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brightdata mcp

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Basic Information

Bright Data Web MCP is an open source Model Context Protocol (MCP) server provided by Bright Data to give LLMs and AI agents reliable, real-time access to the public web. It is designed to let agents search, navigate, extract and interact with websites while reducing the risk of being blocked or geo-restricted. The server integrates with MCP-compatible tools, IDEs and agent frameworks and can be run locally with the published npm package or used as a hosted MCP for quick connector setup. The README documents connector and developer configuration workflows for Claude Desktop, environment variables such as API_TOKEN, PRO_MODE and RATE_LIMIT, and deployment tips. The project exposes a set of web tools by default and offers an optional Pro mode for browser automation and advanced web scrapers. The repository also includes usage examples, troubleshooting notes, security best practices and a changelog for ongoing maintenance.

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App URL
https://github.com/brightdata/brightdata-mcp
Github Repository
https://github.com/brightdata/brightdata-mcp/blob/main/README.md

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App Details

Features
The README highlights core capabilities including real-time web access so LLMs can fetch up-to-date information, bypassing geo-restrictions and a Web Unlocker to navigate sites protected by bot detection. It provides remote browser control and browser automation tools when Pro mode is enabled. By default only basic tools like search_engine and scrape_as_markdown are exposed, while Pro mode unlocks a larger toolset including structured web data extraction and browser APIs. Integration features include prebuilt connector instructions and example configurations for Claude Desktop and other MCP clients. Operational controls include environment-based configuration, a RATE_LIMIT variable for session-based throttling, custom zone settings for the Web Unlocker and Browser API, and a free usage tier intended for prototyping. The repo also links to a tools list and a playground for interactive testing.
Use Cases
This MCP server helps developers and AI system integrators enhance agents with timely web knowledge without reengineering browsing or scraping logic. It enables agent workflows to perform searches, gather structured data, navigate pages and execute browser actions while handling common blocking and geo-restriction issues. The hosted option and guided Claude Desktop connectors simplify experimentation and quick integration, and the free request allowance supports prototyping. Environment-driven configuration and rate limiting let teams control usage and costs, while Pro mode offers expanded scraping and automation when needed. The README emphasizes security guidance for treating scraped content as untrusted and recommends structured extraction to reduce prompt injection risk. Examples, troubleshooting guidance and contribution instructions make it practical to adopt and extend the server within agent orchestration pipelines.

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