{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github_mcp-dataforseo-mcp-server-typescript","slug":"mcp-dataforseo-mcp-server-typescript","name":"mcp-server-typescript","type":"mcp","url":"https://github.com/dataforseo/mcp-server-typescript","page_url":"https://unfragile.ai/mcp-dataforseo-mcp-server-typescript","categories":["mcp-servers"],"tags":["ai","aiworkflow","dataforseo","dataforseo-apis","mcp","modelcontextprotocol","seo","seo-optimization","typescript"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github_mcp-dataforseo-mcp-server-typescript__cap_0","uri":"capability://tool.use.integration.mcp.standardized.seo.data.tool.registration.and.discovery","name":"mcp-standardized seo data tool registration and discovery","description":"Implements the Model Context Protocol standard to register SEO tools as discoverable resources that AI agents can invoke. Uses a modular architecture where BaseModule abstract class provides a common interface for tool registration, and McpServer centralizes tool discovery and client connection handling. Each tool is registered with structured metadata (name, description, input schema) that MCP clients can query to understand available capabilities without hardcoding tool knowledge.","intents":["Enable Claude and other MCP-compatible AI agents to discover and call SEO analysis tools dynamically","Standardize how AI agents interact with DataForSEO APIs without custom integration code","Allow multiple AI clients to connect to the same SEO data service through a single standardized interface"],"best_for":["AI agent developers building Claude plugins or multi-tool orchestration systems","Teams deploying SEO analysis as a service for multiple AI clients","Organizations standardizing on MCP for tool integration across AI applications"],"limitations":["MCP protocol overhead adds latency for each tool invocation compared to direct API calls","Tool discovery is static at server startup — dynamic tool registration requires server restart","No built-in caching of tool metadata — clients must re-query discovery on each connection"],"requires":["MCP-compatible client (Claude, custom MCP client library)","Node.js 18+ runtime","DataForSEO API credentials (username/password)"],"input_types":["MCP tool call requests with JSON-serialized parameters"],"output_types":["MCP tool result responses with structured JSON data"],"categories":["tool-use-integration","api-standardization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dataforseo-mcp-server-typescript__cap_1","uri":"capability://search.retrieval.real.time.serp.data.retrieval.with.multi.engine.support","name":"real-time serp data retrieval with multi-engine support","description":"Provides access to real-time search engine results from Google, Bing, and Yahoo through the SERP module, which translates MCP tool calls into DataForSEO SERP API requests. The SerpModule extends BaseModule and registers individual tools for different search queries and parameters. Handles authentication via DataForSEOClient, processes API responses, and returns structured SERP data including rankings, snippets, and metadata in a consistent JSON format.","intents":["Fetch current search rankings for specific keywords across multiple search engines","Analyze competitor visibility in search results for competitive intelligence","Monitor SERP changes over time to track SEO campaign performance","Extract rich snippet data, featured snippets, and knowledge panel information"],"best_for":["SEO professionals building AI-powered rank tracking and competitor analysis tools","Content strategists using AI agents to research keyword opportunities","Marketing teams automating SERP monitoring for campaign keywords"],"limitations":["API rate limits apply per DataForSEO account tier — high-volume queries may require batching","Real-time data has 24-48 hour freshness window depending on DataForSEO crawl schedule","Geographic targeting limited to DataForSEO's supported location list","No historical SERP snapshots — only current results available (use DataForSEO Labs for historical trends)"],"requires":["DataForSEO API credentials with SERP API access","Valid search query and optional location/language parameters","Network connectivity to DataForSEO API endpoints"],"input_types":["JSON parameters: keyword (string), location (optional string), language (optional string), search_engine (optional: 'google'|'bing'|'yahoo')"],"output_types":["Structured JSON with SERP results array containing: rank position, URL, title, snippet, featured snippet data, knowledge panel info"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dataforseo-mcp-server-typescript__cap_10","uri":"capability://data.processing.analysis.market.analysis.and.trend.identification.tools","name":"market analysis and trend identification tools","description":"Implements tools that analyze market-level SEO trends by querying DataForSEO Labs data for emerging keywords, trending topics, and market shifts. Tools accept market/industry parameters and return trend analysis including rising keywords, declining topics, seasonal patterns, and market opportunity assessment. Implements time-series analysis on historical keyword data to identify patterns and forecast trends.","intents":["Identify emerging keywords and trending topics in a market","Analyze seasonal patterns in search demand for planning","Detect market shifts and declining keyword interest","Forecast keyword trends to plan content strategy ahead of demand"],"best_for":["Market researchers analyzing SEO trends for industry reports","Content strategists planning seasonal content calendars","Product teams identifying emerging market opportunities","Agencies forecasting SEO trends for client strategy"],"limitations":["Trend analysis requires 6-12 months of historical data — recent markets may lack sufficient history","Forecasting accuracy limited by data quality and market volatility","Seasonal patterns only reliable for established markets with consistent search behavior","Trend data updated monthly — real-time trend detection not possible"],"requires":["Market/industry context (e.g., 'SaaS', 'fitness', 'real estate')","DataForSEO Labs API access (premium tier)","Optional: time range for historical analysis, geographic market"],"input_types":["JSON parameters: market (string), analysis_type (string: 'emerging_keywords'|'declining_topics'|'seasonal_patterns'|'trend_forecast'), time_range_months (optional integer)"],"output_types":["Structured JSON with trend analysis: emerging_keywords array with growth_rate, declining_keywords array with decline_rate, seasonal_patterns object, forecast_summary"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dataforseo-mcp-server-typescript__cap_11","uri":"capability://tool.use.integration.extensible.tool.framework.for.custom.dataforseo.api.integrations","name":"extensible tool framework for custom dataforseo api integrations","description":"Provides BaseTool abstract class and module extension patterns that enable developers to add new tools for DataForSEO APIs not yet implemented in the server. Developers extend BaseTool, implement execute method with API call logic, and register the tool with a module. The framework handles MCP protocol integration, parameter validation, and response formatting automatically. Includes development guide and examples for adding new tools and modules.","intents":["Add support for new DataForSEO APIs as they become available","Implement custom tools for proprietary or experimental DataForSEO endpoints","Extend the server with tools for internal APIs or data sources","Customize tool behavior for specific use cases without modifying core server"],"best_for":["Teams maintaining long-term MCP server deployments with evolving API needs","Organizations building custom tools on top of DataForSEO APIs","Developers contributing new tools back to the open-source project"],"limitations":["Framework documentation minimal — developers must study existing tool implementations as examples","No code generation or scaffolding tools — manual implementation required for each tool","Type safety depends on developer discipline — no compile-time validation of tool schemas","Testing framework not provided — developers must write own tests"],"requires":["TypeScript knowledge (project written in TypeScript)","Understanding of BaseTool abstract class and module pattern","DataForSEO API documentation for the endpoint being integrated","Node.js 18+ development environment"],"input_types":["Tool implementation extending BaseTool class"],"output_types":["Registered tool available through MCP discovery"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dataforseo-mcp-server-typescript__cap_2","uri":"capability://data.processing.analysis.keyword.research.metrics.aggregation.and.analysis","name":"keyword research metrics aggregation and analysis","description":"Exposes DataForSEO's Keywords Data API through the KeywordsDataModule, enabling AI agents to retrieve keyword research metrics including search volume, CPC, competition level, and trend data. The module registers tools that translate keyword queries into DataForSEO API calls, aggregate metrics across data sources, and return structured keyword intelligence. Handles parameter validation for keyword lists, geographic targeting, and language selection before forwarding to the DataForSEO backend.","intents":["Retrieve search volume and CPC data for keyword lists to prioritize content topics","Analyze keyword competition and difficulty scores to identify low-hanging fruit opportunities","Get keyword trend data to understand seasonal patterns and emerging search interests","Compare keyword metrics across geographic markets for localization strategy"],"best_for":["Content strategists using AI to identify high-ROI keyword targets","SEO agencies automating keyword research for client proposals","Product teams researching market demand through search volume analysis"],"limitations":["Batch keyword queries limited to DataForSEO's API batch size (typically 100-1000 keywords per request)","Keyword metrics updated monthly, not real-time — freshness depends on DataForSEO's data refresh cycle","CPC data only available for Google Ads markets; limited for emerging markets","Trend data requires historical lookback window (minimum 3-6 months for reliable patterns)"],"requires":["DataForSEO API credentials with Keywords Data API access","Keyword list (single keyword or array of keywords)","Optional: location code, language code, search engine selection"],"input_types":["JSON parameters: keywords (string|array), location (optional string), language (optional string), include_serp_features (optional boolean)"],"output_types":["Structured JSON array with per-keyword metrics: search_volume, cpc, competition_index, trend_data, related_keywords"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dataforseo-mcp-server-typescript__cap_3","uri":"capability://data.processing.analysis.website.on.page.seo.analysis.and.crawl.data.retrieval","name":"website on-page seo analysis and crawl data retrieval","description":"Implements the OnPage module to provide website crawling and on-page SEO performance analysis through DataForSEO's OnPage API. Tools in this module accept target URLs and return structured crawl data including page metadata, technical SEO issues, content analysis, and performance metrics. The module handles crawl job submission, polling for completion, and result aggregation into a unified response format that AI agents can interpret for SEO recommendations.","intents":["Analyze on-page SEO factors (meta tags, headers, content length, keyword density) for specific URLs","Identify technical SEO issues (broken links, duplicate content, crawl errors) across a website","Extract page structure and content metrics to assess content quality and optimization","Compare on-page metrics across competitor websites for benchmarking"],"best_for":["SEO auditors automating on-page analysis for client websites","Content teams optimizing pages based on AI-generated SEO recommendations","Technical SEO specialists diagnosing crawlability and indexation issues"],"limitations":["Crawl jobs are asynchronous — results not immediately available; typical latency 5-30 minutes depending on site size","Large websites (10,000+ pages) require multiple crawl jobs or sampling strategies","JavaScript-rendered content analysis limited — primarily analyzes HTML source","Crawl depth and scope limited by DataForSEO's crawl budget per account tier"],"requires":["DataForSEO API credentials with OnPage API access","Valid target URL (must be publicly accessible)","Optional: crawl depth, page limit, custom crawl rules"],"input_types":["JSON parameters: target_url (string), crawl_depth (optional integer), max_pages (optional integer), include_subdomains (optional boolean)"],"output_types":["Structured JSON with crawl results: page_count, crawl_status, pages array with per-page metrics (meta tags, headers, content length, issues), technical_issues summary"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dataforseo-mcp-server-typescript__cap_4","uri":"capability://data.processing.analysis.advanced.seo.data.access.from.proprietary.dataforseo.labs.database","name":"advanced seo data access from proprietary dataforseo labs database","description":"Exposes DataForSEO Labs API through the DataForSEOLabsModule, providing access to proprietary SEO databases including historical SERP data, keyword difficulty scores, backlink metrics, and domain authority estimates. Tools in this module query DataForSEO's aggregated SEO intelligence database rather than real-time crawls, enabling historical analysis and trend identification. Implements caching strategies for frequently-accessed metrics to reduce API calls.","intents":["Access historical SERP rankings and keyword position trends over months/years","Retrieve keyword difficulty and opportunity scores for strategic keyword selection","Analyze backlink profiles and domain authority for competitive benchmarking","Identify emerging keywords and trending topics from DataForSEO's proprietary data"],"best_for":["SEO strategists performing deep competitive analysis with historical context","Agencies building long-term SEO roadmaps based on trend analysis","Researchers studying SEO patterns and market dynamics"],"limitations":["Data freshness varies by metric — some updated daily, others monthly","Historical data retention limited to DataForSEO's data warehouse (typically 2-3 years)","Proprietary metrics (keyword difficulty, opportunity scores) use DataForSEO's algorithms — not directly comparable to other tools","Query complexity limits — advanced filters may require multiple API calls"],"requires":["DataForSEO API credentials with DataForSEO Labs API access (premium tier)","Query parameters (keyword, domain, or metric type)","Optional: date range for historical queries"],"input_types":["JSON parameters: query_type (string: 'keyword_difficulty'|'domain_metrics'|'historical_serp'|'trending_keywords'), target (string), date_from (optional ISO date), date_to (optional ISO date)"],"output_types":["Structured JSON with metric-specific results: difficulty_score, opportunity_score, historical_positions array, trend_direction, competitive_landscape"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dataforseo-mcp-server-typescript__cap_5","uri":"capability://tool.use.integration.modular.tool.composition.with.selective.api.access.control","name":"modular tool composition with selective api access control","description":"Implements a modular architecture where functionality is organized into independent modules (SERP, KeywordsData, OnPage, DataForSEOLabs) that extend BaseModule abstract class. Each module registers its own set of tools and can be selectively enabled/disabled through configuration without modifying code. The McpServer loads enabled modules at startup and registers their tools, allowing operators to control which DataForSEO APIs are exposed to clients based on subscription tier or security policy.","intents":["Enable/disable specific SEO API modules based on customer subscription tier","Restrict access to expensive APIs (OnPage crawls) while exposing cheaper ones (keyword metrics)","Organize code by API domain to simplify maintenance and testing","Add new DataForSEO API modules without modifying core server code"],"best_for":["SaaS platforms offering tiered SEO tool access with different feature sets","Teams managing multiple DataForSEO API subscriptions with different access levels","Organizations extending the server with custom modules for proprietary APIs"],"limitations":["Module enable/disable requires server restart — no hot-reloading of module configuration","No per-tool rate limiting — rate limits apply at DataForSEO API account level","Module dependencies not explicitly declared — circular dependencies possible if custom modules added","Configuration validation minimal — invalid module names silently ignored"],"requires":["Configuration file or environment variables specifying enabled modules","Module implementations extending BaseModule class","Node.js module resolution (CommonJS or ES modules)"],"input_types":["Configuration object: { modules: { SERP: true, KEYWORDS_DATA: true, ONPAGE: false, DATAFORSEO_LABS: false } }"],"output_types":["Loaded module instances with registered tools available for MCP discovery"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dataforseo-mcp-server-typescript__cap_6","uri":"capability://tool.use.integration.authenticated.dataforseo.api.client.with.connection.pooling","name":"authenticated dataforseo api client with connection pooling","description":"Implements DataForSEOClient class that handles authentication (username/password credentials), request signing, and HTTP connection management to DataForSEO's API endpoints. The client abstracts authentication complexity from individual tools, implementing credential storage, token refresh (if applicable), and connection pooling to reduce overhead for multiple concurrent requests. All tools use this shared client instance, ensuring consistent authentication and efficient resource utilization.","intents":["Authenticate to DataForSEO APIs using provided credentials without exposing credentials in tool code","Manage API connection lifecycle and pooling for efficient resource usage","Handle authentication errors and credential refresh transparently","Support multiple DataForSEO accounts through credential configuration"],"best_for":["Teams deploying MCP server with DataForSEO API credentials","Multi-tenant SaaS platforms needing per-customer credential isolation","High-throughput deployments requiring connection pooling"],"limitations":["Credentials stored in environment variables or config files — no built-in secrets management (requires external vault like AWS Secrets Manager)","No automatic credential rotation — manual credential updates required","Connection pool size fixed at startup — no dynamic scaling based on load","No request retry logic — failed requests not automatically retried"],"requires":["DataForSEO API username and password","Environment variables or config file with credentials","Network connectivity to DataForSEO API endpoints (api.dataforseo.com)"],"input_types":["Configuration: { username: string, password: string }"],"output_types":["Authenticated HTTP client instance ready for API requests"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dataforseo-mcp-server-typescript__cap_7","uri":"capability://tool.use.integration.tool.parameter.validation.and.schema.enforcement","name":"tool parameter validation and schema enforcement","description":"Implements BaseTool abstract class that provides common parameter validation and request/response handling for all tools. Each tool defines its input schema (required parameters, types, constraints) which is validated before API calls are made. The validation layer catches invalid parameters early, provides clear error messages to clients, and prevents malformed requests from reaching DataForSEO APIs. Response formatting is standardized across all tools to ensure consistent output structure.","intents":["Validate tool parameters before making expensive API calls to DataForSEO","Provide clear error messages when clients pass invalid parameters","Enforce consistent input/output schemas across all tools","Prevent malformed requests that would fail at DataForSEO API level"],"best_for":["Teams building robust MCP servers with strict parameter validation","Deployments requiring clear error messages for debugging client issues","Systems needing consistent tool interface across multiple modules"],"limitations":["Validation logic duplicated across tools — no centralized schema definition (e.g., JSON Schema)","Complex parameter constraints (e.g., 'keyword length must be 1-100 chars') implemented per-tool","No automatic OpenAPI/JSON Schema generation from tool definitions","Validation errors don't include suggestions for valid parameter values"],"requires":["Tool implementation extending BaseTool class","Parameter validation logic in tool's execute method","Error handling for validation failures"],"input_types":["JSON tool parameters matching tool's input schema"],"output_types":["Validated parameters passed to API, or validation error response"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dataforseo-mcp-server-typescript__cap_8","uri":"capability://data.processing.analysis.competitor.research.tool.aggregation","name":"competitor research tool aggregation","description":"Provides a set of tools within the SERP and KeywordsData modules that aggregate competitor research data by combining SERP rankings, keyword metrics, and backlink analysis. Tools accept competitor domain(s) as input and return aggregated intelligence including keywords they rank for, their search visibility, estimated traffic, and content strategy insights. Implements multi-step queries (SERP lookup → keyword metrics → Labs data) to build comprehensive competitor profiles.","intents":["Identify keywords competitors rank for to find content gaps and opportunities","Estimate competitor organic traffic and search visibility","Analyze competitor content strategy and topic focus","Track competitor ranking changes over time"],"best_for":["Competitive intelligence teams building market analysis reports","Content strategists identifying content gaps vs competitors","SEO agencies benchmarking client performance against competitors"],"limitations":["Competitor analysis requires multiple API calls (SERP + keyword metrics + Labs data) — latency 30-60 seconds for comprehensive profile","Estimated traffic based on ranking position and search volume — not actual analytics data","Limited to top 100 ranking keywords per domain (DataForSEO API limitation)","Backlink data only available through DataForSEO Labs (premium tier)"],"requires":["Competitor domain name(s)","DataForSEO API access to SERP, Keywords Data, and optionally Labs modules","Geographic market and language context"],"input_types":["JSON parameters: competitor_domain (string), market (optional string), language (optional string), include_backlinks (optional boolean)"],"output_types":["Structured JSON with competitor profile: top_keywords array, estimated_traffic, visibility_score, content_topics, ranking_changes, backlink_summary (if available)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-dataforseo-mcp-server-typescript__cap_9","uri":"capability://data.processing.analysis.keyword.research.tool.suite.with.opportunity.scoring","name":"keyword research tool suite with opportunity scoring","description":"Implements a set of keyword research tools that combine search volume, CPC, competition metrics, and trend data to identify high-opportunity keywords. Tools accept seed keywords or topics and return ranked keyword lists with opportunity scores calculated from multiple factors (search volume, competition, trend direction, CPC). Implements filtering and sorting logic to surface keywords matching specific criteria (high volume + low competition, emerging trends, high-value niches).","intents":["Find high-opportunity keywords for content creation based on volume/competition balance","Identify emerging keywords with rising search interest","Discover long-tail keyword variations with lower competition","Find high-value keywords (high CPC) for paid search or premium content"],"best_for":["Content strategists building keyword-driven content calendars","SEO teams prioritizing keyword targets for optimization campaigns","Product teams researching market demand through keyword analysis"],"limitations":["Opportunity scoring algorithm proprietary to DataForSEO — not customizable","Keyword suggestions limited to DataForSEO's database — may miss very new or niche keywords","Trend data requires historical lookback — emerging trends only visible after 3-6 months of data","CPC data only available for Google Ads markets; limited for non-English markets"],"requires":["Seed keyword(s) or topic","DataForSEO API access to Keywords Data and Labs modules","Optional: target market, language, search engine"],"input_types":["JSON parameters: seed_keyword (string), market (optional string), language (optional string), filters (optional object with min_volume, max_competition, min_cpc)"],"output_types":["Structured JSON with ranked keyword list: keyword, search_volume, cpc, competition_score, opportunity_score, trend_direction, related_keywords"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"high","permissions":["MCP-compatible client (Claude, custom MCP client library)","Node.js 18+ runtime","DataForSEO API credentials (username/password)","DataForSEO API credentials with SERP API access","Valid search query and optional location/language parameters","Network connectivity to DataForSEO API endpoints","Market/industry context (e.g., 'SaaS', 'fitness', 'real estate')","DataForSEO Labs API access (premium tier)","Optional: time range for historical analysis, geographic market","TypeScript knowledge (project written in TypeScript)"],"failure_modes":["MCP protocol overhead adds latency for each tool invocation compared to direct API calls","Tool discovery is static at server startup — dynamic tool registration requires server restart","No built-in caching of tool metadata — clients must re-query discovery on each connection","API rate limits apply per DataForSEO account tier — high-volume queries may require batching","Real-time data has 24-48 hour freshness window depending on DataForSEO crawl schedule","Geographic targeting limited to DataForSEO's supported location list","No historical SERP snapshots — only current results available (use DataForSEO Labs for historical trends)","Trend analysis requires 6-12 months of historical data — recent markets may lack sufficient history","Forecasting accuracy limited by data quality and market volatility","Seasonal patterns only reliable for established markets with consistent search behavior","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.30677543328974366,"quality":0.34,"ecosystem":0.6000000000000001,"match_graph":0.25,"freshness":0.75,"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":"2026-05-24T12:16:22.065Z","last_scraped_at":"2026-05-03T14:23:38.365Z","last_commit":"2026-04-21T09:21:07Z"},"community":{"stars":187,"forks":107,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=mcp-dataforseo-mcp-server-typescript","compare_url":"https://unfragile.ai/compare?artifact=mcp-dataforseo-mcp-server-typescript"}},"signature":"8CNSsxaEct08G6fr1t2VIv81sCVGT89a9oaVaoKSRxat8GjoYKhtlJfiUl2h1mJzO/yJU6D5ksJg9HMpVvT/Ag==","signedAt":"2026-06-20T23:43:24.392Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mcp-dataforseo-mcp-server-typescript","artifact":"https://unfragile.ai/mcp-dataforseo-mcp-server-typescript","verify":"https://unfragile.ai/api/v1/verify?slug=mcp-dataforseo-mcp-server-typescript","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"}}