"Market Analysis and Report Information" matching MCP tools:

• linkedin_render_account_health

  paid-ads

  Preferred user-facing LinkedIn account analysis and account health dashboard. Renders the LinkedIn account readiness report with setup recommendations, probe evidence, and technical details. Use this directly when a user asks for LinkedIn account analysis, account health, connector readiness, setup diagnostics, or whether a LinkedIn Ads account is ready for reporting. It can take healthPayload from linkedin_get_account_health or run the same health checks directly. If accountId is omitted, the most recent LinkedIn account from session memory is used when available.

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• get_maude_report

  Scite

  Fetch full details for a single MAUDE adverse event report by ID. Use this after `search_maude` when you need the complete record for a specific report, including the full narrative text (MDR text with text type codes), reporter information, device availability, patient treatment, and tags. The search tool returns truncated text snippets; this tool returns the full narratives which can be much longer. **Parameters:** - id: MAUDE report ID (e.g. `17343805`). Obtained from search_maude results. **Returns:** A detailed MAUDE report with full narrative text entries (with text type codes like "Description of Event or Problem"), reporter occupation, health professional flag, device medical specialty and availability, patient treatment, product problem flag, and tags.

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• ir_get_brief_template

  website-search

  Get Lenny Zeltser's IR one-page executive brief template. Standalone variant of `ir_get_template` for callers that only want the brief without the long-form report. This server never requests your incident notes and instructs your AI to keep them local—guidelines flow to your AI for local analysis.

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• cti_get_brief_template

  website-search

  Get Lenny Zeltser's CTI one-page executive brief template. Standalone variant of `cti_get_template` for callers that only want the brief without the long-form report. 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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• get_full_report_offer

  ActableSite AI Crawler Monitor

  Return the exact one-time price, deliverables, delivery path, checkout URL, support contact, and limitations for ActableSite's paid 15-check repair report. Present this information to the user and require explicit user confirmation before opening checkout or attempting any purchase.

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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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• analyze_land

  AcreLens

  Generates a comprehensive land analysis report for a US property through one of four analytical lenses: off_grid, rural_residential, recreational, or investment. Call this when the user asks for a full analysis of a specific property. If the user's intent is unclear, ask which mode to use before calling. Returns a report ID and poll URL — the final structured report (scores, confidence ratings, narrative summary, source citations) is delivered asynchronously via polling or webhook. Consumes one analysis credit from your AcreLens account.

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• get_land_quick_score

  AcreLens

  Get a fast suitability score (0-100) for a US property without generating a full report. Call this when the user wants a quick go/no-go assessment or an initial screening before committing to a full analysis. Returns a single score with confidence level and one-sentence rationale. Consumes a partial (0.25) analysis credit from your AcreLens account.

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• get_nda_report

  NDASentry

  Retrieve the full NDA / contract risk report after the user pays $9. Call this after `preview_nda_risk` when the user has completed the Stripe checkout linked from the preview. Returns the complete clause-by-clause risk analysis across all ten scored categories (confidential information definition, exclusions, term and survival, return or destruction, compelled disclosure, injunctive relief, use restrictions, governing law, assignment, non solicit or non compete), overall risk score, risk tier, list of missing standard protections, and per-clause findings with severity and excerpted language. Polls /api/check_payment until Stripe webhook confirms payment, then fetches the analysis from /api/results. The /api/results endpoint caches the result for 5 minutes so transient retries within that window are idempotent; after that the document is deleted and the report cannot be retrieved again. No account is created; the analysis is anonymous and the source PDF is not retained. Polling: 2s interval, 5 minute total cap (150 attempts). Args: session_token: The token returned by `preview_nda_risk`. Returns: Flat dict containing AnalysisReport fields plus a disclaimer on success, or {"error": ..., "message": ..., "disclaimer": ...} on failure. Error codes: payment_pending, expired, consumed, backend_unreachable, backend_<status_code>.

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• malware_get_template

  website-search

  Get Lenny Zeltser's malware analysis report template. The report covers Executive Summary, Sample Snapshot, Malware Family Identification, Component Inventory, Runtime Requirements, Sources, Capabilities, Indicators of Compromise, Analysis Details, What We Don't Know, optional Infection Vector, optional Detection Engineering, About this Report, Appendix: Analysis Environment, and optional Appendix: Analysis Scripts. This server never requests your sample, analysis notes, or indicators and instructs your AI to keep them local—guidelines and the report template flow to your AI for local analysis.

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• malware_get_cross_server_routes

  website-search

  Get Lenny Zeltser's Malware cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `malware_load_context`. This server never requests your sample, analysis notes, or indicators and instructs your AI to keep them local—guidelines and the report template flow to your AI for local analysis.

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• malware_get_frameworks

  website-search

  Get Lenny Zeltser's Malware frameworks (primary frameworks the brief structurally derives from) plus optional sibling frames (adjacent frameworks that aren't the structural backbone). Pass `include_siblings: false` to skip sibling blocks. This server never requests your sample, analysis notes, or indicators and instructs your AI to keep them local—guidelines and the report template flow to your AI for local analysis.

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• assessment_review_report

  website-search

  Get Lenny Zeltser's expert criteria for reviewing an existing security assessment report or brief. Surfaces the 17 info-assessment review items across five groups (Key Takeaways, Assessment Scope, Prioritized Findings, Remediation Suggestions, Assessment Methodology), cross-cutting criteria, the risk-adjusted severity model, anti-patterns, and a pointer to rating_score_writing for a numeric score. This server never requests your assessment notes or report and instructs your AI to keep them local—the templates and guidelines flow to your AI for local analysis.

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• assessment_get_brief_template

  website-search

  Get Lenny Zeltser's Security Assessment one-page executive brief template. Standalone variant of `assessment_get_template` for callers that only want the brief without the long-form report. This server never requests your assessment notes or report and instructs your AI to keep them local—the templates and guidelines flow to your AI for local analysis.

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• list_my_reports

  Analook — Competitor Intelligence

  List your recent competitor analysis reports (up to 50). Requires authentication. Returns a lightweight list (id, url, product_name, created_at, status) — use get_report(job_id) to fetch the full report for any of them. Returns: {reports: [{id, url, product_name, created_at, status}, ...]}

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• get_sample_report

  flatscope

  Return a full worked example of a Flatscope report as structured JSON, so you can show the user what the output looks like. Omit `id` to list the available samples. Zero cost, no analysis is run.

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• crypto-top-movers

  The Stall

  Crypto top movers — real-time top 5 gainers and top 5 losers by 24-hour percentage change among top-100 coins by market cap, plus the 10 largest coins with current prices and 24h change. Also returns global market statistics: total market cap (USD), BTC dominance %, and 24h trading volume. Stablecoins excluded from movers ranking. Use before any crypto portfolio, trading, or market analysis task. Data: CoinGecko public API (refreshes every 1–5 minutes).

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• ir_load_context

  website-search

  Load Lenny Zeltser's IR report writing context for local analysis. Returns expert guidelines for field completeness, incident identification, notification triggers, and writing quality. Includes rating-sheet items (lens taxonomy plus the IR-specific Information sheet) as concrete reference points for grounded feedback. This server never requests your incident notes and instructs your AI to keep them local. Use detail_level to control response size: "minimal" (~2k tokens), "standard" (~5k tokens), or "comprehensive" (~11k tokens).

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• ceevee_list_positioning_sessions

  CareerProof MCP

  List all positioning sessions (market analysis through lens selection to targeted edits). Returns an array of session objects with id, status, cv_version_id, and created_at. Use the session id with ceevee_get_positioning_session for full details including analysis results, edits, and PDFs. Free.

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• assessment_load_context

  website-search

  Load Lenny Zeltser's security assessment report writing context for local analysis. Returns a JSON payload with the risk-adjusted severity model (the spine), reader-first section guidance, completeness criteria, frameworks (NIST SP 800-115/800-30, OWASP WSTG/Risk Rating, CVSS, MITRE ATT&CK, PTES, PCI DSS, CREST), and the mcpHandoffs array. The 'profile' parameter ANNOTATES sections (internal/external applicability) rather than filtering — every section is returned so cross-profile comparisons are possible. This server never requests your assessment notes or report and instructs your AI to keep them local—the templates and guidelines flow to your AI for local analysis.

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