Puppeteer MCP Server (Python Implementation)

Created By
MCP-Mirrora year ago
Mirror of
Overview

what is Puppeteer MCP Server?

Puppeteer MCP Server is a Model Context Protocol server implemented in Python that provides browser automation capabilities using Playwright, enabling LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.

how to use Puppeteer MCP Server?

To use the server, install the required packages, set up the Playwright browsers, and start the server with a simple Python command. Configuration for Claude desktop is also provided for integration.

key features of Puppeteer MCP Server?

  • Full browser automation capabilities
  • Page navigation
  • Full-page or element-specific screenshot capture
  • Form interaction, including clicking and filling forms
  • JavaScript execution in the browser
  • Comprehensive error handling and logging

use cases of Puppeteer MCP Server?

  1. Automating web testing and navigation
  2. Capturing screenshots for web scraping and documentation
  3. Executing JavaScript for dynamic web content manipulation

FAQ from Puppeteer MCP Server?

  • What programming language is Puppeteer MCP Server built with?

It is built in Python using Playwright for browser automation.

  • Is there any error handling mechanism in place?

Yes! The server provides detailed error messages for common failures including navigation and element not found errors.

  • Can I run this server in headless mode?

By default, the server runs in non-headless mode for better debugging, but configurations allow headless operation.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
MCP-Mirror
Star
-
Language
-
License
-

Recommend Servers

View All
Docwand

14 hours ago
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

14 hours ago