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Playwright MCP Agent Tools

gitlab.com/testing-automation-preparation/PWMCP official repository

An MCP server that exposes Playwright browser automation as structured tools, allowing AI agents to navigate pages, click elements, and extract data from real…

MCP serverSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Connection modelMCP serverMCP clients
Last checkedpricing & liveness

What it does

The specific capability behind this listing, and where to get it.

Playwright MCP Agent Tools

An MCP server that exposes Playwright browser automation as structured tools, allowing AI agents to navigate pages, click elements, and extract data from real…

Agentery has not yet captured structured capability detail for this provider.

Official Playwright MCP Agent Tools links

Price status · observed daily

Source repository available · no commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

MCP

Is Playwright MCP Agent Tools good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

Source repository

Source repository available · no commercial pricing observed.

A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.

Observed commercial pricenone
Hosting model
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

Playwright MCP Agent Tools's local market

Nearest products by what they do.

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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
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  "niche": null,
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  "short_summary": "An MCP server that exposes Playwright browser automation as structured tools, allowing AI agents to navigate pages, click elements, and extract data from real…",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": null,
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
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  ],
  "last_checked": null,
  "how_to_connect": {
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    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
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    "endpoint_kind": null,
    "latency_ms": null,
    "uptime_7d": null,
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    "status": "unknown"
  },
  "price_extras": {
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    "unit_cost": null
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  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}