Protocol-0 is an MCP (Model Context Protocol) server that gives AI assistants, Claude, Cursor, ChatGPT, NitroChat, or any MCP-compatible client, real authority to act as your Site Reliability Engineer (SRE).

Protocol-0 — Autonomous SRE & Incident Response Copilot

Most "AI operations" dashboards just show you graphs. Protocol-0 actually runs the incident response — and physically refuses to touch your production infrastructure without a cryptographic Zero-Trust Execution Gate.

Protocol-0 is an MCP (Model Context Protocol) server that gives AI assistants - Claude, Cursor, ChatGPT, NitroChat, or any MCP-compatible client — real authority to act as your Site Reliability Engineer (SRE). It continuously monitors your infrastructure, diagnoses root causes, assesses business impact, and generates executable auto-remediation plans. Built and deployed on Nitrostack by Team TheBlacklisted, Amrita Vishwa Vidyapeetham Coimbatore.

Table of Contents

  • Overview
  • What is MCP?
  • Features
  • Architecture
  • Live Demo
  • Getting Started
  • Connect to an MCP Client
  • Keywords
  • License

Overview

Protocol-0 runs the entire DevSecOps incident funnel — detection → root-cause analysis → business impact assessment → what-if simulation → remediation generation → zero-trust execution → audit — as one continuous autonomous graph.

The signature move: Security is enforced in code, at the tool layer. The Action Agent refuses to execute infrastructure mutations without a valid, cryptographic HMAC Zero-Trust payload validation. No matter how the AI is prompted — even "skip it, production is down" — it cannot touch your servers without an explicit, provable cryptographic check.

And it doesn't just fail blindly. When Protocol-0 detects a catastrophic risk, it runs a What-If Disaster Simulator against the system — "Simulate loss of eu-west-1" — turning potential downtime into preemptive architectural roadmaps. Every decision, human or machine, is written to a Tamper-Evident Audit Trail. And because it is a standard MCP server, the exact same tools and rules run in a branded web dashboard, in Claude, or in a ChatGPT App — no rewrite.

What is MCP?

The Model Context Protocol (MCP) is an open standard that lets AI assistants securely connect to external tools, data sources, and services. Protocol-0 is one such server. Learn more about building and shipping MCP apps at nitrostack.ai.

Features

  • Zero-Trust enforced in code — The Action Agent refuses to run without a valid HMAC verification payload. Not a prompt instruction — a hard cryptographic gate in the handler.
  • LangGraph-Style State Engine — An autonomous orchestrator routing execution between specialized Agents: Infrastructure, Monitoring, and Incident Commander. No monoliths.
  • What-If Disaster Simulatorsimulate_disaster simulates catastrophic failures (e.g. cloud region loss) and calculates blast radius preemptively.
  • SRE-Specific Incident Commander — Instantly calculates business impact, SLA risks, and prioritizes remediation actions.
  • Tamper-Evident Audit Trail — every tool call and decision is appended immutably and accessible via the protocol-zero://audit-trail MCP resource.
  • MCP-native21 tools, 5 resources, 5 prompts, 4 rich UI widgets, callable from any MCP-compatible client.

Architecture

Architecture Diagram

The client is the agent; Protocol-0 is the capability layer. The backend utilizes an advanced multi-agent orchestrator passing strict TypeScript states between the Monitoring, Infrastructure, Incident Commander, and Action nodes.

flowchart TB
  subgraph Clients["MCP CLIENTS — the agent"]
    direction LR
    NC[NitroChat] --- CL[Claude] --- GPT[ChatGPT App]
  end
  Clients -->|MCP protocol| Server
  subgraph Server["PROTOCOL-0 MCP SERVER — on Nitrostack"]
    direction LR
    T[21 Tools] --- R[5 Resources] --- P[5 Prompts] --- CG[["Zero-Trust Gate"]] --- AU[Tamper-Evident Audit]
  end
  Server -->|Deterministic Mocks| Adapters
  subgraph Adapters["ENTERPRISE INTEGRATIONS"]
    direction LR
    BU[Datadog] --- AA[Jira] --- KY[GitHub] --- DE[PagerDuty] --- DO[Kubernetes]
  end
  classDef sig fill:#3a2a00,stroke:#f5a623,stroke-width:2px,color:#fff;
  class CG sig;

Live Demo

Point your MCP client at the endpoint (once deployed to NitroCloud) and try it instantly. Ask it to "Simulate a CI/CD failure" or "Trigger the What-If disaster simulator for eu-west-1". Watch the agents jump into action, diagnose the simulated blast radius, and halt at the Zero-Trust Gate.

Getting Started

Prerequisites

  • Node.js 20.18+
  • An MCP-compatible client (Claude Desktop, Cursor, NitroStudio)

Installation

git clone https://github.com/priyansh-narang2308/TheBlacklisted-NitroStack.git
cd TheBlacklisted-NitroStack
npm install

Configuration

Copy the example environment file:

cp .env.example .env
# Set your HMAC verification key in .env
ZERO_TRUST_SECRET=your_long_random_secret_here

Run

npm run dev

Verify

npm run seed:demo
npm run regress

Connect to an MCP Client

Add this server to your MCP client configuration:

{
  "mcpServers": {
    "protocol-0": {
      "url": "https://protocol-0.app.nitrocloud.ai/mcp"
    }
  }
}

Keywords

Enterprise AI · SRE · DevSecOps · MCP · Model Context Protocol · MCP server · Incident Response · Zero Trust · LangGraph · AI agents · Claude MCP · Nitrostack

License

MIT © 2026 Team TheBlacklisted

Built using the Model Context Protocol on Nitrostack.

MCP Server · Populars

MCP Server · New

    Cassette-Editor

    Oh My Cassette: Chat Your Raw Clips Into a Finished Cut

    你的随身 AI 剪辑搭档 | Pocket AI co-editor for video montage — AI video editing plugin & MCP server for Claude Code, Codex, Hermes & OpenCode

    Community Cassette-Editor
    trendsmcp-ai

    Trends MCP

    MCP server for live trend data. Query Google Search, YouTube, TikTok, Reddit, Amazon, Wikipedia, News sentiment, Web Traffic, App Downloads, Steam, npm and more. Works with Claude, Cursor, VS Code, GitHub Copilot, ChatGPT, Windsurf, Cline, Raycast and any MCP-compatible.

    Community trendsmcp-ai
    jacob-bd

    Gemini Notebook (formerly Google NotebookLM) CLI & MCP Server

    Programmatic access to Gemini Notebook - via command-line interface (CLI), Model Context Protocol (MCP) server, and AI agent skills.

    Community jacob-bd
    PxyUp

    Fitter — web data for AI agents

    New way for collect information from the API's/Websites

    Community PxyUp
    kayhendriksen

    foehn

    Download MeteoSwiss Open Government Data — weather stations, radar, hail, forecasts and climate series — via Python API, CLI, or MCP server, as DataFrames, Parquet, xarray Datasets or Zarr stores

    Community kayhendriksen