Playwright Trace Decoder MCP vs MCP Server Playwright
A side-by-side look at the Playwright Trace Decoder MCP and MCP Server Playwright MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Playwright Trace Decoder MCP for browser automation work over a hosted endpoint; choose MCP Server Playwright for browser automation as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Playwright Trace Decoder MCP when
- You need dedicated capabilities in the Browser Automation domain.
- You prefer a remote HTTP/SSE transport.
Choose MCP Server Playwright when
- You need dedicated capabilities in the Browser Automation domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
browser_navigate, browser_screenshot, browser_click.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Browser Automation | Browser Automation |
| Quality signal | 39/100 · Fair | 61/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 1 | 297 |
| Directory activity | 1 views 0 installs 0 upvotes | 3 views 0 installs 0 upvotes |
| Tools | Not listed | 10 |
| Full listing | View Playwright Trace Decoder MCP | View MCP Server Playwright |
Tools & capabilities
Playwright Trace Decoder MCP tools
No tool names declared yet. Check the project README from the listing page.
MCP Server Playwright tools 10
browser_navigateNavigate to a URLbrowser_screenshotTake a screenshot of the current page or a specific elementbrowser_clickClick an element on the page using CSS selectorbrowser_click_textClick an element on the page by its text contentbrowser_fillFill out an input fieldbrowser_selectSelect an element on the page with Select tag using CSS selectorbrowser_select_textSelect an element on the page with Select tag by its text contentbrowser_hoverHover an element on the page using CSS selectorbrowser_hover_textHover an element on the page by its text contentbrowser_evaluateExecute JavaScript in the browser console
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Playwright Trace Decoder MCP
{
"mcpServers": {
"playwright-trace-decoder-mcp": {
"url": "https://api.example.com/cart/items"
}
}
}
MCP Server Playwright
{
"mcpServers": {
"automatalabs-mcp-server-playwright": {
"command": "npx",
"args": [
"-y",
"@automatalabs/mcp-server-playwright"
]
}
}
}
Frequently asked questions
Playwright Trace Decoder MCP is categorized under Browser Automation and uses a remote HTTP/SSE transport. MCP Server Playwright belongs to Browser Automation and uses a local stdio subprocess. Pick Playwright Trace Decoder MCP for browser automation work and MCP Server Playwright for browser automation.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Playwright Trace Decoder MCP has no declared pricing — check the project's own site. MCP Server Playwright is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add playwright-trace-decoder-mcp and automatalabs-mcp-server-playwright as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Playwright Trace Decoder MCP has a quality signal of 39/100 (Fair) with 1 views, 0 installs and 1 GitHub stars. MCP Server Playwright has 61/100 (Good) with 3 views, 0 installs and 297 GitHub stars.
