{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-bright-data","slug":"bright-data","name":"Bright Data","type":"mcp","url":"https://github.com/brightdata/brightdata-mcp","page_url":"https://unfragile.ai/bright-data","categories":["mcp-servers","data-pipelines"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-bright-data__cap_0","uri":"capability://tool.use.integration.mcp.standardized.web.scraping.tool.orchestration","name":"mcp-standardized web scraping tool orchestration","description":"Exposes 200+ web scraping and data extraction tools through the Model Context Protocol (MCP) standard, allowing AI agents and LLMs to discover and invoke scraping capabilities via a unified tool registry. Built on FastMCP framework, the server implements tool registration, schema validation (Zod), and request routing to Bright Data's backend infrastructure, enabling seamless integration with MCP-compatible clients (Claude Desktop, Cursor, Windsurf) through stdio transport without custom client implementations.","intents":["I want my AI agent to access web scraping capabilities without building custom API clients","I need to standardize how my LLM application discovers and calls data extraction tools","I want to integrate web scraping into Claude Desktop or Cursor without writing boilerplate code"],"best_for":["AI application developers building agents with Claude, Cursor, or Windsurf","Teams standardizing on MCP protocol for tool integration","Developers wanting zero-boilerplate web scraping in LLM workflows"],"limitations":["Requires MCP-compatible client — not usable with standard REST API consumers","Tool discovery happens at server startup — dynamic tool registration not supported","Schema validation adds ~50-100ms overhead per tool invocation for complex schemas"],"requires":["Node.js 14+ (for npx execution)","MCP-compatible client (Claude Desktop, Cursor, Windsurf, or custom MCP client)","Bright Data API token for authentication"],"input_types":["tool invocation requests (JSON-RPC 2.0 format via MCP)","tool parameters (validated against Zod schemas)"],"output_types":["structured JSON responses","raw HTML/text content","parsed dataset objects"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-bright-data__cap_1","uri":"capability://automation.workflow.anti.detection.and.geo.restriction.bypass.via.web.unlocker.api","name":"anti-detection and geo-restriction bypass via web unlocker api","description":"Automatically handles anti-bot detection, CAPTCHA bypass, and geographic restrictions by routing requests through Bright Data's Web Unlocker API, which manages proxy rotation, header spoofing, and JavaScript rendering transparently. The MCP server abstracts this complexity — agents invoke scraping tools without configuring proxies or handling detection logic; the backend automatically applies anti-detection strategies based on target domain fingerprinting and request patterns.","intents":["I want to scrape sites that block automated access without managing proxies myself","I need to bypass geographic restrictions to access region-locked content","I want my agent to handle CAPTCHA and bot detection automatically"],"best_for":["Developers scraping protected or geo-restricted websites","Teams needing reliable scraping without maintaining proxy infrastructure","AI agents requiring transparent anti-detection without explicit configuration"],"limitations":["Anti-detection effectiveness depends on Bright Data's infrastructure updates — no local control","Adds 500ms-2s latency per request due to proxy routing and detection evasion","Some sites with advanced fingerprinting may still block despite anti-detection","Requires valid Bright Data account with Web Unlocker quota"],"requires":["Bright Data API token with Web Unlocker access","Optional: WEB_UNLOCKER_ZONE environment variable (defaults to auto-created 'mcp_unlocker')","Network connectivity to Bright Data proxy infrastructure"],"input_types":["target URLs","HTTP headers (optional)","request parameters"],"output_types":["rendered HTML (with JavaScript executed)","HTTP response headers","status codes"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-bright-data__cap_10","uri":"capability://tool.use.integration.modular.tool.subsystem.architecture.with.specialized.modules","name":"modular tool subsystem architecture with specialized modules","description":"Implements a modular architecture separating concerns into specialized tool modules (browser_tools.js, web_data_tools.js, general_scraping_tools.js), each handling a category of functionality. The central server.js orchestrator routes requests to appropriate modules, which implement tool-specific logic and return results. This modularity enables independent development, testing, and maintenance of tool categories, and allows selective tool loading based on configuration (e.g., disable browser tools if not needed).","intents":["I want to maintain and test scraping tools independently from browser automation tools","I need to selectively enable/disable tool categories based on deployment needs","I want to add new tool categories without modifying the core server"],"best_for":["Teams maintaining large tool sets with independent development cycles","Projects needing selective tool loading based on deployment context","Developers wanting to extend the server with custom tool modules"],"limitations":["Module interdependencies can create tight coupling — difficult to refactor","No built-in module isolation — shared state across modules can cause bugs","Tool discovery requires loading all modules — cannot lazy-load tools","Module configuration is static at startup — cannot enable/disable tools at runtime"],"requires":["Understanding of module structure and interfaces","Node.js module system knowledge"],"input_types":["module definitions (tool implementations)"],"output_types":["registered tools in tool registry"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-bright-data__cap_2","uri":"capability://automation.workflow.remote.browser.automation.via.chrome.devtools.protocol","name":"remote browser automation via chrome devtools protocol","description":"Enables AI agents to control headless Chrome browsers remotely through the Chrome DevTools Protocol (CDP), supporting session management, JavaScript execution, DOM interaction, and screenshot capture. The browser_tools.js subsystem manages browser lifecycle (launch, navigation, interaction), maintains session state across multiple tool invocations, and translates agent commands into CDP protocol messages, allowing agents to automate complex multi-step browser workflows without managing browser processes directly.","intents":["I want my agent to interact with JavaScript-heavy websites that require DOM manipulation","I need to automate multi-step workflows like login, form submission, and data extraction","I want to capture screenshots or execute custom JavaScript in a real browser context"],"best_for":["Developers automating complex web interactions requiring JavaScript execution","Teams building agents that need to handle dynamic content and single-page applications","Workflows requiring screenshot capture or visual validation"],"limitations":["Browser sessions consume significant memory — typically 100-300MB per active session","CDP communication adds 100-300ms latency per command due to serialization and network overhead","No built-in session persistence — browser state lost if MCP server restarts","Limited to headless Chrome — no support for other browsers (Firefox, Safari)"],"requires":["Chrome or Chromium installed on the system","BROWSER_ZONE environment variable (optional, defaults to 'mcp_browser')","Bright Data Browser API credentials","Sufficient system memory for concurrent browser sessions"],"input_types":["URLs to navigate","CSS/XPath selectors for DOM interaction","JavaScript code snippets","form data for submission"],"output_types":["rendered HTML (after JavaScript execution)","screenshot images (PNG/JPEG)","DOM element data","JavaScript execution results"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-bright-data__cap_3","uri":"capability://data.processing.analysis.platform.specific.dataset.extraction.with.196.pre.built.scrapers","name":"platform-specific dataset extraction with 196+ pre-built scrapers","description":"Provides 196+ dataset-specific scraping tools tailored to popular platforms (Amazon, LinkedIn, Google Maps, eBay, etc.), each implementing platform-specific parsing logic, pagination handling, and data normalization. Rather than generic HTML scraping, these tools understand platform structure and return normalized, structured data (products, profiles, reviews) with consistent schemas. The MCP server exposes each as a distinct tool with platform-specific parameters, allowing agents to extract data from major platforms without writing custom parsers.","intents":["I want to extract product data from Amazon with consistent schema without parsing HTML","I need to scrape LinkedIn profiles and return structured professional data","I want to get Google Maps business listings with normalized address and review data"],"best_for":["Developers building market research or competitive intelligence agents","Teams needing reliable data extraction from major platforms without maintenance","Non-technical users wanting to extract structured data via AI agents"],"limitations":["Limited to 196 pre-built platforms — custom platforms require manual scraper development","Platform-specific tools may break if target site changes structure (requires Bright Data updates)","Some platforms (LinkedIn, Facebook) have strict ToS against scraping — legal risk remains","Data freshness depends on Bright Data's update cycle — may lag behind real-time changes"],"requires":["Bright Data API token","Knowledge of which platform-specific tool to invoke (agent must select correct tool)","Valid credentials for authenticated platforms (optional, depends on tool)"],"input_types":["platform-specific parameters (product IDs, profile URLs, search queries)","pagination parameters (page number, limit)","filter criteria (price range, location, etc.)"],"output_types":["normalized JSON objects (products, profiles, reviews)","structured arrays with consistent schema per platform","metadata (pagination info, data freshness timestamp)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-bright-data__cap_4","uri":"capability://search.retrieval.multi.provider.search.engine.integration.google.bing.yandex","name":"multi-provider search engine integration (google, bing, yandex)","description":"Integrates search capabilities across multiple search engines (Google, Bing, Yandex) through dedicated MCP tools, allowing agents to perform web searches and retrieve ranked results without managing search engine APIs directly. Each search tool handles provider-specific parameters, result parsing, and pagination, returning normalized search results with title, URL, snippet, and ranking metadata. The integration abstracts provider differences, enabling agents to switch search engines or aggregate results across providers.","intents":["I want my agent to search the web and retrieve top results without calling search APIs directly","I need to compare search results across multiple search engines","I want to perform location-specific or language-specific searches"],"best_for":["AI agents building research or fact-checking workflows","Teams needing web search without managing individual search engine APIs","Applications requiring multi-provider search for redundancy or comparison"],"limitations":["Search results are snapshots — not real-time updates","Some search engines (Google) have rate limits and may block high-volume queries","Search result quality and ranking vary significantly between providers","No advanced search operators support (boolean queries, site-specific search)"],"requires":["Bright Data API token","Network connectivity to search engine infrastructure","Optional: language/locale parameters for localized results"],"input_types":["search query (string)","search parameters (language, location, result count)","pagination parameters (page number)"],"output_types":["ranked search results array","result metadata (title, URL, snippet, ranking position)","pagination info"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-bright-data__cap_5","uri":"capability://safety.moderation.token.based.authentication.with.optional.zone.configuration","name":"token-based authentication with optional zone configuration","description":"Implements token-based authentication for Bright Data services through environment variables (API_TOKEN), with optional zone configuration for Web Unlocker (WEB_UNLOCKER_ZONE) and Browser API (BROWSER_ZONE). The server validates tokens at startup and per-request, routing authenticated requests to appropriate Bright Data infrastructure zones. Zone configuration allows teams to use separate quotas, rate limits, and proxy pools for different use cases (e.g., dedicated zone for production scraping vs development testing).","intents":["I want to authenticate my MCP server with Bright Data without hardcoding credentials","I need to use separate proxy zones for different scraping workloads","I want to manage rate limits and quotas per zone"],"best_for":["Teams deploying MCP servers in production with credential management","Organizations needing separate zones for different scraping workloads","Developers managing multiple Bright Data accounts or quotas"],"limitations":["Tokens are passed via environment variables — requires secure environment setup","No built-in token rotation — manual credential updates required","Zone configuration is static at server startup — cannot switch zones at runtime","No audit logging of token usage — difficult to track which requests used which tokens"],"requires":["Bright Data API token (API_TOKEN environment variable)","Optional: WEB_UNLOCKER_ZONE environment variable","Optional: BROWSER_ZONE environment variable","Secure environment for storing credentials (secrets manager recommended)"],"input_types":["environment variables (API_TOKEN, WEB_UNLOCKER_ZONE, BROWSER_ZONE)"],"output_types":["authentication status (success/failure)","zone configuration metadata"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-bright-data__cap_6","uri":"capability://automation.workflow.rate.limiting.and.request.throttling.per.configuration","name":"rate limiting and request throttling per configuration","description":"Implements configurable rate limiting through the RATE_LIMIT environment variable (format: limit/time+unit, e.g., '100/1m' for 100 requests per minute), throttling tool invocations to prevent quota exhaustion and API abuse. The server enforces limits at the request level, queuing excess requests and returning rate-limit metadata (remaining quota, reset time) to agents, allowing them to implement backoff strategies or prioritize requests.","intents":["I want to prevent my agent from exhausting Bright Data quota with runaway requests","I need to throttle scraping to avoid overwhelming target websites","I want to implement intelligent backoff when approaching rate limits"],"best_for":["Teams running long-lived agents with unpredictable request patterns","Developers building production scraping pipelines with quota constraints","Applications needing to respect both API and target site rate limits"],"limitations":["Rate limiting is per-server instance — distributed deployments need external coordination","No adaptive rate limiting — limits are static, cannot adjust based on target site responses","Queued requests consume memory — high queue depth may cause memory pressure","No priority queue — all requests treated equally regardless of importance"],"requires":["RATE_LIMIT environment variable (format: limit/time+unit)","Optional: custom rate limit configuration at server startup"],"input_types":["rate limit configuration string (e.g., '100/1m')"],"output_types":["rate limit status (requests remaining, reset time)","queued request metadata"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-bright-data__cap_7","uri":"capability://tool.use.integration.stdio.based.mcp.transport.for.seamless.client.integration","name":"stdio-based mcp transport for seamless client integration","description":"Uses stdio (standard input/output) as the transport mechanism for MCP protocol communication, enabling the server to integrate with MCP-compatible clients (Claude Desktop, Cursor, Windsurf) without requiring network configuration or port management. The server reads JSON-RPC 2.0 requests from stdin and writes responses to stdout, allowing clients to spawn the server as a subprocess and communicate through pipes, simplifying deployment and eliminating network security concerns.","intents":["I want to integrate web scraping into Claude Desktop without managing a separate API server","I need to deploy the MCP server locally without exposing network ports","I want to use the server in Cursor or Windsurf without network configuration"],"best_for":["Developers using Claude Desktop, Cursor, or Windsurf with local MCP servers","Teams deploying MCP servers in secure environments without network exposure","Single-machine deployments where network communication is unnecessary"],"limitations":["Stdio transport is single-process — cannot serve multiple clients simultaneously","No network access — server must run on same machine as client","Debugging stdio communication is difficult — requires log redirection or special tools","Process management is client's responsibility — no built-in health checks or restart logic"],"requires":["MCP-compatible client (Claude Desktop, Cursor, Windsurf)","Client configuration pointing to server executable (npx @brightdata/mcp)","Node.js 14+ on the client machine"],"input_types":["JSON-RPC 2.0 requests via stdin"],"output_types":["JSON-RPC 2.0 responses via stdout"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-bright-data__cap_8","uri":"capability://tool.use.integration.fastmcp.framework.based.tool.registration.and.discovery","name":"fastmcp framework-based tool registration and discovery","description":"Leverages the FastMCP framework to implement automatic tool registration, schema validation, and discovery mechanisms, allowing the server to expose 200+ tools with consistent interfaces. FastMCP handles tool metadata (name, description, parameters), Zod schema validation, and request routing, reducing boilerplate code. Clients can discover available tools via MCP's tools/list endpoint, receiving complete tool metadata including parameter schemas, enabling intelligent tool selection and parameter validation before invocation.","intents":["I want my agent to discover available scraping tools without hardcoding tool names","I need consistent parameter validation across all 200+ tools","I want to add new tools without modifying client code"],"best_for":["Developers building extensible MCP servers with many tools","Teams wanting automatic tool discovery and schema validation","Projects requiring consistent tool interfaces across diverse capabilities"],"limitations":["FastMCP adds ~50-100ms overhead per tool invocation for schema validation","Tool metadata is static at server startup — dynamic tool registration not supported","Schema validation errors are verbose — may confuse agents with complex error messages","Limited to FastMCP's supported schema types — complex nested schemas may be difficult"],"requires":["FastMCP framework (included in package.json dependencies)","Zod schema definitions for each tool","Node.js 14+"],"input_types":["tool registration definitions (name, description, parameters)","Zod schema objects"],"output_types":["tool metadata (via tools/list endpoint)","validated tool parameters","tool invocation results"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-bright-data__cap_9","uri":"capability://automation.workflow.docker.containerized.deployment.with.environment.based.configuration","name":"docker containerized deployment with environment-based configuration","description":"Supports Docker deployment through a containerized server image, allowing teams to deploy the MCP server in isolated environments with environment variable configuration. The Dockerfile packages Node.js, dependencies, and the server code, enabling deployment to Kubernetes, Docker Compose, or cloud container services. Configuration is entirely environment-based (API_TOKEN, RATE_LIMIT, zones), allowing the same image to be deployed across development, staging, and production without code changes.","intents":["I want to deploy the MCP server in a Docker container for production use","I need to run multiple server instances with different configurations","I want to deploy to Kubernetes or cloud container services"],"best_for":["Teams deploying MCP servers in containerized environments","Organizations using Kubernetes or Docker Compose for orchestration","Production deployments requiring isolation and scalability"],"limitations":["Docker image size is ~500MB+ (includes Node.js and dependencies)","Container startup time is 2-5 seconds — not suitable for serverless/FaaS","Stdio transport requires container to be spawned per client — no shared server instance","No built-in health checks or liveness probes — requires external monitoring"],"requires":["Docker installed on deployment machine","Environment variables for configuration (API_TOKEN, RATE_LIMIT, zones)","Container orchestration platform (Docker, Kubernetes, Docker Compose)"],"input_types":["environment variables (API_TOKEN, RATE_LIMIT, WEB_UNLOCKER_ZONE, BROWSER_ZONE)"],"output_types":["running container with MCP server"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":32,"verified":false,"data_access_risk":"high","permissions":["Node.js 14+ (for npx execution)","MCP-compatible client (Claude Desktop, Cursor, Windsurf, or custom MCP client)","Bright Data API token for authentication","Bright Data API token with Web Unlocker access","Optional: WEB_UNLOCKER_ZONE environment variable (defaults to auto-created 'mcp_unlocker')","Network connectivity to Bright Data proxy infrastructure","Understanding of module structure and interfaces","Node.js module system knowledge","Chrome or Chromium installed on the system","BROWSER_ZONE environment variable (optional, defaults to 'mcp_browser')"],"failure_modes":["Requires MCP-compatible client — not usable with standard REST API consumers","Tool discovery happens at server startup — dynamic tool registration not supported","Schema validation adds ~50-100ms overhead per tool invocation for complex schemas","Anti-detection effectiveness depends on Bright Data's infrastructure updates — no local control","Adds 500ms-2s latency per request due to proxy routing and detection evasion","Some sites with advanced fingerprinting may still block despite anti-detection","Requires valid Bright Data account with Web Unlocker quota","Module interdependencies can create tight coupling — difficult to refactor","No built-in module isolation — shared state across modules can cause bugs","Tool discovery requires loading all modules — cannot lazy-load tools","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.47,"ecosystem":0.49999999999999994,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:02.371Z","last_scraped_at":"2026-05-03T14:00:15.503Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=bright-data","compare_url":"https://unfragile.ai/compare?artifact=bright-data"}},"signature":"RITmpghRsAF5WsiJyzDK2mbjw74BEDnMusy2TOATOpBaVnIR6zp6vUyhC4lCVzRSypLRK4qIuPUSS4PFPnL/Dw==","signedAt":"2026-06-20T03:44:32.607Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/bright-data","artifact":"https://unfragile.ai/bright-data","verify":"https://unfragile.ai/api/v1/verify?slug=bright-data","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}