# Steadybit MCP Server - Automate Chaos Engineering & Reliability

> Interact with the Steadybit Chaos Engineering platform programmatically. Automate experiments, fetch results, and integrate reliability practices into your CI/CD workflows.

- **URL**: https://agentpedia.codes/mcp/steadybit

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- **Source**: [https://github.com/steadybit/mcp](https://github.com/steadybit/mcp)
- **Category**: Official
- **Publisher**: Steadybit
- **Tags**: devops, api, tools, cloud, productivity
- **Status**: verified
- **Last updated**: 2025-11-30

## About

The Steadybit MCP (Management and Control Plane) server provides a programmatic interface for interacting with the Steadybit Chaos Engineering and Continuous Reliability platform. Designed for developers and SREs, this server enables comprehensive automation and integration of reliability practices directly into your existing development and operations workflows. It allows you to define, execute, and observe chaos experiments, performance tests, and reliability checks without needing to interact with the Steadybit UI, fostering a shift-left approach to resilience.

Leveraging the Steadybit MCP server, developers can seamlessly embed chaos engineering into their CI/CD pipelines, trigger on-demand experiments in pre-production or production environments, and programmatically manage Steadybit resources such as experiments, attacks, and targets. This enables dynamic scaling of reliability testing, automated incident response validation, and the ability to fetch real-time experiment results and insights for integration with dashboards, alerting systems, or custom analytical tools. By empowering programmatic control over Steadybit, this server is crucial for organizations aiming to operationalize continuous reliability and build inherently resilient systems.

## Use cases

- Trigger chaos experiments as part of a CI/CD pipeline to validate application resilience on every commit.
- Programmatically create and update Steadybit experiments or targets based on infrastructure changes or service deployments.
- Query the real-time status and detailed results of ongoing or completed reliability experiments for automated reporting.
- Integrate Steadybit insights into custom dashboards or external monitoring systems to unify reliability metrics.
- Automate the validation of incident response playbooks by orchestrating specific failure scenarios using Steadybit attacks.

## Setup

1. Visit the official repository at the URL provided above
2. Review the README.md file for specific installation instructions
3. Install the MCP server using npm, pip, or the recommended package manager
4. Configure the server with your API keys or credentials (if required)
5. Add the server to your MCP client configuration (e.g., Antigravity, Cursor, Claude)
6. Restart your MCP client to load the new server
7. Test the connection by invoking a tool or resource from the server