Steadybit MCP Server
@steadybit
Steadybit MCP Server について
Steadybit MCP-Server
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"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"
]
}
}
}ツール
5List of experiment designs with their key and name
The experiment design
The experiment design
The experiment execution
List of actions
概要
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
FAQ from Steadybit MCP Server
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.
What prerequisites are needed?
A Steadybit account and an API token (Admin or Team level) from Settings → API Access Tokens.
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.
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.
What transport does the server use?
The server communicates with MCP clients using STDIO transport.
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