Kiprio MCP vs Claude Task Master

Kiprio MCP tools 27

• validate_emailValidate an email address for deliverability and quality. Performs multi-layer validation: RFC-5322 syntax check, MX record lookup to confirm the domain accepts mail, disposable/temporary domain detection (against 50,000+ known throwaway providers), and role-address detection (e.g. admin@, noreply@). Use this before sending email campaigns, checking signups, or cleaning a mailing list to reduce bounce rates and spam complaints. Args: email: The email address to validate (e.g. 'user@example.com'). Returns: valid (bool): True if the address appears deliverable. reason: Human-readable explanation of the result. mx_found (bool): Whether the domain has working mail servers. is_disposable (bool): True if a known throwaway email provider. is_role_address (bool): True if a shared/role address (admin@, info@).
• dns_lookupLook up DNS records for a domain across multiple record types. Queries authoritative DNS servers for the specified record types and returns all matching records with TTL values. Useful for diagnosing email deliverability (MX records), verifying domain ownership (TXT), tracing CDN configuration (CNAME), and checking propagation status. Args: domain: Domain name to look up (e.g. 'example.com', 'mail.example.com'). record_types: Comma-separated record types to query. Supported: A (IPv4 addresses), AAAA (IPv6), MX (mail servers), TXT (verification, SPF, DKIM), NS (nameservers), CNAME (aliases), SOA (zone authority). Default: 'A'. Example: 'A,MX,TXT' to check all email-related records at once. Returns: records: List of DNS records, each with type, value, and ttl. query_time_ms: How long the DNS resolution took.
• whois_lookupRetrieve WHOIS registration data for a domain name. Returns publicly available registration details from WHOIS databases. Useful for domain due diligence, checking expiry before purchasing, identifying registrar, or investigating domain ownership. Note: Many registrars apply GDPR redaction to registrant contact details. Technical data (nameservers, dates, registrar) is always available. Args: domain: Domain to look up (e.g. 'example.com'). Supports most TLDs. Returns: registrar: Registrar name and IANA ID. registered_at: Domain creation date (ISO 8601). expires_at: Expiry date — domain may be purchased after this. updated_at: Last modification date. nameservers: List of authoritative nameservers. status: EPP status codes (e.g. clientTransferProhibited). registrant: Registrant contact (may be redacted under GDPR).
• ssl_checkInspect the SSL/TLS certificate for a host. Connects to the host on port 443 and retrieves the full certificate chain. Returns validity status, expiry countdown (critical for alerting), issuer details, Subject Alternative Names (SANs), and cipher suite information. Use to monitor certificate expiry, verify correct certificate installation, check SANs cover all required subdomains, or audit cipher strength. Args: host: Hostname to check (e.g. 'example.com', 'api.example.com'). Do not include https:// or path components. Returns: valid (bool): Whether the certificate is currently valid and trusted. subject: Common name on the certificate. issuer: Certificate Authority that issued it. issued_at: Certificate issuance date. expires_at: Certificate expiry date. days_remaining: Days until expiry (negative = already expired). sans: List of Subject Alternative Names (all covered hostnames). chain_length: Number of certificates in the chain.
• ip_lookupGeolocate an IP address and detect VPN, Tor, and datacenter usage. Returns geolocation data (country, city, coordinates, timezone, ISP) plus threat intelligence signals: whether the IP is a known VPN exit node, Tor relay, or datacenter/hosting provider. Includes a composite threat score. Use for fraud detection, access control, personalising content by region, or investigating suspicious traffic in server logs. Args: ip: IPv4 or IPv6 address to look up (e.g. '8.8.8.8', '2001:4860:4860::8888'). Returns: ip: The queried IP. country, country_code: Full country name and ISO-3166 code. region, city: Geographic subdivision and city name. latitude, longitude: Approximate coordinates (city-level precision). timezone: IANA timezone (e.g. 'America/New_York'). isp: Internet Service Provider name. is_vpn (bool): Known VPN exit node. is_tor (bool): Tor exit relay. is_datacenter (bool): Hosted in a cloud/datacenter AS. threat_score: 0.0–1.0 composite risk score.
• screenshot_urlCapture a screenshot of a web page and return it as a base64-encoded PNG. Renders the page in a headless Chromium browser with JavaScript execution, waits for network idle (all resources loaded), then captures the viewport or full page. Useful for visual regression checks, archiving page state, generating previews, or letting an AI model analyse page layout. Args: url: Full URL of the page to capture (must include https://). width: Viewport width in pixels (default 1280, range 320–3840). height: Viewport height in pixels (default 800, range 200–2160). full_page: If True, capture the full scrollable page height rather than just the visible viewport. May be slow for long pages. Returns: png_b64: Base64-encoded PNG image data. w: Actual image width in pixels. h: Actual image height in pixels. bytes: File size of the PNG in bytes. ms: Time taken to render and capture in milliseconds.
• readabilityExtract the main article text and metadata from a web page. Uses Mozilla's Readability algorithm (the same engine as Firefox Reader Mode) to strip navigation, ads, and boilerplate and return only the article content. Ideal for summarising articles, building reading lists, or feeding clean text into further AI processing without HTML noise. Args: url: Full URL of the article or page to extract (must include https://). Returns: title: Article or page title. byline: Author name(s) if detected. content: Plain text of the main article body. word_count: Number of words in the extracted content. published_at: Publication date if found in page metadata (may be null). excerpt: Short description/lead paragraph if available.
• tech_stackDetect the technology stack powering a website. Analyses HTTP headers, HTML meta tags, JavaScript fingerprints, and resource paths to identify the CMS, frontend framework, CDN, analytics platform, e-commerce engine, and other technologies in use. Useful for competitive research, sales prospecting, migration planning, or understanding what stack a client is running before proposing solutions. Args: url: Full URL of the site to analyse (must include https://). The homepage is usually sufficient; the scan does not crawl. Returns: technologies: List of detected technologies, each with: name: Technology name (e.g. 'WordPress', 'Cloudflare', 'React'). category: Category (CMS, CDN, Analytics, Framework, etc.). confidence: Detection confidence 0.0–1.0. version: Version string if detectable (may be null).
• parse_og_tagsExtract Open Graph, Twitter Card, and standard meta tags from a URL. Fetches the page and parses all social-sharing metadata. Returns the full set of og:*, twitter:*, and standard HTML meta tags in a structured format. Use for link preview generation, SEO auditing, or validating that social sharing thumbnails and descriptions are correctly set. Args: url: Full URL of the page to parse (must include https://). Returns: title: Page title (og:title or <title>). description: Meta description or og:description. image: Primary social sharing image URL (og:image). site_name: og:site_name if set. type: og:type (e.g. 'article', 'website'). open_graph: Full dict of all og:* key-value pairs. twitter: Full dict of all twitter:* key-value pairs. favicon: URL of the site favicon. lang: Page language code (e.g. 'en', 'fr'). author: Author meta tag if present. published_at: article:published_time if present. keywords: Meta keywords if present.
• sentiment_analysisAnalyse the emotional tone and sentiment of a piece of text. Uses a fine-tuned language model to classify the overall sentiment and return a continuous compound score. Handles negation, sarcasm signals, and mixed-sentiment text. Works well on reviews, social posts, support tickets, survey responses, and news excerpts. Args: text: Text to analyse. Optimal range: 10–2000 characters. For longer documents, pass key paragraphs separately. Returns: label: Overall sentiment — 'positive', 'negative', or 'neutral'. compound: Score from -1.0 (most negative) to +1.0 (most positive). confidence: Model confidence in the classification, 0.0–1.0. positive: Proportion of positive signal in the text. negative: Proportion of negative signal in the text. neutral: Proportion of neutral signal in the text.
• check_grammarCheck and rewrite text for grammar, spelling, punctuation, and style. Runs the text through a language model tuned for editing. Returns the corrected text and an itemised list of changes with explanations. Supports multiple style modes for different audiences and registers. Free tier: up to 500 characters. Pro tier: up to 10,000 characters. Args: text: Text to check and rewrite. style: Rewrite target style — one of: 'concise' (default): Remove filler words, tighten sentences. 'formal': Business or academic register. 'friendly': Warm, conversational tone. 'UK-en': British English spelling and idioms. 'US-en': American English spelling and idioms. Returns: corrected: Rewritten text applying all suggested changes. edits: List of individual changes, each with: original: The original phrase. replacement: The corrected phrase. explanation: Why this change was made. chars_in: Character count of the input. chars_out: Character count of the corrected output.
• translate_textTranslate text between languages using neural machine translation. Supports 100+ languages. Auto-detection identifies the source language if not specified. Preserves paragraph structure and handles common HTML entities. Suitable for document translation, multilingual content generation, and supporting international users. Args: text: Text to translate. May include multiple paragraphs. target: Target language as a BCP-47 code (e.g. 'fr', 'de', 'es', 'zh', 'ja', 'ar', 'pt', 'ru', 'ko', 'hi'). source: Source language code, or 'auto' to detect automatically (default: 'auto'). Returns: translated: The translated text. source_language: Detected or specified source language code. target_language: Target language code. confidence: Source language detection confidence (0.0–1.0).
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Claude Task Master tools

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