mcpField
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dungbeetle

dungbeetle

Local
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About dungbeetle

Visual regression & snapshot testing for AI agents — list runs, read semantic diffs, review

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "dev-dungbeetle": {
      "command": "npx",
      "args": [
        "-y",
        "dungbeetle-mcp"
      ],
      "env": {
        "DUNGBEETLE_AGENT_TOKEN": "<DUNGBEETLE_AGENT_TOKEN>",
        "DUNGBEETLE_CLIENT_ID": "<DUNGBEETLE_CLIENT_ID>",
        "DUNGBEETLE_CLIENT_SECRET": "<DUNGBEETLE_CLIENT_SECRET>",
        "DUNGBEETLE_SERVER_URL": "<DUNGBEETLE_SERVER_URL>"
      }
    }
  }
}
Run commandnpx -y dungbeetle-mcp
Environment variables to set
DUNGBEETLE_AGENT_TOKENSecretScoped, revocable agent token minted via `dungbeetle login` (recommended).
DUNGBEETLE_CLIENT_IDRepository client id (CI-style alternative to an agent token).
DUNGBEETLE_CLIENT_SECRETSecretRepository client secret (pairs with DUNGBEETLE_CLIENT_ID).
DUNGBEETLE_SERVER_URLServer origin; only needed when self-hosting (default https://dungbeetle.dev).

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmdungbeetle-mcp0.1.0

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.