aware analysis - Recent commits and keywords automatically extracted

  • 🎯 Relevance scoring - Top memories scored at 100% (today), 89% (8d ago), 84% (today)

  • ⚡ Fast retrieval - SQLite-vec backend with 5ms read performance

  • 🔄 Background sync - Hybrid backend syncing to Cloudflare

Result: Claude starts every session with full project context - no manual prompting needed.

📚 Complete Documentation

👉 Visit our comprehensive

🧠 v7.1.3 Natural Memory Triggers (Latest)

  • Natural Memory Triggers v7.1.3 Guide - Intelligent automatic memory awareness

    • ✅ 85%+ trigger accuracy with semantic pattern detection

    • ✅ Multi-tier performance (50ms instant → 150ms fast → 500ms intensive)

    • ✅ CLI management system for real-time configuration

    • ✅ Git-aware context integration for enhanced relevance

    • ✅ Zero-restart installation with dynamic hook loading

🆕 v7.0.0 OAuth & Team Collaboration

🧬 v8.23.0+ Memory Consolidation

  • 📊 Memory Consolidation System Guide - NEW! Automated memory maintenance with real-world performance metrics

    • ✅ Dream-inspired consolidation (decay scoring, association discovery, compression, archival)

    • ✅ 24/7 automatic scheduling (daily/weekly/monthly via HTTP server)

    • ✅ Token-efficient Code Execution API (90% token reduction vs MCP tools)

    • ✅ Real-world performance data (4-6 min for 2,495 memories with hybrid backend)

    • ✅ Three manual trigger methods (HTTP API, MCP tools, Python API)

🚀 Setup & Installation

🧠 Advanced Topics

📂 Internal Documentation

✨ Key Features

🏆 Production-Ready Reliability 🆕 v8.9.0

  • Hybrid Backend - Fast 5ms local SQLite + background Cloudflare sync (RECOMMENDED default)

    • Zero user-facing latency for cloud operations

    • Automatic multi-device synchronization

    • Graceful offline operation

  • Zero Database Locks - Concurrent HTTP + MCP server access works flawlessly

    • Auto-configured SQLite pragmas (busy_timeout=15000,cache_size=20000)

    • WAL mode with proper multi-client coordination

    • Tested: 5/5 concurrent writes succeeded with no errors

  • Auto-Configuration - Installer handles everything

    • SQLite pragmas for concurrent access

    • Cloudflare credentials with connection testing

    • Claude Desktop integration with hybrid backend

    • Graceful fallback to sqlite_vec if cloud setup fails

📄 Document Ingestion System v8.6.0

  • Interactive Web UI - Drag-and-drop document upload with real-time progress

  • Multiple Formats - PDF, TXT, MD, JSON with intelligent chunking

  • Document Viewer - Browse chunks, view metadata, search content

  • Smart Tagging - Automatic tagging with length validation (max 100 chars)

  • Optional semtools - Enhanced PDF/DOCX/PPTX parsing with LlamaParse

  • Security Hardened - Path traversal protection, XSS prevention, input validation

  • 7 New Endpoints - Complete REST API for document management

🔐 Enterprise Authentication & Team Collaboration

  • OAuth 2.1 Dynamic Client Registration - RFC 7591 & RFC 8414 compliant

  • Claude Code HTTP Transport - Zero-configuration team collaboration

  • JWT Authentication - Enterprise-grade security with scope validation

  • Auto-Discovery Endpoints - Seamless client registration and authorization

  • Multi-Auth Support - OAuth + API keys + optional anonymous access

🧠 Intelligent Memory Management

  • Semantic search with vector embeddings

  • Natural language time queries ("yesterday", "last week")

  • Tag-based organization with smart categorization

  • Memory consolidation with dream-inspired algorithms

  • Document-aware search - Query across uploaded documents and manual memories

🔗 Universal Compatibility

  • Claude Desktop - Native MCP integration

  • Claude Code - HTTP transport + Memory-aware development with hooks

    • 🪟 Windows Support: /session-start command for manual session initialization (workaround for issue #160)

    • 🍎 macOS/Linux: Full automatic SessionStart hooks + slash command

  • VS Code, Cursor, Continue - IDE extensions

  • 13+ AI applications - REST API compatibility

💾 Flexible Storage

  • Hybrid 🌟 (RECOMMENDED) - Fast local SQLite + background Cloudflare sync (v8.9.0 default)

    • 5ms local reads with zero user-facing latency

    • Multi-device synchronization

    • Zero database locks with auto-configured pragmas

    • Automatic backups and cloud persistence

  • SQLite-vec - Local-only storage (lightweight ONNX embeddings, 5ms reads)

    • Good for single-user offline use

    • No cloud dependencies

  • Cloudflare - Cloud-only storage (global edge distribution with D1 + Vectorize)

    • Network-dependent performance

Note: All heavy ML dependencies (PyTorch, sentence-transformers) are now optional to dramatically reduce build times and image sizes. SQLite-vec uses lightweight ONNX embeddings by default. Install with --with-ml for full ML capabilities.

🚀 Production Ready

  • Cross-platform - Windows, macOS, Linux

  • Service installation - Auto-start background operation

  • HTTPS/SSL - Secure connections with OAuth 2.1

  • Docker support - Easy deployment with team collaboration

  • Interactive Dashboard - Web UI at http://127.0.0.1:8888/ for complete management

💡 Basic Usage

📄 Document Ingestion (v8.6.0+)

# Start server with web interface uv run memory server --http # Access interactive dashboard open http://127.0.0.1:8888/ # Upload documents via CLI curl -X POST http://127.0.0.1:8888/api/documents/upload \ -F "file=@document.pdf" \ -F "tags=documentation,reference" # Search document content curl -X POST http://127.0.0.1:8888/api/search \ -H "Content-Type: application/json" \ -d '{"query": "authentication flow", "limit": 10}'

🔗 Team Collaboration with OAuth (v7.0.0+)

# Start OAuth-enabled server for team collaboration export MCP_OAUTH_ENABLED=true uv run memory server --http # Claude Code team members connect via HTTP transport claude mcp add --transport http memory-service http://your-server:8000/mcp # → Automatic OAuth discovery, registration, and authentication

🧠 Memory Operations

# Store a memory uv run memory store "Fixed race condition in authentication by adding mutex locks" # Search for relevant memories uv run memory recall "authentication race condition" # Search by tags uv run memory search --tags python debugging # Check system health (shows OAuth status) uv run memory health

🔧 Configuration

Claude Desktop Integration

Recommended approach - Add to your Claude Desktop config (~/.claude/config.json):

{ "mcpServers": { "memory": { "command": "python", "args": ["-m", "mcp_memory_service.server"], "env": { "MCP_MEMORY_STORAGE_BACKEND": "sqlite_vec" } } } }

Alternative approaches:

// Option 1: UV tooling (if using UV) { "mcpServers": { "memory": { "command": "uv", "args": ["--directory", "/path/to/mcp-memory-service", "run", "memory", "server"], "env": { "MCP_MEMORY_STORAGE_BACKEND": "sqlite_vec" } } } } // Option 2: Direct script path (v6.17.0+) { "mcpServers": { "memory": { "command": "python", "args": ["/path/to/mcp-memory-service/scripts/server/run_memory_server.py"], "env": { "MCP_MEMORY_STORAGE_BACKEND": "sqlite_vec" } } } }

Environment Variables

Hybrid Backend (v8.9.0+ RECOMMENDED):

# Hybrid backend with auto-configured pragmas export MCP_MEMORY_STORAGE_BACKEND=hybrid export MCP_MEMORY_SQLITE_PRAGMAS="busy_timeout=15000,cache_size=20000" # Cloudflare credentials (required for hybrid) export CLOUDFLARE_API_TOKEN="your-token" export CLOUDFLARE_ACCOUNT_ID="your-account" export CLOUDFLARE_D1_DATABASE_ID="your-db-id" export CLOUDFLARE_VECTORIZE_INDEX="mcp-memory-index" # Enable HTTP API export MCP_HTTP_ENABLED=true export MCP_HTTP_PORT=8000 # Security export MCP_API_KEY="your-secure-key"

SQLite-vec Only (Local):

# Local-only storage export MCP_MEMORY_STORAGE_BACKEND=sqlite_vec export MCP_MEMORY_SQLITE_PRAGMAS="busy_timeout=15000,cache_size=20000"

🏗️ Architecture

┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │ AI Clients │ │ MCP Memory │ │ Storage Backend │ │ │ │ Service v8.9 │ │ │ │ • Claude Desktop│◄──►│ • MCP Protocol │◄──►│ • Hybrid 🌟 │ │ • Claude Code │ │ • HTTP Transport│ │ (5ms local + │ │ (HTTP/OAuth) │ │ • OAuth 2.1 Auth│ │ cloud sync) │ │ • VS Code │ │ • Memory Store │ │ • SQLite-vec │ │ • Cursor │ │ • Semantic │ │ • Cloudflare │ │ • 13+ AI Apps │ │ Search │ │ │ │ • Web Dashboard │ │ • Doc Ingestion │ │ Zero DB Locks ✅│ │ (Port 8888) │ │ • Zero DB Locks │ │ Auto-Config ✅ │ └─────────────────┘ └─────────────────┘ └─────────────────┘

🛠️ Development

Project Structure

mcp-memory-service/ ├── src/mcp_memory_service/ # Core application │ ├── models/ # Data models │ ├── storage/ # Storage backends │ ├── web/ # HTTP API & dashboard │ └── server.py # MCP server ├── scripts/ # Utilities & installation ├── tests/ # Test suite └── tools/docker/ # Docker configuration

Contributing

  1. Fork the repository

  2. Create a feature branch

  3. Make your changes with tests

  4. Submit a pull request

See CONTRIBUTING.md for detailed guidelines.

🆘 Support

📊 In Production

Real-world metrics from active deployments:

  • 1700+ memories stored and actively used across teams

  • 5ms local reads with hybrid backend (v8.9.0)

  • Zero database locks with concurrent HTTP + MCP access (v8.9.0)

    • Tested: 5/5 concurrent writes succeeded

    • Auto-configured pragmas prevent lock errors

  • <500ms response time for semantic search (local & HTTP transport)

  • 65% token reduction in Claude Code sessions with OAuth collaboration

  • 96.7% faster context setup (15min → 30sec)

  • 100% knowledge retention across sessions and team members

  • Zero-configuration setup success rate: 98.5% (OAuth + hybrid backend)

🏆 Recognition

  • Smithery Verified MCP Server

  • Glama AI Featured AI Tool

  • Production-tested across 13+ AI applications

  • Community-driven with real-world feedback and improvements

📄 License

Apache License 2.0 - see LICENSE for details.

Ready to supercharge your AI workflow? 🚀

👉 Start with our Installation Guide or explore the Wiki for comprehensive documentation.

Transform your AI conversations into persistent, searchable knowledge that grows with you.

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