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Slowtime MCP Server

MCP Server

Secure time‑based operations with fuzzed timing and interval encryption

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Updated 29 days ago

About

Slowtime MCP Server protects against timing attacks by adding random delays, jittered timestamps, and constant‑time comparisons while enabling timed data encryption and interval management for secure focus sessions.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Slowtime MCP Server

Slowtime is a Model Context Protocol (MCP) server that introduces robust time‑based security primitives into AI workflows. It protects data and operations against timing attacks, provides encrypted “timelock” payloads that can only be released after a configurable interval, and manages timed intervals for productivity or workflow control. By adding these capabilities to an AI assistant like Claude, developers can build applications that enforce deadlines, secure sensitive data until a future moment, or create deterministic time‑based triggers—all while keeping the system resistant to side‑channel attacks.

The server’s core value lies in its dual focus on security and workflow orchestration. It exposes a set of interval commands (, , , ) that let users create and manage timed sessions. The same interval identifiers are then used as “keys” in the timelock encryption flow: data is encrypted with a key that includes the interval ID, and decryption attempts before the interval expires return an error. This pattern is useful for time‑locked contracts, delayed disclosures, or gated content that should only become available after a user‑defined period.

Key features include:

  • Time fuzzing and jitter: Every operation is wrapped in a random delay (100‑5000 ms) and timestamp jitter to thwart timing side‑channel analysis.
  • Constant‑time comparisons: All cryptographic checks are performed in a way that prevents attackers from inferring secrets through timing.
  • Distributed randomness: The timelock encryption leverages a network of random nodes to seed the encryption, making it harder for an adversary to predict or manipulate the unlock time.
  • Persistent storage with analytics: Encrypted payloads and interval metadata are stored in a DuckDB “TimeVault,” enabling fast queries over historical usage, audit trails, and performance metrics.

Real‑world scenarios that benefit from Slowtime include:

  • Delayed content release: A developer can schedule a blog post or API key to become active only after a set interval, ensuring compliance with embargoes.
  • Productivity tools: Integrating the interval commands into a note‑taking or task manager lets users enforce Pomodoro‑style focus periods that the AI can monitor and remind them about.
  • Secure time‑locked messaging: Users can send encrypted messages that self‑unlock after a chosen period, useful for confidential communication or contractual agreements.

In practice, an AI assistant can call Slowtime’s MCP endpoints to create a 25‑minute focus interval, encrypt a secret note with that interval’s ID, and then return the encrypted blob to the user. The assistant can later query the interval status or prompt the user when decryption becomes possible, all while the underlying system guarantees that no side‑channel timing leakage can reveal the unlock time. This combination of deterministic timing, cryptographic protection, and easy integration makes Slowtime a standout MCP server for developers who need precise, secure control over time‑dependent operations.