Deskcert MCP server

<!-- mcp-name: io.github.RudrenduPaul/deskcert -->

DeskCert

Certify whether an AI agent is safe to operate your internal web app before you give it production access.

Install

npm install -g deskcert-cli
npx playwright install chromium

or

pip install deskcert-cli
playwright install chromium

Both packages install a deskcert binary with the same init/run/ci/mcp surface, scored by the same rules (see Scoring model). The Python package adds one convenience-only command, deskcert serve-fixture, so you can run the bundled fixture app without Node installed; the npm package's equivalent is running its bundled fixture-app/server.mjs directly with node, as shown below.

Table of Contents

• Quickstart
• Features
• Comparison
• What DeskCert does, and does not, cover
• CLI reference
• GitHub Action
• Writing a task suite
• Scoring model
• What is DeskCert, and why does it exist
• FAQ
• Contributing
• License

Quickstart

deskcert init                                    # scaffold an example suite + fixture app
node ./deskcert-suite/fixture-app/server.mjs &    # or: deskcert serve-fixture (Python, no Node needed)
deskcert run --agent scripted --suite ./deskcert-suite

deskcert init writes a runnable example: two tasks, a tiny local admin panel to run them against, and the JSON Schema DeskCert validates every suite with. Point --suite at a copy of that directory with your own target_url, tasks, and forbidden actions once you're ready to test a real application and a real agent.

Features

Shortened. The full README is on GitHub.