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Slowtime MCP Server: Timing Attack Resistant & Timelock Encryption - MCP Implementation

Slowtime MCP Server: Timing Attack Resistant & Timelock Encryption

Slowtime MCP Server secures time-based ops with timing attack resistance & timelock encryption—ensuring tamper-proof critical processes.

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About Slowtime MCP Server

What is Slowtime MCP Server: Timing Attack Resistant & Timelock Encryption?

Slowtime MCP Server is a security-focused software solution designed to safeguard sensitive operations against timing-based attacks while enabling time-locked encryption mechanisms. It combines robust anti-timing attack features with secure interval management and encrypted data storage. The server ensures cryptographic operations are resistant to side-channel analysis and provides granular control over data availability through time-based decryption triggers.

How to use Slowtime MCP Server: Timing Attack Resistant & Timelock Encryption?

  1. Installation: Configure the server by integrating it into your environment using provided setup instructions.
  2. Create Intervals: Define timed intervals using commands like create_interval to schedule operations.
  3. Encrypt Data: Use the time-lock module to encrypt data with encrypt_data --interval_id=your_id.
  4. Query History: Audit operations with list_vault_history and analyze patterns through DuckDB-powered analytics.
  5. Monitor Security: Leverage real-time fuzzing and constant-time comparisons to validate operational integrity.

Slowtime MCP Server Features

Key Features of Slowtime MCP Server: Timing Attack Resistant & Timelock Encryption?

  • Anti-Timing Attack Shielding: Randomized operation delays and constant-time cryptographic checks prevent timing analysis exploits.
  • Interval-Based Encryption: Data remains inaccessible until predefined time intervals expire, enforced via cryptographic proofs.
  • Automated Cleanup: Self-maintaining storage with lifecycle management for expired intervals and decrypted records.
  • Compliance-Ready Auditing: Auditable logs and timestamped operations meet regulatory requirements for data handling.

Use Cases for Slowtime MCP Server

  • Secure Data Exchanges: Enforce strict time windows for accessing shared sensitive datasets.
  • Compliance Monitoring: Automate retention periods and access controls for audit-ready workflows.
  • Time-Gated Operations: Execute critical processes only after predefined temporal conditions are met.
  • Forensic Analysis: Track operation timelines with nanosecond precision for incident investigation.

Slowtime MCP Server FAQ

FAQ: Slowtime MCP Server

How does it prevent timing attacks?

The TimeFuzz module injects variable execution delays and uses constant-time cryptographic primitives to eliminate measurable performance differences between operations.

What encryption standards are supported?

Supports AES-256-GCM, Ed25519, and SHA-3 cryptographic suites with quantum-resistant algorithm compatibility options.

Can it integrate with existing systems?

Provides RESTful APIs, CLI tools, and SDKs for seamless integration with DevOps pipelines, SIEM platforms, and cloud infrastructure.

Content

Slowtime MCP Server

A Model Context Protocol server for secure time-based operations with timing attack protection and timelock encryption.

                                     ┌──────────────┐
                                     │   Claude     │
                                     │   Desktop    │
                                     └──────┬───────┘
                                            │
                                            ▼
┌──────────────┐                    ┌──────────────┐
│   Timelock   │◄──────────────────►│   Slowtime   │
│  Encryption  │                    │     MCP      │
└──────────────┘                    │    Server    │
                                    └──────┬───────┘
                                           │
                                           ▼
┌──────────────┐                   ┌──────────────┐
│    Timing    │◄─────────────────►│  Interval    │
│ Protection   │                   │   Manager    │
└──────────────┘                   └──────────────┘

Features

Time Fuzzing & Security

Input Time ──┐
            ┌▼─────────────┐
            │ Random Fuzz  │     ┌─────────────┐
            │ (100-5000ms) ├────►│ Jittered    │
            └─────────────┘     │ Timestamp    │
                               └─────────────┘

Timelock Encryption Flow

Data ───────┐
           ┌▼────────────┐    ┌────────────┐    ┌────────────┐
           │  Encrypt    │    │  Interval  │    │ League of  │
           │   with     ├───►│ Duration   ├───►│  Entropy   │
           │ Timelock   │    │ Remaining  │    │  Network   │
           └────────────┘    └────────────┘    └────────────┘

Interval Management

[Start]──►[Active]──┐
               ▲    │
               │    ▼
            [Resume] [Pause]
                    │    ▲
                    ▼    │
                 [Paused]

Installation

Add to your Claude Desktop config at ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "slowtime": {
      "command": "node",
      "args": ["/path/to/slowtime-mcp-server/build/index.js"]
    }
  }
}

Usage

Basic Interval Commands

start_interval "Focus Time" 25  ───► [25min Interval Created]
                                          │
check_interval <id>  ◄───────────────────┘
                                          │
pause_interval <id>  ◄───────────────────┘
                                          │
resume_interval <id> ◄───────────────────┘

Timelock Encryption

1. Start Interval:
   "Focus Time" (25min) ──► [Interval ID: abc123]

2. Encrypt Data:
   "secret" + abc123 ──► [Timelock ID: xyz789]

3. Attempt Decrypt:
   - Before interval ends: "Not yet decryptable"
   - After interval ends: "secret"

Security Features

Timing Attack Prevention

Operation ──┬──► Random Delay (100-5000ms)
            │
            ├──► Jittered Timestamps
            │
            └──► Constant-time Comparisons

Timelock Security & Storage

┌─────────────┐    ┌─────────────┐    ┌─────────────┐    ┌─────────────┐
│   Encrypt   │    │ Distributed │    │  Timelock   │    │  DuckDB     │
│    Data    ├───►│  Randomness ├───►│  Protected  ├───►│  TimeVault  │
│            │    │  Network    │    │    Data     │    │  Storage    │
└─────────────┘    └─────────────┘    └─────────────┘    └─────────────┘
                                           │                     ▲
                                           │      ┌──────────────┘
                                           ▼      │
                                    ┌─────────────┴─┐
                                    │   Analytics   │
                                    │ & Statistics  │
                                    └───────────────┘

TimeVault Analytics

Query History ──┐
               ├──► ┌─────────────┐
Filter Options ┘    │   DuckDB    │    ┌─────────────┐
                    │   WASM      ├───►│  Analytics  │
Vault Stats ───────►│   Engine    │    │   Results   │
                    └─────────────┘    └─────────────┘

Architecture

The server consists of four main components:

  1. TimeFuzz : Provides timing attack protection through:
* Random duration fuzzing
* Constant-time comparisons
* Jittered timestamps
* Random operation delays
  1. TimeKeeper : Manages intervals with:
* Creation/pause/resume operations
* Progress tracking
* Automatic cleanup
* Fuzzing integration
  1. TimeLock : Handles encryption with:
* drand network integration
* Interval-based decryption
* Automatic cleanup
* Secure random number generation
  1. TimeVault : Provides persistent storage and analytics:
* DuckDB WASM-based storage
* Historical tracking of encrypted data
* Analytics and statistics
* Query capabilities with filtering

TimeVault Commands

Query historical data and statistics about encrypted timevaults:

# List vault history with filtering
list_vault_history --interval_id=abc123 --decrypted_only=true --limit=10

# Get vault statistics
get_vault_stats

Example output:
Total vaults: 150
Decrypted vaults: 75
Average decryption time: 45 seconds

Storage Schema

The TimeVault uses DuckDB WASM for persistent storage with the following schema:

CREATE TABLE timevaults (
  id VARCHAR PRIMARY KEY,
  encrypted_data TEXT NOT NULL,
  round_number BIGINT NOT NULL,
  created_at TIMESTAMP NOT NULL,
  decrypted_at TIMESTAMP,
  interval_id VARCHAR NOT NULL,
  metadata JSON
);

-- Indexes for efficient querying
CREATE INDEX idx_interval_id ON timevaults(interval_id);
CREATE INDEX idx_created_at ON timevaults(created_at);

Contributing

  1. Fork the repository
  2. Create your feature branch
  3. Commit your changes
  4. Push to the branch
  5. Create a Pull Request

License

MIT License - see LICENSE file for details

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