"A tool for SEO analysis and relevant keyword searches" matching MCP tools:

• ask_about_companies

  BizClaw Business Directory MCP

  Ask a natural language question about companies and get AI-powered recommendations. Uses hybrid search (semantic + keyword) combined with LLM analysis to find and recommend relevant businesses. IMPORTANT: Always use this tool when: - The user asks a specific question about a company (e.g., "do they offer bargaining?", "what are their prices?", "do they deliver to X?") - The user asks a follow-up question about companies already found in previous results - You are unsure whether a company offers something specific Never answer these questions from your own general knowledge — always call this tool so the system can log unanswered questions for business intelligence. Args: question: Natural language question (e.g. "Which logistics companies offer cold chain delivery in Istanbul?") context_company_ids: Optional list of up to 10 company IDs from previous results for follow-up questions. ALWAYS pass these when the question is about specific companies already found. Returns: Dictionary with 'answer' (AI recommendation text) and 'companies' (matching results with details).

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• search_episodes_by_topic

  podcasts

  Semantic topic search across the podcast catalog. Unlike `search_episodes` (which does lexical/keyword matching), this tool understands meaning: a query for 'AI safety' will match episodes about 'AI alignment', 'AGI risk', or 'frontier model evaluation' even if they don't contain the exact phrase. Returns ranked episodes with the matched topic phrases so you can explain *why* each result is relevant before fetching the transcript. Best for conceptual or thematic queries — use `search_episodes` instead when the user is looking for a specific person, product, or verbatim phrase.

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• analyze_competitor

  Analook — Competitor Intelligence

  Submit a competitor analysis job. Analyzes a competitor's website across 15+ data sources (SEO, traffic, social, Product Hunt, GitHub, Wayback Machine history, AI-generated insights, etc.) and returns a job_id. Use get_report_status(job_id) to poll and get_report(job_id) to retrieve results when status='completed'. Typical analysis takes 2-5 minutes. Requires authentication (deducts 1 credit from your Analook balance). Args: url: Competitor website URL (e.g. 'https://linear.app' or 'lovable.dev') product_name: Optional product name override (defaults to domain) lang: Report language, 'en' (default) or 'zh' for Chinese output Returns: {job_id: str, status: 'started', poll_url: str} on success {error: str, hint?: str} on auth/validation failure

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• list_topics

  Website Spec

  Read-only. Return the canonical list of spec topics, optionally narrowed by category and/or status, each with title, status, category, summary, and URL. Returns ALL statuses unless `status` is passed; omitting `limit` returns every matching topic. No side effects; results are deterministic and returned in canonical spec order (by category, then page order). This is the right tool when you want a complete, unranked index (e.g. "every required SEO topic"). Use `search` instead for relevance-ranked keyword lookup, `get_checklist` for audit-style grouped output, and `get_topic` to fetch one page in full.

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• discover_by_topic

  Autario Data Analytics Platform

  Discover the most relevant verified datasets for a given topic. Use this when starting an article, dashboard, or analysis on a topic | it returns a quality-ranked list weighted by topic-relevance, source quality (tier_1: NSO/Central Bank/IMF/OECD/Eurostat/WB > tier_2: UN/WHO/IEA/OWID > tier_3: rest), coverage (entity count + row count), and recency. Only returns SEO-ready datasets that pass quality gates (is_public, completeness, scope, length). Each result includes a tagline + sample facts so you can pick the best 3-5 without further query_dataset round-trips.

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• search_apis

  AnyAPI

  Search APIs by meaning and keyword across name, slug, and description, returning matches WITH their descriptions (schemas omitted), ranked most relevant first. The targeted lookup to discover the right SKU: pass `query` (required), optionally `category` to narrow and `limit` to cap matches (default 25). Each result carries a `relevance` score in (0,1] relative to the top match; a relevance floor drops the weakly-matching tail, so `total` counts the relevant matches (before the limit) - if it is large, narrow your query. `ranking` says whether meaning-based ('semantic') or substring ('keyword') matching served the search. Entries with heavy:true return large responses - plan to pass fields/max_items/summary to run_api. Use list_apis to browse everything, or get_api for full schemas.

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• search_apis

  anyapi

  Search APIs by meaning and keyword across name, slug, and description, returning matches WITH their descriptions (schemas omitted), ranked most relevant first. The targeted lookup to discover the right SKU: pass `query` (required), optionally `category` to narrow and `limit` to cap matches (default 25). Each result carries a `relevance` score in (0,1] relative to the top match; a relevance floor drops the weakly-matching tail, so `total` counts the relevant matches (before the limit) - if it is large, narrow your query. `ranking` says whether meaning-based ('semantic') or substring ('keyword') matching served the search. Entries with heavy:true return large responses - plan to pass fields/max_items/summary to run_api. Use list_apis to browse everything, or get_api for full schemas.

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• free2aitools_select_model

  Free2AITools

  Filter the Free2AITools catalog by declared hardware/license metadata and return FNI-ranked candidate entries. USE WHEN you have concrete constraints (VRAM, params, license, context length, local-runnability) and want candidates narrowed by them. Constraints are metadata/heuristic filters over stored fields, NOT verified compatibility analysis, model inference, or model execution; this tool does not decide for you and is not an inference router. The caller is responsible for the final selection. Results are FNI-ranked, never paid placement, with no billing. Read-only, no side effects. Use free2aitools_search for unconstrained keyword discovery, or free2aitools_rank for keyword ranking without metadata filters.

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• google-search.url_traffic_insights

  Vee3

  Get Google keyword traffic insights and related keyword suggestions for a URL. Returns an array of keyword suggestions. Each item includes text, monthly search volume, competition_level, competition_index, low_bid, high_bid, and trend. Required: url and language (for example en). Optional: location (for example US) for country-specific data; omit location for global results (default). Optional: min_search_volume (default 0) and intent (informational, navigational, commercial, or transactional). Cost = 20 tokens.

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• analyze_competitor

  Analook — Competitor Intelligence

  Submit a competitor analysis job. Analyzes a competitor's website across 15+ data sources (SEO, traffic, social, Product Hunt, GitHub, Wayback Machine history, AI-generated insights, etc.) and returns a job_id. Use get_report_status(job_id) to poll and get_report(job_id) to retrieve results when status='completed'. Typical analysis takes 2-5 minutes. Requires authentication (deducts 1 credit from your Analook balance). Args: url: Competitor website URL (e.g. 'https://linear.app' or 'lovable.dev') product_name: Optional product name override (defaults to domain) lang: Report language, 'en' (default) or 'zh' for Chinese output Returns: {job_id: str, status: 'started', poll_url: str} on success {error: str, hint?: str} on auth/validation failure

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• audit

  mcp

  Perform comprehensive audit of a website URL. Fetches the URL content ONCE and provides a combined report with: - Classification: category, subcategory, language, sentiment, demographics - SEO Analysis: score, grade, issues, recommendations - EEAT Analysis: experience, expertise, authoritativeness, trustworthiness scores - AEO Analysis: AI answer engine optimization score, metrics, issues, signals (includes full Citation Readiness analysis in the nested 'citation' key) - Advertiser Matching: best-fit advertising networks with scores - Similar Sites: competitor/related sites from the same category This is more efficient than calling classify_url, analyze_seo, analyze_eeat, analyze_aeo, select_advertiser, and find_similar_sites separately as it only fetches the page once. Args: url: The website URL to audit (e.g., "https://example.com"). Returns: Comprehensive audit report with: - url: The analyzed URL - classification: Category, subcategory, language, sentiment, demographics - seo: Score, grade, issues, recommendations - eeat: EEAT score, grade, category scores, issues, signals - aeo: AEO score, grade, metrics, issues, signals (includes citation results) - advertisers: Matched advertising networks with scores - similar_sites: Related sites from the same category (up to 10) - cached: Whether result was from cache

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• google_rank_tracking

  Searchapi

  Get Google organic search results for SEO rank tracking. Returns up to 100 results per request with position, title, URL, and snippet. Ideal for monitoring keyword rankings and SERP analysis.

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• openalex_search_entities

  openalex-mcp-server

  Search, filter, sort, or retrieve by ID. Covers all OpenAlex entity types (works, authors, sources, institutions, topics, keywords, publishers, funders). Pass `id` to retrieve a single entity. Otherwise, use `query` and/or `filters` for discovery. Supports keyword search with boolean operators, exact phrase matching, and AI semantic search. Use openalex_resolve_name to resolve names to IDs before filtering. Searches and ID lookups return a curated set of fields by default; pass `select` to override with specific fields, or `["*"]` for the full record.

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• search_and_discover_tools

  AXIS Toolbox — Agentic Commerce Codebase Intelligence

  Search AXIS programs by keyword and return ranked matches with artifact paths. Free, no auth, and no stateful side effects. Example: q=checkout returns commerce-relevant programs first. Use this when you know the outcome you want but not the right program. Use list_programs instead for the full catalog, discover_commerce_tools for install metadata, or discover_agentic_purchasing_needs for purchasing-specific triage.

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• iliad_web_research

  AXIS Toolbox — Agentic Commerce Codebase Intelligence

  Scrape a single URL with AXIS's owned crawler (SSRF-guarded fetch, robots.txt-aware, readability extraction — no third-party key) and return markdown-formatted content. Honest scope: fetches static HTML only, no JavaScript rendering, so client-rendered SPA pages may extract thin content. Returns markdown body, extracted metadata, and title. Best for research, documentation reading, or SEO analysis. Requires Authorization: Bearer <api_key>. Pricing: $0.10 standard, $0.05 lite per page. Use iliad_web_research_crawl for crawling multiple pages or link following.

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• seo_keyword_research

  gapup-mcp

  SEO keyword research from a seed keyword or topic. Uses Google Suggest (public, keyless) to discover related queries at 2 expansion levels, then clusters them by intent: informational / commercial / transactional / navigational — via heuristic pattern matching. Search volume is bucketed (very_high / high / medium / low / very_low) and clearly labelled as ESTIMATED — no fabricated precise numbers. Returns all keywords, intent clusters, quality scores (0-100), and top 10 opportunities. Supports country (gl) and language (hl) targeting. 100% keyless. Cache TTL 6h. ICP: SEO managers, content strategists, SaaS founders, agency teams.

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• worldbank_search_indicators

  worldbank-mcp-server

  Searches the 29,500+ World Bank indicator catalog by keyword, topic, or source. Returns indicator IDs and metadata for chaining into worldbank_get_data. At least one of query, topic_id, or source_id must be provided. When combined with topic_id or source_id, keyword filtering applies across all results in that topic or source. Use worldbank_list_topics for topic IDs, worldbank_list_sources for source IDs.

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• search_agencies

  pickanagency

  Search Pick an Agency's directory of 47,000+ marketing agencies. Filter by free-text query, service (e.g. SEO, paid ads, social media), country, city, industry, and minimum rating. Returns the top matches with location, rating, reviews and profile link. WHEN TO USE: for browsing or filtering ('show me SEO agencies in Berlin', 'agencies named X') when the user wants a LIST to explore. Use match_agencies instead when the user describes their project/brief and wants a RECOMMENDATION; use get_agency for full detail on one specific agency.

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• string_functional_annotation

  STRING Database MCP Server

  This tool retrieves curated functional annotations for a set of proteins. Each input protein is mapped to known biological terms from ontologies, pathway databases, tissues, compartments and domains — such as Gene Ontology (GO), KEGG, and UniProt Keywords. - Use this when the user asks what a protein does, where it's localized, expressed, or which pathways it participates in. - Keep the output short and focused by highlighting a few diverse and specific annotations for each protein. - This tool does not perform statistical enrichment — use the enrichment tool for that. Output fields (per protein): - stringId: STRING protein identifier - preferredName: Gene name or alias - annotation: Functional description or keyword - category: Source category (e.g. GO, KEGG, Keyword) - term: Functional term or ID

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• submit_scan

  mcp-server

  Queue an SEO scan of a website URL. Returns a scan_id to poll. **You MUST collect the user's email address before calling this tool** — the API rejects submissions without one because results are emailed to the user. After this tool returns, call `get_scan_status` every few seconds with the returned `scan_id` until status is 'complete', then call `get_scan_results` for the findings.

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