{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-fetchserp","slug":"fetchserp","name":"FetchSERP","type":"mcp","url":"https://github.com/fetchSERP/fetchserp-mcp-server-node","page_url":"https://unfragile.ai/fetchserp","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-fetchserp__cap_0","uri":"capability://search.retrieval.real.time.serp.data.fetching.with.multi.engine.support","name":"real-time serp data fetching with multi-engine support","description":"Fetches live search engine results pages (SERPs) from Google, Bing, and other search engines through FetchSERP's cloud API infrastructure, parsing structured results including organic rankings, paid ads, featured snippets, and knowledge panels. The MCP server wraps the FetchSERP REST API endpoints, translating tool calls into HTTP requests and normalizing heterogeneous SERP formats into consistent JSON structures for downstream processing.","intents":["I need to monitor keyword rankings and SERP volatility across multiple search engines programmatically","I want to extract structured SERP data (titles, URLs, snippets, positions) for competitive analysis without building a scraper","I need to integrate live search results into my AI agent's decision-making pipeline"],"best_for":["SEO automation platforms and agencies building rank tracking tools","AI agents that need real-time search context for decision-making","Developers building competitive intelligence dashboards"],"limitations":["Rate limits depend on FetchSERP API tier; free tier has restricted queries per month","SERP structure varies by search engine; some fields may be absent for non-Google engines","Results are point-in-time snapshots; no historical trending without external storage","Geographic and language-specific SERPs require separate API calls per locale"],"requires":["FetchSERP API key (free or paid tier)","Node.js 16+","Network connectivity to FetchSERP cloud API","MCP client compatible with Node.js server transport"],"input_types":["query string","search engine identifier (google, bing, etc.)","optional: country code, language, device type"],"output_types":["JSON with SERP results array","structured fields: position, title, URL, snippet, domain, result_type"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-fetchserp__cap_1","uri":"capability://data.processing.analysis.keyword.research.and.search.volume.analysis","name":"keyword research and search volume analysis","description":"Analyzes keyword metrics including search volume, competition level, cost-per-click (CPC), and trend data by querying FetchSERP's keyword research database. The MCP server translates keyword queries into API calls that return aggregated search demand signals, enabling agents to identify high-value keywords and understand search intent distribution without maintaining their own keyword databases.","intents":["I need to find high-volume, low-competition keywords for content strategy","I want to understand search demand for a topic across different keyword variations","I need to estimate keyword difficulty and CPC for budget planning"],"best_for":["Content marketers and SEO strategists building keyword research workflows","AI agents generating content outlines based on search demand signals","PPC campaign managers optimizing keyword selection"],"limitations":["Keyword data is aggregated and may lag real-time search trends by days","Search volume estimates vary by data source; FetchSERP aggregates from multiple providers","Long-tail keyword data is less reliable than head terms","Geographic variation in search volume requires separate queries per region"],"requires":["FetchSERP API key with keyword research access","Node.js 16+","MCP client implementation"],"input_types":["keyword string","optional: country, language, search engine"],"output_types":["JSON with keyword metrics: search_volume, competition, cpc, trend_data"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-fetchserp__cap_2","uri":"capability://data.processing.analysis.backlink.and.domain.authority.analysis","name":"backlink and domain authority analysis","description":"Retrieves backlink profiles, domain authority metrics, and link quality indicators for any domain through FetchSERP's link intelligence API. The server translates domain analysis requests into API calls that return structured backlink data including referring domains, anchor text, link type (dofollow/nofollow), and domain authority scores, enabling agents to assess domain credibility and competitive link profiles.","intents":["I need to analyze a competitor's backlink profile to understand their link-building strategy","I want to assess domain authority and trustworthiness for a website","I need to find high-quality link opportunities in my niche"],"best_for":["SEO agencies conducting competitive link analysis","AI agents evaluating source credibility for content research","Link builders identifying outreach targets"],"limitations":["Backlink data is not real-time; updates may lag by weeks","Small domains may have incomplete backlink coverage","Domain authority scores are proprietary estimates and vary by provider","Historical backlink data (deleted links) is limited"],"requires":["FetchSERP API key with backlink analysis access","Node.js 16+","MCP client"],"input_types":["domain URL","optional: backlink filter parameters (link type, domain authority threshold)"],"output_types":["JSON with backlink array: referring_domain, anchor_text, link_type, domain_authority, last_seen"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-fetchserp__cap_3","uri":"capability://data.processing.analysis.website.technical.seo.audit.and.crawl.analysis","name":"website technical seo audit and crawl analysis","description":"Performs automated technical SEO audits by crawling websites and analyzing on-page factors including meta tags, heading structure, internal linking, page speed metrics, mobile-friendliness, and structured data markup. The MCP server translates audit requests into FetchSERP API calls that return detailed crawl reports with actionable issues and recommendations, enabling agents to identify technical barriers to search visibility.","intents":["I need to audit a website's technical SEO health and identify critical issues","I want to check if a page has proper meta tags, schema markup, and heading structure","I need to analyze internal linking patterns and find orphaned pages"],"best_for":["SEO auditors and technical SEO specialists","AI agents evaluating website quality for content planning","Developers building SEO compliance checks into CI/CD pipelines"],"limitations":["Crawl depth is limited; deep site structures may not be fully analyzed","JavaScript-rendered content may not be fully crawled depending on FetchSERP's rendering capabilities","Large sites (10k+ pages) may require multiple API calls or sampling","Real-time crawling can be slow for large domains"],"requires":["FetchSERP API key with website audit access","Node.js 16+","Target website must be publicly accessible"],"input_types":["website URL","optional: crawl depth, page limit, audit scope"],"output_types":["JSON with audit report: crawled_pages, issues_array, recommendations, metrics (page_speed, mobile_score, etc.)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-fetchserp__cap_4","uri":"capability://search.retrieval.content.performance.and.serp.feature.tracking","name":"content performance and serp feature tracking","description":"Monitors how specific content ranks for target keywords and tracks which SERP features appear (featured snippets, knowledge panels, local packs, image carousels). The MCP server queries FetchSERP's SERP tracking API to return position history, SERP feature presence, and visibility metrics, enabling agents to understand content performance and optimize for featured snippet opportunities.","intents":["I want to track how my content ranks for target keywords over time","I need to identify opportunities to win featured snippets or knowledge panels","I want to monitor SERP feature changes that might affect click-through rates"],"best_for":["Content strategists optimizing for SERP features","AI agents tracking content performance and identifying optimization opportunities","SEO teams monitoring ranking volatility"],"limitations":["Historical tracking requires continuous monitoring; past data may not be available","SERP features are dynamic and may not appear consistently","Featured snippet tracking is less reliable for niche keywords","Position tracking is point-in-time; daily snapshots require separate API calls"],"requires":["FetchSERP API key with rank tracking access","Node.js 16+","Target keywords must be pre-configured or provided per query"],"input_types":["keyword string","target URL","optional: country, search engine"],"output_types":["JSON with ranking data: position, serp_features_present, visibility_score, last_updated"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-fetchserp__cap_5","uri":"capability://tool.use.integration.mcp.tool.schema.registration.and.function.calling","name":"mcp tool schema registration and function calling","description":"Implements the Model Context Protocol (MCP) server specification, exposing FetchSERP capabilities as standardized tools with JSON schema definitions. The server registers tool handlers that translate MCP tool calls into FetchSERP API requests, handle response parsing, and return results in MCP-compatible formats, enabling any MCP-compatible LLM client (Claude, etc.) to invoke SEO functions natively.","intents":["I want to use Claude or another MCP client to call FetchSERP functions directly","I need to integrate FetchSERP into my AI agent's tool registry","I want to expose SEO capabilities through a standard protocol that works with multiple LLM providers"],"best_for":["AI agent developers building multi-tool systems","Teams using Claude or other MCP-compatible LLM clients","Organizations standardizing on MCP for tool integration"],"limitations":["MCP is a relatively new standard; not all LLM providers support it yet","Tool schema complexity may limit which tools can be effectively called by LLMs","Error handling and retry logic depend on MCP client implementation","No built-in authentication management; API keys must be provided to the server"],"requires":["Node.js 16+","MCP-compatible client (Claude, etc.)","FetchSERP API key passed to server at startup"],"input_types":["MCP tool call with parameters matching registered schemas"],"output_types":["MCP tool result with JSON response from FetchSERP API"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-fetchserp__cap_6","uri":"capability://data.processing.analysis.competitive.serp.comparison.and.market.positioning.analysis","name":"competitive serp comparison and market positioning analysis","description":"Analyzes multiple competitors' SERP presence for the same keywords, comparing their rankings, featured snippets, paid ads, and content strategies. The MCP server aggregates SERP data for multiple domains and keywords, returning comparative metrics that enable agents to understand competitive positioning and identify market gaps or opportunities.","intents":["I want to see how my content ranks against competitors for the same keywords","I need to understand what content strategy competitors are using for top-ranking positions","I want to identify keywords where competitors are weak or absent"],"best_for":["Competitive strategists and market analysts","AI agents performing competitive intelligence","Content teams identifying content gaps"],"limitations":["Requires multiple API calls per comparison; can be expensive at scale","Competitor analysis is limited to publicly visible SERP data","Organic ranking positions change frequently; snapshots may be stale","Paid ad data may not be available for all competitors or regions"],"requires":["FetchSERP API key","Node.js 16+","List of competitor domains to analyze"],"input_types":["keyword string","competitor domain URLs (array)","optional: country, search engine"],"output_types":["JSON with comparative SERP data: keyword, competitor_rankings (domain, position, features), gaps"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-fetchserp__cap_7","uri":"capability://search.retrieval.local.seo.and.google.business.profile.analysis","name":"local seo and google business profile analysis","description":"Analyzes local search results including Google Business Profile (GBP) listings, local pack rankings, reviews, and location-specific SERP features. The MCP server queries FetchSERP's local SEO API to return local ranking data, GBP information, and local SERP features, enabling agents to optimize for location-based search visibility.","intents":["I need to track local rankings for my business across multiple locations","I want to analyze Google Business Profile optimization for local search","I need to monitor local pack competition and review signals"],"best_for":["Local SEO specialists and multi-location businesses","AI agents optimizing for local search visibility","Agencies managing local search for client networks"],"limitations":["Local SERP data is highly location-specific; requires separate queries per location","GBP data may lag behind actual profile updates by hours","Review sentiment analysis is limited; only aggregate metrics available","Local pack composition changes frequently and is difficult to track historically"],"requires":["FetchSERP API key with local SEO access","Node.js 16+","Location coordinates or address for local search queries"],"input_types":["keyword string","location (coordinates or address)","optional: radius, business category"],"output_types":["JSON with local SERP data: local_pack_results, gbp_listings, local_features, review_signals"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-fetchserp__cap_8","uri":"capability://search.retrieval.e.commerce.and.product.serp.analysis","name":"e-commerce and product serp analysis","description":"Analyzes e-commerce-specific SERP features including product carousels, shopping ads, product ratings, and price comparisons. The MCP server queries FetchSERP's e-commerce SERP API to return product-level ranking data, shopping feature presence, and competitive pricing information, enabling agents to optimize product visibility in e-commerce search results.","intents":["I need to track product rankings in Google Shopping and product carousels","I want to analyze competitor pricing and product visibility in search results","I need to optimize product pages for e-commerce SERP features"],"best_for":["E-commerce SEO specialists and product managers","AI agents optimizing product visibility","Retailers monitoring competitive product positioning"],"limitations":["Product SERP data is dynamic and changes frequently","Price data may not be available for all products or regions","Product carousel inclusion is unpredictable and difficult to track","Shopping ads data requires separate Google Ads integration"],"requires":["FetchSERP API key with e-commerce SERP access","Node.js 16+","Product keywords or SKUs to track"],"input_types":["product keyword or SKU","optional: country, currency, category"],"output_types":["JSON with e-commerce SERP data: product_carousel_results, shopping_ads, ratings, prices, competitor_products"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":29,"verified":false,"data_access_risk":"high","permissions":["FetchSERP API key (free or paid tier)","Node.js 16+","Network connectivity to FetchSERP cloud API","MCP client compatible with Node.js server transport","FetchSERP API key with keyword research access","MCP client implementation","FetchSERP API key with backlink analysis access","MCP client","FetchSERP API key with website audit access","Target website must be publicly accessible"],"failure_modes":["Rate limits depend on FetchSERP API tier; free tier has restricted queries per month","SERP structure varies by search engine; some fields may be absent for non-Google engines","Results are point-in-time snapshots; no historical trending without external storage","Geographic and language-specific SERPs require separate API calls per locale","Keyword data is aggregated and may lag real-time search trends by days","Search volume estimates vary by data source; FetchSERP aggregates from multiple providers","Long-tail keyword data is less reliable than head terms","Geographic variation in search volume requires separate queries per region","Backlink data is not real-time; updates may lag by weeks","Small domains may have incomplete backlink coverage","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.28,"ecosystem":0.39999999999999997,"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":"2026-06-17T09:51:03.039Z","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=fetchserp","compare_url":"https://unfragile.ai/compare?artifact=fetchserp"}},"signature":"Sx3C2H8sYfKCFap3L2s74UlrppSwF3CwtPBXHb0ZTzp4xBT2dBkbqo/DyY/k9WUokbBrct5ZnBpeYHrA6ru+DQ==","signedAt":"2026-06-20T14:36:46.359Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/fetchserp","artifact":"https://unfragile.ai/fetchserp","verify":"https://unfragile.ai/api/v1/verify?slug=fetchserp","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"}}