AI Agents
brightdata-mcp
Bright Data's MCP server: web search, scraping, structured data and browser automation for agents (75 tools)
★ 2.7k starsMIT
View guide →Microsoft's Playwright-powered MCP server for browser automation.
playwright-mcp is an open-source ai agents project by microsoft (microsoft/playwright-mcp on GitHub). It has 37,918 GitHub stars and 3,222 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.
Write down the task or workflow you want the agent to handle.
Clone the repository and read the README's prerequisites.
Install dependencies and configure keys or endpoints.
Run the sample script and check the output against the docs.
The industry-standard browser automation.
Tools any MCP client can call.
Maintained by the Playwright team.
Navigate, click, fill, extract.
Install as @playwright/mcp.
Open and commercially friendly.
Download the source and move into the project folder.
git clone https://github.com/microsoft/playwright-mcp.git
cd playwright-mcpPull in the Node packages the project needs.
npm installTreat these as starting points - the README documents the exact commands.
npm run buildThe project lives at microsoft/playwright-mcp and has attracted 3222 forks. Browse its commit history and contributor list for a sense of maintenance pace.
Yes - it is Apache-2.0 licensed, so it is free for commercial use with attribution.
The code is free; you bring your own model provider, which may be a paid API or a local model.
playwright-mcp exposes browsing as MCP tools for any client; browser-use is a Python library for agent code. Choose the MCP server for protocol-standard access, the library for embedded Python control.
The README and the official docs site are the fastest path: run the quickstart example first, then adapt it to your use case.
Bright Data's MCP server: web search, scraping, structured data and browser automation for agents (75 tools)
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