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Steadybit MCP Server

@steadybit

Repository

Basic information

Category

Other

License

MIT license

Transports

stdio

Author

steadybit

About Steadybit MCP Server

Steadybit MCP-Server

#mcp#steadybit#server

Steadybit MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-steadybit": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/inspector",
        "java",
        "-jar",
        "target/mcp-1.0.0-SNAPSHOT.jara",
        "-e",
        "API_URL=https://platform.steadybit.com/api",
        "-e",
        "API_TOKEN=123456"
      ]
    }
  }
}

Steadybit MCP Server tools

5

List of experiment designs with their key and name

The experiment design

The experiment design

The experiment execution

List of actions

Overview

What is Steadybit MCP Server?

Steadybit MCP Server is a Model Context Protocol server that enables LLM tools like Claude to interact with the Steadybit platform. It allows AI assistants to list, retrieve, and manage experiment designs and executions, as well as query registered actions.

How to use Steadybit MCP Server?

You need a Steadybit account and an API token. Set the API_TOKEN environment variable (required) and optionally API_URL (defaults to https://platform.steadybit.com/api). The server can be run via Docker using ghcr.io/steadybit/mcp:latest or built locally from source with Maven and launched directly with Java. Configure it in Claude Desktop under Settings → Developer by adding a JSON entry for the steadybit MCP server.

Key features of Steadybit MCP Server

  • List experiment designs for a given team
  • Retrieve a full experiment design by its key
  • Search and filter experiment executions with multiple criteria
  • Get details of a specific experiment execution by ID
  • List currently registered actions with pagination

Use cases of Steadybit MCP Server

  • An AI assistant queries a team’s experiment designs to plan a new experiment
  • A developer retrieves the full definition of an existing experiment design
  • A user filters experiment executions by state or date range to review results
  • A platform operator inspects a single execution to diagnose a failure
  • An engineer lists available actions to understand what experiments can be created

Frequently asked questions

1

What is the Steadybit MCP Server used for?

It gives LLM tools like Claude the ability to read and interact with the Steadybit chaos engineering platform via standard MCP tools.

2

What prerequisites are needed?

A Steadybit account and an API token (Admin or Team level) from Settings → API Access Tokens.

3

How do I run the server?

You can run it with Docker (`ghcr.io/steadybit/mcp:latest`) or build the Java project with Maven and execute the JAR locally, passing `API_TOKEN` and optionally `API_URL` as environment variables.

4

Where are the server logs?

Logs are written to `steadybit-mcp.log` in the working directory, or to a custom path set via the `LOGGING_FILE_NAME` environment variable. No output is sent to stdout.

5

What transport does the server use?

The server communicates with MCP clients using STDIO transport.

Comments

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