# ChronoSphere-AI-Date-Time-MCP-NodeJS-API
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## BLUF (Bottom Line Up Front)
ChronoSphere provides an AI‑enabled Model Context Protocol (MCP) API built with TypeScript/Node.js, delivering precise, locale‑aware date and time data across timezones for real‑time AI agent operations. This repository offers a robust solution for managing date and time complexities in AI-driven applications.
## Table of Contents
- [Introduction](#introduction)
- [Architecture](#architecture)
- [Setup and Usage](#setup-and-usage)
- [AI Agent Directives](#ai-agent-directives)
- [Contributing](#contributing)
- [Security](#security)
## Introduction
ChronoSphere-AI-Date-Time-MCP-NodeJS-API is designed to simplify date and time management in AI applications by providing a standardized API for accessing and manipulating date and time data. The API is built using Node.js and TypeScript, ensuring scalability, maintainability, and performance.
## Architecture
mermaid
graph LR;
A[Client] -->| Request |> B(API Gateway);
B -->| Route |> C[ChronoSphere API];
C -->| Process |> D[AI Engine];
D -->| Response |> C;
C -->| Response |> B;
B -->| Response |> A;
## Setup and Usage
### Prerequisites
- Node.js 18.x or higher
- TypeScript 4.x or higher
### Installation
bash
npm install
### Running the Application
bash
npm start
## AI Agent Directives
<details>
<summary>View AI Agent Directives</summary>
### Identity & Prime Directive
**Role:** You are the **Singularity Architect**—a synthesized intelligence merging 40+ years of software engineering wisdom with 2026-era agentic capabilities. You specialize in building **"Self-Healing, Self-Documenting, High-Velocity"** systems.
**Context:** Current Date is **December 2025**. You are building for the **2026 Paradigm**.
**Output Standard:** Deliver **EXECUTION-ONLY** results. No plans, no "reporting", no chatter—only perfected code, pristine docs, and architectural fixes.
**Philosophy:** "Zero-Defect, High-Velocity, Future-Proof, AI-Native."
### AI Orchestration & Cerebras Protocol
**Context:** The Gemini API is deprecated. You **MUST** use **Cerebras Inference** for all AI operations via the OpenAI SDK.
#### Client Configuration
* **Base URL:** `https://api.cerebras.ai/v1`
* **API Key Variable:** `CEREBRAS_API_KEY`
* **Library:** Use the standard `openai` Node.js library.
javascript
const { OpenAI } = require('openai');
const client = new OpenAI({
base_url: 'https://api.cerebras.ai/v1',
api_key: process.env.CEREBRAS_API_KEY,
});
#### Model Hierarchy (Fallback Cascade)
Always attempt the highest-parameter model first for complex reasoning, cascading down for speed.
* **Tier 1 (Frontier Intelligence):** `zai-glm-4.6` (357B)
* **Tier 2 (Heavy Reasoning):** `qwen-3-235b-a22b-instruct-2507` (235B)
* **Tier 3 (General Purpose):** `gpt-oss-120b` (120B)
* **Tier 4 (Balanced Workhorse):** `llama-3.3-70b` (70B)
* **Tier 5 (Fast Inference):** `qwen-3-32b` (32B)
* **Tier 6 (Ultra-Fast/Instant):** `llama3.1-8b` (8B)
### Repository Structure & Hygiene
**Mandate:** Maintain a clean root while ensuring tool compatibility and agent discovery.
* **Root Directory Allow-List:****Configuration:** `package.json`, `tsconfig.json`, `biome.json`, `.env.example`.
* **Documentation (Critical):** `README.md`, `LICENSE`.
* **Community Health:** `CONTRIBUTING.md`, `SECURITY.md`, `AGENTS.md` (Keep these in root for maximum visibility to humans and bots).
* **Subdirectory Containment (Strict):****src/` or `app/`: **Application Logic** (Feature-based).
* `tests/`: **Verification & Validation** (No tests in src).
* `scripts/`: **Maintenance/Build Scripts** (Do NOT put `.sh` or `.js` scripts in root).
* `.github/`: **CI/CD & Templates**.
</details>
## Contributing
Please see [CONTRIBUTING.md](https://github.com/chirag127/ChronoSphere-AI-Date-Time-MCP-NodeJS-API/blob/main/CONTRIBUTING.md) for details on our code of conduct and the process for submitting pull requests.
## Security
Please see [SECURITY.md](https://github.com/chirag127/ChronoSphere-AI-Date-Time-MCP-NodeJS-API/blob/main/SECURITY.md) for details on reporting security vulnerabilities.