The Sauce Labs MCP server provides integration with the Sauce Labs testing platform, allowing AI assistants to manage test jobs, analyze builds, and monitor testing infrastructure through natural language interactions.
From the registry: An open-source MCP server that provides LLM access to the Sauce Labs API
Please install the `sauce-api-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Python** — Python 3.10+ required. Run: `pip install sauce-api-mcp` (https://pypi.org/project/sauce-api-mcp/)
- **Sauce Labs Account** — Active Sauce Labs account with API credentials. (https://app.saucelabs.com/user-settings)
Canonical MCP server config (stdio transport):
- command: `sauce-api-mcp`
- args: []
- required environment variables:
- `SAUCE_USERNAME`: Sauce Labs username. (example: `your-sauce-username`)
- `SAUCE_ACCESS_KEY`: Sauce Labs access key from Account Settings. (example: `<your-access-key>`)
- optional environment variables:
- `SAUCE_REGION`: Sauce Labs data center region. Default: us-west-1 (example: `us-west-1`)
Note: Sauce Labs testing platform. Two servers: sauce-api-mcp (core) and sauce-api-mcp-rdc (RDC). Use full path from `python3 -c "import sys; print(sys.prefix + '/bin')"`. Tools: account, devices, jobs, builds, storage, tunnels.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.SAUCE_USERNAMErequiredYour Sauce Labs usernameSAUCE_ACCESS_KEYrequiredYour Sauce Labs access key (found in Account Settings)Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Validate oh-my-posh configurations and segment snippets against the official schema.
Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.