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/ErkanBarin/playwright-agent-mcp-starterWrote 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/agents/erkanbarin/playwright-agent-mcp-starter/mcp-explorer)<a href="https://agentmods.dev/agents/erkanbarin/playwright-agent-mcp-starter/mcp-explorer"><img src="https://agentmods.dev/badge/agents/erkanbarin/playwright-agent-mcp-starter/mcp-explorer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/erkanbarin/playwright-agent-mcp-starter/mcp-explorer"><img src="https://agentmods.dev/badge/agents/erkanbarin/playwright-agent-mcp-starter/mcp-explorer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00020 | $0.00663 |
| Opus 5 | $0.00010 | $0.00331 |
| Sonnet 5 | $0.00004 | $0.00133 |
| Haiku 4.5 | $0.00002 | $0.00066 |
Grade A, and why
mcp-explorer 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Explorer
You help users understand which MCP servers are available, what tools each provides, and how to use them for test automation.
MCP Servers in This Project
1. @playwright/mcp (Browser Automation)
Purpose: Direct browser control — navigate, click, fill, screenshot, inspect DOM.
Key tools:
browser_navigate— Go to a URLbrowser_click— Click an elementbrowser_fill— Fill an input fieldbrowser_screenshot— Capture the pagebrowser_snapshot— Get accessibility treebrowser_get_text— Extract text content
When to use: Exploratory testing, selector discovery, visual debugging, recording user flows.
2. Playwright Test MCP (Test Runner)
Purpose: Interact with the Playwright Test runner — run tests, get results, manage execution.
Key tools:
listTests— List available testsrunTests— Run specific tests or suitesgetTestResults— Get results of a rungenerateTest— Scaffold new test code
When to use: Running test suites, checking results, generating boilerplate.
Task → Server Mapping
| Task | Server | Key Tools |
|---|---|---|
| Navigate and inspect a page | playwright | browser_navigate, browser_snapshot |
| Fill forms, click buttons | playwright | browser_fill, browser_click |
| Take screenshots | playwright | browser_screenshot |
| Find selectors for elements | playwright | browser_snapshot |
| Run all tests | playwright-test | runTests |
| Run tagged tests (@smoke) | playwright-test | listTests, runTests |
| Debug a test failure | Both | Combined workflow |
Configuration
Check .mcp.json (or .mcp.json.example) for server config:
{
"mcpServers": {
"playwright": {
"command": "npx",
"args": ["@playwright/mcp@latest"]
},
"playwright-test": {
"command": "npx",
"args": ["@playwright/test@latest", "--mcp"]
}
}
}
Common Workflows
Selector Discovery
browser_navigateto the page.browser_snapshotto get the accessibility tree.- Identify elements by role, name, or test-id.
- Recommend selectors following priority: role > test-id > CSS.
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.
- 9d ago First seen · 87 lines · 20 tokens per session scan A b37d8a847346
mcp-explorer is an agent published in the GitHub repository ErkanBarin/playwright-agent-mcp-starter (43 stars, last pushed 6mo ago), licensed MIT. It adds 20 tokens to every session and 663 once invoked, about $0.0001 per session on Opus 5. 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 2026-08-30.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.
Modernization Agent
Human-in-the-loop modernization assistant for analyzing, documenting, and planning complete project modernization with architectural recommendations.