Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/forever-healthy/AI4LWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/mcp/forever-healthy/ai4l/d-browser)<a href="https://agentmods.dev/mcp/forever-healthy/ai4l/d-browser"><img src="https://agentmods.dev/badge/mcp/forever-healthy/ai4l/d-browser.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
d-browser scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
{
"d-browser": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"--init",
"--shm-size=2gb",
"--cap-add=SYS_ADMIN",
"-e",
"HEADLESS=true",
"mcr.microsoft.com/playwright/mcp:latest"
]
}
}What else .mcp.json configures
This page is one entry in a file that holds 5. Installing the file brings all of them; each is measured and scanned on its own page.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 16 lines scan A 75a5c601f638
d-browser is an MCP server published in the GitHub repository forever-healthy/AI4L (38 stars, last pushed 10d ago), licensed MIT. Its token cost is not measured: an MCP server costs its tool schemas, not its config file. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
Other mcp servers, from other repositories
phi-longevity-prism
Guideline-cited biomarker analysis for chronic conditions (diabetes, lupus, cancer). Synthetic. Runs locally from the @phi-longevity/mcp-server npm package.
playwright
Lets the agent drive a real browser: open pages, click, type, take screenshots and read the accessibility tree, using Playwright. Runs locally from the @playwright/mcp npm package.
chrome-devtools
Lets the agent inspect and automate a live Chrome instance through the DevTools protocol: performance traces, network, console. Runs locally from the chrome-devtools-mcp npm package.
x-use
Browser-native AI agents for X (Twitter): multi-account, MCP-ready, no API keys required. Runs locally from the x-use-mcp Python package. Needs 2 environment variables to run.
fetch
Lets the agent fetch a URL and read its content as markdown. Runs locally from the mcp-server-fetch Python package.
web-fetcher
MCP server "web-fetcher" as configured in akanthed/SecureAI-Scan. Runs locally from the some-mcp-fetch-server npm package. Needs 1 environment variable to run.