{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-crawlbase-mcp","slug":"crawlbase-mcp","name":"Crawlbase MCP","type":"mcp","url":"https://github.com/crawlbase/crawlbase-mcp","page_url":"https://unfragile.ai/crawlbase-mcp","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-crawlbase-mcp__cap_0","uri":"capability://search.retrieval.raw.html.fetching.with.javascript.rendering","name":"raw html fetching with javascript rendering","description":"Fetches live web content as raw HTML with optional JavaScript execution via the Crawlbase API backend. The MCP server wraps Crawlbase's rendering infrastructure, supporting both static HTML requests (using CRAWLBASE_TOKEN) and JavaScript-rendered pages (using CRAWLBASE_JS_TOKEN). Requests are routed through a retry queue with exponential backoff for resilience against transient failures.","intents":["I need to fetch the current HTML of a dynamic web page that requires JavaScript execution","I want to scrape content from a modern SPA or AJAX-heavy website","I need to handle anti-bot detection and proxy rotation automatically"],"best_for":["AI agents building research tools that need live web data","LLM-powered applications requiring fresh HTML content for analysis","Teams building web intelligence systems with JavaScript-heavy targets"],"limitations":["Requires valid Crawlbase API tokens (separate tokens for standard vs JS rendering)","Subject to Crawlbase API rate limits and quota constraints","Response latency depends on target page complexity and Crawlbase backend load","No built-in caching — each request hits the live web"],"requires":["Node.js ≥18.0.0","CRAWLBASE_TOKEN environment variable (for standard HTML)","CRAWLBASE_JS_TOKEN environment variable (for JavaScript-rendered pages)","Active Crawlbase API account with available quota"],"input_types":["URL string","request parameters (geographic targeting, device emulation, custom headers)"],"output_types":["HTML string (raw page markup)"],"categories":["search-retrieval","web-scraping"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-crawlbase-mcp__cap_1","uri":"capability://data.processing.analysis.markdown.content.extraction.from.web.pages","name":"markdown content extraction from web pages","description":"Extracts and converts web page content to clean, structured markdown format via the crawl_markdown tool. The MCP server delegates to Crawlbase's content processing pipeline, which parses HTML, removes boilerplate (navigation, ads, footers), and outputs markdown-formatted text suitable for LLM consumption. Supports the same rendering options as raw HTML fetching (JavaScript execution, proxy rotation, geographic targeting).","intents":["I need to extract article text from a webpage in a format optimized for LLM processing","I want to remove navigation, ads, and other noise from web content automatically","I need clean markdown output for feeding into RAG or summarization pipelines"],"best_for":["AI agents building content aggregation or research systems","LLM-powered document processing pipelines","Teams building knowledge extraction systems that need clean text input"],"limitations":["Markdown extraction quality depends on page structure and Crawlbase's content detection heuristics","Complex layouts with mixed content types may not convert perfectly to markdown","No control over markdown formatting rules or boilerplate detection thresholds","Requires CRAWLBASE_JS_TOKEN for pages with dynamically-loaded content"],"requires":["Node.js ≥18.0.0","CRAWLBASE_TOKEN or CRAWLBASE_JS_TOKEN environment variable","Active Crawlbase API account"],"input_types":["URL string","request parameters (geographic targeting, device emulation, custom headers)"],"output_types":["markdown string (cleaned, structured text)"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-crawlbase-mcp__cap_10","uri":"capability://tool.use.integration.multi.sdk.support.across.node.js.python.java.php.and.net","name":"multi-sdk support across node.js, python, java, php, and .net","description":"Provides official SDKs for multiple programming languages (Node.js, Python, Java, PHP, .NET) that wrap the Crawlbase API, enabling developers to use web scraping capabilities from their preferred language. Each SDK implements the same core functionality (HTML fetching, markdown extraction, screenshot capture) with language-idiomatic APIs. SDKs handle authentication, request formatting, and response parsing, abstracting away HTTP details.","intents":["I want to use Crawlbase web scraping from my Python/Java/PHP/.NET application","I need language-idiomatic APIs that feel natural in my development environment","I want to avoid writing raw HTTP clients for Crawlbase API integration"],"best_for":["Polyglot teams using multiple programming languages","Organizations with existing Python, Java, PHP, or .NET codebases","Developers preferring language-specific APIs over raw HTTP clients"],"limitations":["SDK feature parity may vary across languages","SDK maintenance burden increases with each supported language","Language-specific SDKs may have different performance characteristics","Not all Crawlbase API features may be exposed in all SDKs"],"requires":["Language-specific runtime (Python 3.6+, Java 8+, PHP 7.0+, .NET 6.0+, Node.js 18+)","Language-specific package manager (pip, Maven, Composer, NuGet, npm)","Crawlbase API tokens"],"input_types":["URL string","request options (language-specific objects)"],"output_types":["HTML string, markdown string, or base64 image (language-specific types)"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-crawlbase-mcp__cap_2","uri":"capability://image.visual.webpage.screenshot.capture.with.rendering","name":"webpage screenshot capture with rendering","description":"Captures full-page or viewport screenshots of web content as base64-encoded images via the crawl_screenshot tool. The MCP server delegates to Crawlbase's screenshot infrastructure, which renders pages with JavaScript execution, applies geographic/device targeting, and returns PNG images encoded as base64 strings. Supports the same proxy rotation and anti-bot evasion as HTML fetching.","intents":["I need to capture visual snapshots of web pages for analysis or documentation","I want to see how a page renders in different geographic regions or device types","I need to feed page screenshots into vision-capable LLMs for visual understanding"],"best_for":["AI agents with vision capabilities analyzing page layouts or visual content","Teams building visual web monitoring or change detection systems","LLM applications that need both text and visual context from web pages"],"limitations":["Screenshot capture requires CRAWLBASE_JS_TOKEN (higher cost than standard HTML)","Base64 encoding adds ~33% overhead to response size","Screenshot quality and viewport size are determined by Crawlbase backend (not configurable)","Interactive elements (modals, dropdowns) may not be visible in static screenshots","Large screenshots can exceed context window limits in LLM applications"],"requires":["Node.js ≥18.0.0","CRAWLBASE_JS_TOKEN environment variable (required for screenshot rendering)","Active Crawlbase API account with screenshot quota"],"input_types":["URL string","request parameters (geographic targeting, device emulation, custom headers)"],"output_types":["base64-encoded PNG image string"],"categories":["image-visual","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-crawlbase-mcp__cap_3","uri":"capability://tool.use.integration.dual.mode.mcp.server.deployment.stdio.and.http","name":"dual-mode mcp server deployment (stdio and http)","description":"Provides two distinct operational modes for integrating web scraping into AI applications: stdio mode for direct subprocess communication with desktop AI clients (Claude, Cursor, Windsurf) via standard input/output streams, and HTTP mode for standalone network server deployments supporting multi-user access and custom integrations. Both modes expose the same three tools (crawl, crawl_markdown, crawl_screenshot) through the standardized MCP protocol, with authentication handled via environment variables (stdio) or HTTP headers (HTTP mode).","intents":["I want to integrate web scraping directly into my Claude/Cursor desktop AI client","I need to deploy a shared web scraping service accessible to multiple applications","I want to run the MCP server in a containerized environment or cloud deployment"],"best_for":["Individual developers using Claude/Cursor/Windsurf with local MCP integration","Teams deploying multi-user AI services with centralized web scraping","Organizations running containerized AI agent infrastructure (Docker, Kubernetes)"],"limitations":["Stdio mode creates isolated processes per client (higher resource overhead for many concurrent users)","HTTP mode requires network security configuration (authentication, rate limiting, HTTPS)","Stdio mode authentication via environment variables is less flexible than HTTP header-based auth","No built-in load balancing or horizontal scaling in either mode"],"requires":["Node.js ≥18.0.0","npm (for installation)","Crawlbase API tokens (CRAWLBASE_TOKEN and CRAWLBASE_JS_TOKEN)","For stdio mode: Claude, Cursor, or Windsurf client with MCP support","For HTTP mode: network access and optional reverse proxy (nginx, etc.)"],"input_types":["MCP tool call requests (JSON-RPC format)"],"output_types":["MCP tool response messages (JSON-RPC format)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-crawlbase-mcp__cap_4","uri":"capability://automation.workflow.retry.queue.with.exponential.backoff.for.resilience","name":"retry queue with exponential backoff for resilience","description":"Implements automatic retry logic with exponential backoff for failed Crawlbase API requests, improving reliability for transient failures (network timeouts, temporary API unavailability, rate limiting). The retry queue is integrated into the request processing pipeline, transparently retrying failed requests without exposing retry logic to the MCP client. Backoff strategy prevents overwhelming the Crawlbase API during outages.","intents":["I want my web scraping requests to automatically retry on transient failures","I need resilience against temporary network issues or API rate limiting","I want to avoid manual retry logic in my agent code"],"best_for":["Long-running AI agents that need to handle transient failures gracefully","Production deployments requiring high availability","Systems scraping many URLs where some failures are expected"],"limitations":["Retry logic adds latency to failed requests (exponential backoff means later retries take longer)","No configurable retry strategy or backoff parameters exposed to clients","Retries consume Crawlbase API quota even for failed requests","No circuit breaker pattern — will continue retrying even during extended outages"],"requires":["Node.js ≥18.0.0","Crawlbase API tokens"],"input_types":["MCP tool call requests"],"output_types":["MCP tool response (success after retry, or error after max retries exceeded)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-crawlbase-mcp__cap_5","uri":"capability://search.retrieval.geographic.targeting.and.device.emulation","name":"geographic targeting and device emulation","description":"Enables requests to be routed through Crawlbase's proxy infrastructure with geographic targeting and device emulation, allowing agents to fetch content as if browsing from different regions or device types. Implemented via request parameters passed to the Crawlbase API, supporting country/region selection and device type emulation (mobile, desktop, tablet). Useful for testing geo-blocked content, mobile-specific rendering, or region-specific pricing.","intents":["I need to fetch content as if browsing from a specific geographic region","I want to see how a page renders on mobile vs desktop devices","I need to test geo-blocked or region-specific content"],"best_for":["Teams testing geo-blocking or region-specific content delivery","AI agents analyzing mobile-specific layouts or content","Price comparison or market research applications requiring regional data"],"limitations":["Geographic targeting and device emulation may increase latency and cost","Device emulation is user-agent and viewport-based (not true device rendering)","No control over specific proxy IP addresses or ISP types","Some websites may detect and block requests from known proxy providers"],"requires":["Node.js ≥18.0.0","Crawlbase API tokens","Request parameters specifying geographic region or device type"],"input_types":["URL string","geographic targeting parameter (country code)","device type parameter (mobile, desktop, tablet)"],"output_types":["HTML string or markdown or screenshot (rendered from specified region/device)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-crawlbase-mcp__cap_6","uri":"capability://tool.use.integration.mcp.protocol.tool.registration.and.schema.validation","name":"mcp protocol tool registration and schema validation","description":"Registers the three web scraping tools (crawl, crawl_markdown, crawl_screenshot) as MCP tools with standardized JSON schemas, enabling AI clients to discover and invoke them through the MCP protocol. Each tool has a defined schema specifying input parameters (URL, optional request options) and output types (HTML, markdown, or base64 image). Schema validation ensures requests conform to expected types before being forwarded to Crawlbase API.","intents":["I want my AI client to discover available web scraping tools via MCP","I need type-safe tool invocation with schema validation","I want to understand what parameters each web scraping tool accepts"],"best_for":["AI clients implementing MCP protocol support (Claude, Cursor, Windsurf)","Custom AI applications building MCP client integrations","Teams standardizing on MCP for tool discovery and invocation"],"limitations":["Schema validation is limited to basic type checking (no custom validation logic)","Tool schemas are static and cannot be dynamically modified at runtime","No versioning mechanism for tool schemas"],"requires":["Node.js ≥18.0.0","@modelcontextprotocol/sdk package","MCP-compatible AI client"],"input_types":["MCP tool call requests with parameters"],"output_types":["MCP tool response messages"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-crawlbase-mcp__cap_7","uri":"capability://automation.workflow.environment.variable.based.authentication.and.configuration","name":"environment variable-based authentication and configuration","description":"Manages Crawlbase API credentials and server configuration through environment variables (CRAWLBASE_TOKEN, CRAWLBASE_JS_TOKEN, MCP_SERVER_PORT, etc.), supporting both stdio and HTTP deployment modes. Environment variables are loaded at server startup and used to authenticate all requests to the Crawlbase API. Supports .env file loading via dotenv for local development.","intents":["I want to securely manage API credentials without hardcoding them","I need to configure the MCP server for different deployment environments (dev, staging, prod)","I want to use .env files for local development and environment variables for cloud deployments"],"best_for":["Development teams using .env files for local configuration","Cloud deployments (Docker, Kubernetes) using environment variables","Teams following 12-factor app principles for configuration management"],"limitations":["Environment variables are loaded at startup (changes require server restart)","No runtime configuration API or hot-reload support","Credentials are stored in process memory (vulnerable to memory dumps)","No built-in secret rotation or expiration handling"],"requires":["Node.js ≥18.0.0","CRAWLBASE_TOKEN and CRAWLBASE_JS_TOKEN environment variables","Optional: .env file in project root for local development"],"input_types":["environment variables"],"output_types":["configuration object loaded at server startup"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-crawlbase-mcp__cap_8","uri":"capability://data.processing.analysis.content.processing.pipeline.with.boilerplate.removal","name":"content processing pipeline with boilerplate removal","description":"Implements a server-side content processing pipeline that parses HTML, identifies and removes boilerplate content (navigation, footers, ads, sidebars), and extracts main article/content text. This pipeline is used by the crawl_markdown tool to produce clean, LLM-optimized output. The pipeline uses heuristic-based content detection to identify main content blocks and remove noise, improving signal-to-noise ratio for downstream LLM processing.","intents":["I want to extract article text without navigation and ads cluttering the output","I need clean content for feeding into RAG or summarization pipelines","I want to reduce token consumption by removing boilerplate from web content"],"best_for":["Content aggregation and research systems","RAG pipelines requiring clean text input","LLM-powered summarization or analysis tools"],"limitations":["Boilerplate detection is heuristic-based and may fail on unusual page layouts","No control over content detection thresholds or rules","Complex multi-column layouts may not extract correctly","Content detection quality varies by website structure and design"],"requires":["Node.js ≥18.0.0","Crawlbase API tokens"],"input_types":["URL string"],"output_types":["markdown string (cleaned, boilerplate-removed)"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-crawlbase-mcp__cap_9","uri":"capability://safety.moderation.error.handling.and.response.normalization","name":"error handling and response normalization","description":"Implements standardized error handling across all three tools, catching Crawlbase API errors, network failures, and validation errors, and returning normalized error responses through the MCP protocol. Errors include HTTP status codes, error messages, and optional retry hints. Response normalization ensures consistent output format (HTML string, markdown string, or base64 image) regardless of underlying Crawlbase API response variations.","intents":["I want to handle web scraping errors gracefully in my agent code","I need to distinguish between retryable errors (temporary) and permanent failures","I want consistent error response formats across all web scraping tools"],"best_for":["Production AI agents requiring robust error handling","Systems processing many URLs where some failures are expected","Teams building error monitoring and alerting on top of MCP"],"limitations":["Error details are limited to what Crawlbase API returns","No custom error codes or application-specific error types","Error messages may not be user-friendly for non-technical audiences","No built-in error logging or monitoring integration"],"requires":["Node.js ≥18.0.0","Crawlbase API tokens"],"input_types":["MCP tool call requests"],"output_types":["MCP error response with error code and message"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":32,"verified":false,"data_access_risk":"high","permissions":["Node.js ≥18.0.0","CRAWLBASE_TOKEN environment variable (for standard HTML)","CRAWLBASE_JS_TOKEN environment variable (for JavaScript-rendered pages)","Active Crawlbase API account with available quota","CRAWLBASE_TOKEN or CRAWLBASE_JS_TOKEN environment variable","Active Crawlbase API account","Language-specific runtime (Python 3.6+, Java 8+, PHP 7.0+, .NET 6.0+, Node.js 18+)","Language-specific package manager (pip, Maven, Composer, NuGet, npm)","Crawlbase API tokens","CRAWLBASE_JS_TOKEN environment variable (required for screenshot rendering)"],"failure_modes":["Requires valid Crawlbase API tokens (separate tokens for standard vs JS rendering)","Subject to Crawlbase API rate limits and quota constraints","Response latency depends on target page complexity and Crawlbase backend load","No built-in caching — each request hits the live web","Markdown extraction quality depends on page structure and Crawlbase's content detection heuristics","Complex layouts with mixed content types may not convert perfectly to markdown","No control over markdown formatting rules or boilerplate detection thresholds","Requires CRAWLBASE_JS_TOKEN for pages with dynamically-loaded content","SDK feature parity may vary across languages","SDK maintenance burden increases with each supported language","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.47,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.6,"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":"2026-06-17T09:51:03.037Z","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=crawlbase-mcp","compare_url":"https://unfragile.ai/compare?artifact=crawlbase-mcp"}},"signature":"V1AykKJ1P4BK58yacMlJYwqAOBwzr2j567NlUSZ6Zz1mFSdJCs7B8M6JyJCImw3TlGfLcKFDHgXrw4F4zHdyDQ==","signedAt":"2026-06-20T16:06:10.817Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/crawlbase-mcp","artifact":"https://unfragile.ai/crawlbase-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=crawlbase-mcp","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"}}