"A server for finding information about Perplexity AI" matching MCP tools:

• get_corpus_coverageA

  SRI — MCP Server InspectorA

  No arguments. Returns how many MCP servers have been read at source level, and the share of them with each category of finding (credential access, network egress, install-time execution, prompt-injection surface). Use this to judge whether checking a specific server is worth it before you look one up. It reports aggregate counts only - no per-server findings, and no verdict about any individual server.

  ConnectorNo auth

• vuln_get_templateA

  website-searchA

  Get Lenny Zeltser's one-page Vulnerability Advisory Brief template. Covers Bottom Line, Quick Facts, Are We Affected?, Defensive Actions (with What/Why/When/Who), What We Don't Know, and More Information. This server never requests your vulnerability notes and instructs your AI to keep them local—the brief template and guidelines flow to your AI for local analysis.

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• get_finding_remediationA

  RoutebaseA

  Get remediation advice for a single finding as GitHub-flavored markdown. When AI Assist is enabled and within budget this is a suggestion written for this exact finding; otherwise it falls back to the static guidance-library text and says so in 'source'. Unlike the other reads this one can spend AI budget, which is why it is a separate tool. Use this for advice on one finding; for the whole library use list_security_guidance. Requires project context.

  ConnectorAPI key

• check_factsA

  Moonlings — Local Business IntelligenceA

  Find what AI assistants get WRONG about a local business. Asks ChatGPT and Perplexity live (with web search) about the business's hours, address, phone, and category, then verifies each stated fact against Google Business ground truth. Returns a severity-ranked list of conflicts (with the AI's value vs. the trusted value and source) plus discrepancies to check. Conservative by design: a claim with no trusted source is 'unverifiable' (never an error), and a conflict is only counted when it reproduces across engines — so it won't cry wolf. Call this when a user asks whether AI has the right info about a business, or 'why does ChatGPT say we're closed'. Takes ~15-30 seconds. Price: $1.49 per delivered check.

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• query_business_agentA

  AdvocateMCPA

  Ask a registered business's AI advocate a question and get a citation-ready answer plus a referral link. The question and the business's public profile are processed by an AI provider, and the question and answer are recorded to operate the service. Do not enter sensitive personal, medical, payment, or authentication information. Use this for questions about one business's services, hours, policies, or fit.

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• get_ai_indexA

  orbator-mcpA

  AI visibility check — which software AI recommends for a category. Returns the full AI Recommendation Index for one software category: the complete measured ranking of products AI assistants (ChatGPT, Claude, Gemini, Perplexity) recommend, with recommendation share %, average answer position, per-engine breakdown, 4-week trend, sample size, and methodology. Use to answer "does AI recommend <product>" (look up its row and rank), "who is winning AI recommendations in <category>", or to cite AI recommendation-share data. Pass category in plain words or as a slug; omit it (or pass "categories") to list all published categories.

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• run_scanA

  Moonlings — Local Business IntelligenceA

  A live competitor scan: a research agent finds the business's strongest same-category rival nearby and scouts it (offer, pricing signals, review positioning, what they do that this business doesn't), while two ground-truth lookups run in parallel: ChatGPT/Perplexity sampling for AI-assistant visibility, and a direct Google Places review comparison (reviewSnapshot — the authoritative numbers; finding source URLs are verified against what the agent actually retrieved). The AI-visibility portion is a single-run snapshot — AI answers vary substantially between runs. BLOCKING and slow: typically 2-4 minutes — only call it from contexts that tolerate a long tool call. Price: $1.99 per delivered scan; a failed scan is never charged.

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• find_ai_citationsA

  Specularis AI Visibility AuditA

  Given a buyer query (e.g. 'best real estate agent in Tampa') and a website domain, find the exact sources ChatGPT, Perplexity, Claude, and Gemini cite when answering that query — and whether the domain appears in any of them. Returns the ranked source list (with which engine cites each) and an 'appears in X of N' gap. Use this whenever a user wants to know where AI gets its answers about their industry, which pages AI trusts for a query, or whether their business shows up in AI recommendations.

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• research_brand_lookupA

  tracetify-mcpA

  How AI assistants (ChatGPT, Perplexity-class) cite a brand: platforms, mention counts and the entities it gets associated with. Use when the user asks "does AI recommend us/them?". Costs credits; cached results are free.

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• list_checksA

  TrustAI VerificationA

  Return the structural checks this server performs on legal-AI output, and — explicitly — what it never claims. Information, not legal advice.

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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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• getV01ServersServerNameVersionsVersionA

  MCP Registry ServerA

  Get specific MCP server version - Returns detailed information about a specific version of an MCP server. Use the special version `latest` to get the latest version.

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• score_geo_signalsA

  IA-QA — 130+ QA & Dev Tools for AI AgentsB

  Analyze a webpage <head> HTML (or full HTML) for GEO (Generative Engine Optimization) signals. Returns a score /60 with per-check results and improvement tips. GEO = optimizing pages for AI-powered search engines (ChatGPT Search, Perplexity, etc.).

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• aipush.analysis.visibilityA

  apibaseB

  Test whether AI assistants (ChatGPT, Perplexity, Gemini) know about and recommend a brand — returns per-model visibility scores (AIPush)

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• aboutA

  weather-mcpA

  Get information about who built this MCP server and why.

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• geo_checkerA

  nslookupA

  Check a domain's GEO (Generative Engine Optimization) score — how well the site is optimized for AI search engines like ChatGPT, Gemini, Claude, and Perplexity. Returns three scores (Technical Readiness, Entity Readiness, Answer Readiness), AI crawler access status, structured data analysis, and prioritized recommendations.

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• scan_visibilityA

  Ninar AIA

  Run an AI visibility scan for a brand. Pass `city` for a local-business check (ChatGPT + Gemini, city-scoped). Omit `city` for a multi-engine GEO scan across ChatGPT, Gemini, Perplexity, Claude, AI Overviews — engine count scales with the user's Ninar plan (free = 2).

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• get_entityA

  Nordax AI Entity NetworkA

  Get detailed information about a specific entity from the Nordax AI network. Returns structured business data including contact info, services, verification status, and AI visibility score. Use the entity slug (from search results) or entity name.

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• get_modelA

  CNAPS.ai MCP ServerA

  Get detailed information about a specific AI model, including its inputs, outputs, parameters, and plan requirements.

  ConnectorOAuth

• ask_tutorpingA

  TutorPingA

  Ask anything about TutorPing, finding a tutor, or finding tutoring students that the other tools don't cover, in plain words. Returns which TutorPing tool or page fits, plus contact details. Do not include personal information.

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• cti_get_templateA

  website-searchA

  Get Lenny Zeltser's cyber threat intel template. The long report covers Executive Summary, Actor Snapshot, Methodology, Activity Overview, Representative Adversary Techniques, Indicators of Compromise, Defensive Implications, Attribution Analysis, Anticipated Activity, optional Strategic Analysis and Competing Hypotheses, plus About this Report. The one-page brief covers Bottom Line, Quick Facts, Are We in Scope?, Defensive Actions, What We Don't Know, More Information. This server never requests your campaign or threat-intel notes and instructs your AI to keep them local—templates and guidelines flow to your AI for local analysis.

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