"Search Engine Optimization (SEO) Information and Resources" matching MCP tools:

• get_seo_offerA

  TESSA Marketing & TechnologyA

  TESSA's SEO offer in structured form: what it is, starting prices word for word from the pricing page (local, national and international SEO, Generative Engine Optimization), the service page, and the link to book a free strategy session for the scope and an exact price. Scope, deliverables and timeline are included where TESSA has published them. Use this when someone asks about TESSA's SEO, local SEO, national SEO or Generative Engine Optimization (GEO).

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• rewrite_aeoA

  AI-SEO / AEO / GEO AuditA

  Rewrite a content block for Answer Engine Optimization. Adds a BLUF opening, FAQ structure, schema additions, and concise question-shaped headings tuned for ChatGPT / Perplexity / Google AI Overviews. Read-only when given `url` (one HTTP GET). Zero network when given `text`. The tool does NOT write back to the URL - it only returns the rewritten content as a string. No side effects on the source. This tool delegates the actual rewrite to the calling LLM via MCP sampling - it does not call any external API itself. The MCP host's model produces the rewrite. Same input may produce different output across runs (model-dependent). When to use: optimizing content for direct-answer surfaces (definitions, how-tos, FAQs). For Generative Engine Optimization (entity-rich, comparison-ready synthesis), use `rewrite_geo` instead. Either `url` or `text` must be provided. `target_query` is required.

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• get_tier1_recommendationsA

  Tier1 IT AssessmentA

  Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.

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• rewrite_geoA

  AI-SEO / AEO / GEO AuditA

  Rewrite a content block for Generative Engine Optimization: entity-rich, comparison-ready, synthesis-friendly. Tuned for surfaces that summarize across sources (Perplexity, Google AI Mode, Claude search). Read-only on input. Does NOT write back to the source URL - returns the rewritten content as a string. This tool delegates the actual rewrite to the calling LLM via MCP sampling - it does not call any external API itself. The MCP host's model produces the rewrite. Output may vary across runs (model-dependent). When to use: optimizing for synthesis-style answers across multiple sources. For direct-answer (BLUF + FAQ) optimization on a single page, use `rewrite_aeo` instead. Either `url` or `text` must be provided. `target_query` is required.

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• toggle_moduleA

  BorealHostB

  Enable or disable an AI module on a site. The module must be in the plan's available module list. Requires: API key with write scope. Args: slug: Site identifier module_name: Module to toggle. Available modules: "chatbot" (AI chat widget), "seo" (SEO optimization), "translation" (content translation), "content" (AI content generation) Returns: {"module": "chatbot", "enabled": true, "message": "Module enabled"} Errors: NOT_FOUND: Unknown slug or module not in plan VALIDATION_ERROR: Invalid module name

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• amzscout_get_keywordsA

  AMZScout Skill + MCPA

  Amazon keyword / SEO / PPC data for either a single product (ASIN-scope — terms the product ranks for) or a niche/category (keyword-scope — search data around the term). Pass BOTH `asin` and `keyword` to get the product's position for exactly that keyword (e.g. "organic rank of B0... for standing lamp") — the reply gives the exact-match row as the answer and lists look-alike keywords with extra symbols separately; never report a look-alike's rank for the requested keyword. Every keyword row carries search volume, average sales, CPC and trend; ASIN-scope rows ALSO carry this product's own placement for that term — organic rank + page, sponsored page, and relevance score (rows the product does not rank for are marked "not ranking"). Pure data fetch (no AI analysis). How to use: pick high-volume / low-competition terms for SEO and PPC targeting, use CPC as ad-cost pressure, sum search volumes to gauge niche demand, and for ASIN-scope check organic vs sponsored ranks to spot listing-optimization gaps. Marketplace: if the user has not named a country / Amazon domain in this conversation, ask them once which marketplace they work on and reuse that code for every later call in the chat; do not assume the US. Called without `marketplace`, this tool fetches nothing and answers "MARKETPLACE NEEDED". Money is in that marketplace's local currency.

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• auditA

  mcpA

  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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• analyze-seo-keywordsA

  GigSoul x402A

  Suggest the top 10 SEO keywords for a topic with estimated relative search volume and difficulty. Use for early keyword ideation and content planning. Based on model training knowledge, not a live lookup; figures are estimates. Not live keyword-tool data; validate volumes in an SEO tool before committing budget. For a posting schedule, use generate-content-calendar. Pay-per-call: $0.04 USDC on Base via x402. Without a payment-signature header the call returns an error whose data carries the payment terms.

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• getRedditSubredditWithPostsByNameA

  Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ)A

  Get Reddit subreddit by name with its posts. FAST (default, omit responseType or responseType="fast"): Returns subreddit data with up to 300 posts directly (use limit param to reduce). Auto API fallback for fresh data. PAGING (responseType="paging"): Async paginated results (100 posts per page), returns operationId for polling via checkOperationStatus. Supports pageNumber/tableName for subsequent pages. RESPONSE STRUCTURE: Returns { results: { subreddit: {...}, posts: [...] }, pagination: {...} }. FIELD SELECTION: Use subredditFields for subreddit data optimization, postFields for post data optimization. First searches database for both subreddit and posts, then external API if data is stale or missing. This is a safe, read-only tool for analyzing searchable information.

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• get_opt_resultA

  SCModelingA

  Get the precomputed result for one scenario of an optimization demo. Returns the verbatim engine output JSON (AMOS for tariff/coffee, SSO output for sso-basic) including the optimal sourcing/production/transport decisions, costs, and any open/close facility variables. ANTI-FABRICATION: every numeric result is verbatim from the optimization engine that ran offline — quote them in your reply, do not round or recompute. Call describe_opt_demo first to learn valid scenario_key formats for each demo.

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• explain_optimizationA

  SCModelingA

  Reference text on supply-chain network optimization — mixed-integer programming (MIP), the structure of decision variables and constraints, the objective function for landed-cost minimization, and the common problem classes (facility selection, sourcing, flow constraints, multi-period, BOM/production, multi-objective). Also covers when to reach for optimization vs simulation. Pure static text — no engine call, deterministic output. Use this when the user asks a conceptual 'how does network optimization work' question. ChiAha's AMOS optimizer (open-source, Odin, GLOP/CBC via OR-Tools) powers the Tariff and Coffee Co-pack demos on the sandbox.

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• search_agenciesA

  pickanagencyA

  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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• get_tool_guideA

  FundingLandscapeA

  Get comprehensive usage guide for FundingLandscape tools. Call this FIRST to understand optimal workflows, parameter usage, and best practices. Returns detailed documentation for search tools, filters, and token optimization strategies. Does not count toward your monthly searches.

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• seo_audit_aeoA

  mcp-seoA

  Audits content for Answer Engine Optimization (AEO): Evaluates concise 40-60 word direct answer definition blocks, question-based H2/H3 subheadings (What/How/Why), FAQ schema alignment, and citation readiness for Google AI Overviews and Perplexity. USAGE GUIDELINES: - Use when optimizing content to win conversational AI search citations, direct answers, and Perplexity summaries. - Do NOT use for brand knowledge-graph entity reconciliation; use 'seo_audit_geo' instead. - Do NOT use for standard on-page metadata; use 'seo_audit_onpage' instead. BEHAVIORAL TRANSPARENCY: - Safe, read-only diagnostic evaluation. No file modifications.

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• seo_audit_geoA

  mcp-seoA

  Audits Generative Engine Optimization (GEO): Evaluates brand and organization entities, Schema.org Organization/Person definitions, sameAs knowledge graph reconciliation (Wikidata, LinkedIn, Crunchbase), and Author E-E-A-T credentials. USAGE GUIDELINES: - Use to evaluate how LLM-based search engines (ChatGPT Search, Claude, Gemini) comprehend brand identity and authority. - Do NOT use for local map pack NAP consistency; use 'seo_audit_local' instead. - Do NOT use for direct answer snippet definitions; use 'seo_audit_aeo' instead. BEHAVIORAL TRANSPARENCY: - Safe, read-only diagnostic evaluation. No file modifications.

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• seo_test_web_mcpA

  mcp-seoA

  Tests a live website or local endpoint for Web MCP enablement: Checks Streamable HTTP (/mcp), Legacy SSE (/sse), discovery manifests (/.well-known/mcp/server-card.json, llms.txt), CORS headers, and provides copy-paste implementation blueprints in 11 programming languages. USAGE GUIDELINES: - Use to test if a web application exposes an agent-accessible Model Context Protocol interface. - Do NOT use for regular HTML search engine optimization; use 'seo_audit_technical' or 'seo_audit_onpage' instead. BEHAVIORAL TRANSPARENCY: - Safe, read-only protocol diagnostic probe. Makes HTTP GET/HEAD requests to standard discovery endpoints. Modifies no files.

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• search_webA

  Verify-apiA

  Execute live web searches using multi-engine chain (TinyFish, DuckDuckGo, Jina) without monthly API subscriptions. Returns fresh source URLs, titles, and snippets. Requires x402 micropayment (0.005 USDC on Base). When to use: Real-time web browsing and information retrieval for AI agents. When NOT to use: Do NOT use for deep recursive crawling of entire sites. Parameters: - `query` (string, required): Search query (3-300 chars). - `limit` (integer, optional, default 5): Maximum number of search results to return (1-10).

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• searchA

  SerpApiA

  Universal search tool supporting all SerpApi engines and result types. When to use: - Any query needing live, structured SERP data: web results, news, product listings, job postings, local businesses, flight/hotel prices, video results, images, stock/weather cards, knowledge graph entities. Engine discovery via MCP resources: - serpapi://engines lists all engines supported by this tool. - serpapi://engines/<engine> provides engine-specific parameters and supported options. - Example: serpapi://engines/google_news Input schema: params: JSON object containing SerpApi engine parameters. Common parameters: - q: Search query. Required for most engines. - engine: SerpApi engine name. Defaults to "google_light". - location: Optional geographic location for localized results. - output: Optional response format. Omit for JSON (default), or set to "md" for Markdown. Engine-specific parameters are available via MCP resources: - serpapi://engines lists all supported engines. - serpapi://engines/<engine> provides parameters and options for one engine. mode: Response mode. Defaults to "complete". - "complete": Return the full SerpApi response. - "compact": Remove metadata fields from JSON responses. Markdown is returned unchanged. Output schema: structuredContent.result contains the response string: serialized JSON or unchanged Markdown. The same string is included in text content. Tool failures preserve this wrapper and set isError to true. Guided search: Searches can request missing engine parameters from supporting clients using the engine catalog and engine-specific rules. Flights collect airports and dates, hotels collect the destination and stay dates, and directions collect missing endpoints. Other clients receive a missing-parameter error. Cancellation does not run a search. Examples: Weather: {"params": {"q": "weather in London", "engine": "google"}, "mode": "complete"} Stock: {"params": {"q": "AAPL stock", "engine": "google"}, "mode": "complete"} General: {"params": {"q": "coffee shops", "engine": "google_light", "location": "Austin, TX"}, "mode": "complete"} Compact: {"params": {"q": "news"}, "mode": "compact"} Markdown: {"params": {"q": "news", "output": "md"}} Supported engines include (not limited to): - google - google_light - google_flights - google_hotels - google_images - google_news - google_local - google_shopping - google_jobs - bing - yahoo - duckduckgo - youtube_search - baidu - ebay

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• search_webA

  verify-apiA

  Execute live web searches using multi-engine chain (TinyFish, DuckDuckGo, Jina) without monthly API subscriptions. Returns fresh source URLs, titles, and snippets. Requires x402 micropayment (0.005 USDC on Base). When to use: Real-time web browsing and information retrieval for AI agents. When NOT to use: Do NOT use for deep recursive crawling of entire sites. Parameters: - `query` (string, required): Search query (3-300 chars). - `limit` (integer, optional, default 5): Maximum number of search results to return (1-10).

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• search_resourcesA

  nope-mcp — Open Educational Resources searchA

  Search for educational resources (learning materials, courses, videos, etc.) using full-text search and metadata filters. Returns resources matching the query from the AMB relay. Only openly licensed resources are returned (CC0, Public Domain, CC BY, CC BY-SA); NC/ND, all-rights-reserved and unlicensed resources are left out. NOTE: the metadata filters (publisherName, creatorName, subjectLabel, resourceTypeLabel, educationalLevelLabel) are EXACT full-string matches against the stored metadata (case-insensitive) — not fuzzy or substring searches. A guessed spelling silently returns 0 results; use resolve_publisher to find the canonical actor spelling first. On a zero-match actor filter the response includes actorCandidates with similar spellings to retry with.

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• seo_keyword_google_ads_volumeA

  Seo Keywords AdsA

  Exact Google Ads search volume for `<keyword>` — Google's own monthly search-volume numbers (plus competition and CPC) from the Ads API, for up to 10 keywords. Use when you specifically need Google Ads figures; for general SEO volume + keyword difficulty, prefer seo_keyword_overview (cheaper). Example: seo_keyword_google_ads_volume({ keywords: ["running shoes"], location_code: 2840, _apiKey: "your-base64-key" })

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