Dungbeetle runs on your own machine — the client starts it, so there is no endpoint to ping. 42 installs a week from npm.
Visual regression & snapshot testing for AI agents — list runs, read semantic diffs, review.
The linked repository no longer exists on GitHub — it was deleted or made private.
Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add mcp -- npx -y dungbeetle-mcp
{
"mcpServers": {
"mcp": {
"args": [
"-y",
"dungbeetle-mcp"
],
"command": "npx"
}
}
}
[mcp_servers.mcp]
command = "npx"
args = ["-y", "dungbeetle-mcp"]
{
"mcpServers": {
"mcp": {
"args": [
"-y",
"dungbeetle-mcp"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"mcp": {
"args": [
"-y",
"dungbeetle-mcp"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
DUNGBEETLE_AGENT_TOKEN (Scoped, revocable agent token minted via `dungbeetle login` (recommended).), DUNGBEETLE_CLIENT_ID (Repository client id (CI-style alternative to an agent token).), DUNGBEETLE_CLIENT_SECRET (Repository client secret (pairs with DUNGBEETLE_CLIENT_ID).), DUNGBEETLE_SERVER_URL (Server origin; only needed when self-hosting (default https://dungbeetle.dev).).
The author declared them in the registry entry; get the values from the project itself.
Local-first visual regression for AI agents: verdicts, diff images, explain_snapshot. No API key.
Run visual regression tests, review diffs, and manage baselines on a Lastest instance.
Snapshot tests for AI tool-call traces: diff, validate, and catch silent regressions.
Statistical regression testing for LLM agents: p-value, effect size, and CI on behavior change.
Agentic testing: HyperExecute jobs, test failure triage, SmartUI visual diffs, a11y audits
Regression testing for AI agents. Golden baselines, CI/CD, LangGraph, CrewAI, OpenAI, Claude.
AI testing agents for web apps — dispatch test runs, crawls, fetch artifacts and status.
Snapshot tests and CI for agent workflows: record a run, replay it at 0 tokens, diff for drift.
Answers built from our own checks of this server.