io.github.dorukardahan/domain-search-mcp

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Au dernier audit MCP Hub, le serveur MCP « io.github.dorukardahan/domain-search-mcp » est classé « Vérifié ». Aucun comportement malveillant détecté au test comportemental. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

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Les 12 outils

• name_project≈ 364 tokens

  Two-phase naming engine. Call without candidates to receive generation instructions for YOUR model (you generate the names). Call again with candidates[] to get anti-slop scoring, ranking, and live availability checks (domains, socials, npm). Modes: brief (describe it), auto (I analyze the current workspace), from_name (find domains/variants for a name), from_domain (fit a found domain to a project).

  Paramètres, retour & exemple (8)

  Paramètres

  • mode · string · requis · brief | auto | from_name | from_domain
  • name · string · optionnel
    Existing name or found domain (from_name / from_domain).
  • brief · string · optionnel
    What you are naming (mode=brief).
  • lanes · array · optionnel
    Naming lanes to use.
  • targets · object · optionnel
    Availability-check targets: {tlds:[...], platforms:[...]}. Empty = pure naming, no availability checks.
  • candidates · array · optionnel
    Phase 2: names your model generated (max 50).
  • constraints · object · optionnel
    {max_length, must_include}
  • project_path · string · optionnel
    auto mode: project dir for a light server-side scan (package.json name/description + top-level directory names, best-effort, no throw on missing/unreadable path).

  Exemple d'appel

  {"name": "name_project", "arguments": {"mode": "brief"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• search_domain≈ 240 tokens

  Search for domain availability and pricing across multiple TLDs. Returns: - Availability status for each domain - Pricing (first year and renewal) when Pricing API is configured - Whether WHOIS privacy is included - Human-readable insights and next steps Examples: - search_domain("vibecoding") → checks vibecoding.com, .io, .dev - search_domain("myapp", ["com", "io"]) → checks specific TLDs

  Paramètres, retour & exemple (3)

  Paramètres

  • tlds · array · optionnel
    TLD extensions to check (e.g., ['com', 'io', 'dev']). Defaults to ['com', 'io', 'dev'].
  • registrars · array · optionnel
    Optional: specific registrars to check. Leave empty to auto-select.
  • domain_name · string · requis
    The domain name to search (e.g., 'vibecoding'). No extension needed.

  Exemple d'appel

  {"name": "search_domain", "arguments": {"domain_name": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• bulk_search≈ 202 tokens

  Check availability for multiple domain names at once. Efficiently searches up to 100 domains in parallel with rate limiting. Use a single TLD for best performance. Returns: - Availability status for each domain - Pricing where available - Summary statistics Example: - bulk_search(["vibecoding", "myapp", "coolstartup"], "io")

  Paramètres, retour & exemple (3)

  Paramètres

  • tld · string · optionnel
    TLD to check for all domains (e.g., 'com'). Defaults to 'com'.
  • domains · array · requis
    List of domain names to check. Don't include extensions. Max 100.
  • registrar · string · optionnel
    Optional: specific registrar to use (BYOK only).

  Exemple d'appel

  {"name": "bulk_search", "arguments": {"domains": []}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• compare_registrars≈ 214 tokens

  Compare domain pricing across multiple registrars. Checks the same domain at different registrars to find: - Best first year price - Best renewal price - Overall recommendation Uses the Pricing API when configured; otherwise falls back to BYOK registrars. Returns pricing comparison and a recommendation. Example: - compare_registrars("vibecoding", "com") → compares Porkbun (and any configured BYOK registrars)

  Paramètres, retour & exemple (3)

  Paramètres

  • tld · string · requis
    The TLD extension (e.g., 'com', 'io').
  • domain · string · requis
    The domain name to compare (without extension).
  • registrars · array · optionnel
    Registrars to compare. Defaults to ['porkbun'].

  Exemple d'appel

  {"name": "compare_registrars", "arguments": {"tld": "texte", "domain": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• suggest_domains≈ 250 tokens

  Generate and check availability of domain name variations. Creates variations like: - Hyphenated: vibe-coding - With numbers: vibecoding1, vibecoding2 - Prefixes: getvibecoding, tryvibecoding - Suffixes: vibecodingapp, vibecodinghq Returns only available suggestions, ranked by quality. Example: - suggest_domains("vibecoding") → finds available variations

  Paramètres, retour & exemple (4)

  Paramètres

  • tld · string · optionnel
    TLD to check (e.g., 'com'). Defaults to 'com'.
  • variants · array · optionnel
    Types of variations to generate. Defaults to all.
  • base_name · string · requis
    The base domain name to generate variations from.
  • max_suggestions · number · optionnel
    Maximum suggestions to return (1-50). Defaults to 10.

  Exemple d'appel

  {"name": "suggest_domains", "arguments": {"base_name": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• suggest_domains_smart≈ 548 tokens

  AI-powered domain name suggestion engine. Generate creative, brandable domain names from keywords or business descriptions. Combines multiple intelligent sources for maximum coverage and quality. Features: - ZERO-CONFIG: Works out of the box with our fine-tuned Qwen 7B-DPO model - Domain-specialized fine-tuned model for higher quality suggestions - Understands natural language queries ("coffee shop in seattle") - Auto-detects industry for contextual suggestions - Generates portmanteau/blended names (instagram = instant + telegram) - Applies modern naming patterns (ly, ify, io, hub, etc.) - Filters premium domains by default - Availability verified via Porkbun/RDAP - Graceful fallback: Fine-tuned Qwen → Semantic engine Examples: - suggest_domains_smart("ai customer service") → AI-themed

  Paramètres, retour & exemple (7)

  Paramètres

  • tld · string · optionnel
    TLD to check (e.g., 'com'). Defaults to 'com'.
  • query · string · requis
    Keywords, business description, or base domain name.
  • style · string · optionnel · brandable | descriptive | short | creative
    Suggestion style preference.
  • industry · string · optionnel · tech | startup | finance | health | food | creative | ecommerce | education
    Industry for contextual suggestions. Auto-detected if omitted.
  • include_premium · boolean · optionnel
    Include premium domains. Defaults to false.
  • max_suggestions · number · optionnel
    Maximum suggestions to return (1-50). Defaults to 15.
  • project_context · object · optionnel
    Project context from analyze_project for better suggestions.

  Exemple d'appel

  {"name": "suggest_domains_smart", "arguments": {"query": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• tld_info≈ 132 tokens

  Get information about a Top Level Domain (TLD). Returns: - Description and typical use case - Price range - Any special restrictions - Popularity and recommendations Example: - tld_info("io") → info about .io domains

  Paramètres, retour & exemple (2)

  Paramètres

  • tld · string · requis
    The TLD to get info about (e.g., 'com', 'io', 'dev').
  • detailed · boolean · optionnel
    Include detailed information. Defaults to false.

  Exemple d'appel

  {"name": "tld_info", "arguments": {"tld": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• check_socials≈ 252 tokens

  Check if a username is available on social media and developer platforms. Supports 10 platforms with varying confidence levels: - HIGH: GitHub, npm, PyPI, Reddit, Twitter/X (reliable public APIs) - MEDIUM: YouTube, ProductHunt (status code based) - LOW: Instagram, LinkedIn, TikTok (block automated checks - verify manually) Returns availability status with confidence indicator. Example: - check_socials("vibecoding") → checks GitHub, Twitter, Reddit, npm - check_socials("myapp", ["github", "npm", "pypi"]) → developer platforms only

  Paramètres, retour & exemple (2)

  Paramètres

  • name · string · requis
    The username/handle to check.
  • platforms · array · optionnel
    Platforms to check. Defaults to ['github', 'twitter', 'reddit', 'npm'].

  Exemple d'appel

  {"name": "check_socials", "arguments": {"name": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• analyze_project≈ 390 tokens

  Analyze a local project or GitHub repository to extract context for domain suggestions. This tool scans project manifest files (package.json, pyproject.toml, Cargo.toml, go.mod) and README files to understand your project, then generates relevant domain name suggestions. **Use Cases:** 1. Find a domain for your existing codebase 2. Get domain ideas that match your project's identity 3. Analyze any GitHub repo for branding inspiration **Supported Projects:** - Node.js (package.json) - Python (pyproject.toml, setup.py) - Rust (Cargo.toml) - Go (go.mod) - Any project with README.md **Examples:** - analyze_project("/path/to/my-app") → Analyzes local project - analyze_project("https://github.com/vercel/next.js") → Analyzes GitHub repo - analyze_project("/my-project", suggest_domains=true, s

  Paramètres, retour & exemple (6)

  Paramètres

  • tld · string · optionnel
    Primary TLD for suggestions. Defaults to 'com'.
  • path · string · requis
    Local path or GitHub URL to analyze.
  • style · string · optionnel · brandable | descriptive | short | creative
    Suggestion style preference.
  • max_suggestions · number · optionnel
    Maximum suggestions (1-30). Defaults to 10.
  • suggest_domains · boolean · optionnel
    Auto-generate domain suggestions. Defaults to true.
  • include_source_files · boolean · optionnel
    Scan source files for keywords. Defaults to false.

  Exemple d'appel

  {"name": "analyze_project", "arguments": {"path": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• hunt_domains≈ 478 tokens

  Find valuable domains for investment opportunities. Scans Sedo auctions, generates pattern-based candidates, and calculates investment scores based on length, TLD value, keyword matches, and pronounceability. **Investment Score Factors:** - Length: Shorter = higher score (3-4 chars = +25 points) - TLD Value: .com = +25, .io/.ai = +15, .co = +12 - Keyword Match: +5 per keyword found in domain - Pronounceability: Good vowel ratio = +10 - Aftermarket Price: Lower prices get bonus points **Pattern Types:** - `short`: 3-5 character pronounceable patterns (CVC, CVCV) - `dictionary`: Common words that make good domains - `brandable`: Keyword + modern suffixes (-ly, -ify, -io) - `acronym`: Abbreviations from multiple keywords - `numeric`: Keyword + numbers (7, 24, 365) **Examples:** - hunt_dom

  Paramètres, retour & exemple (9)

  Paramètres

  • tlds · array · optionnel
    TLDs to search. Defaults to ['com', 'io', 'co'].
  • keywords · array · optionnel
    Keywords to search for and incorporate into patterns.
  • patterns · array · optionnel
    Pattern types to generate.
  • max_length · number · optionnel
    Maximum domain name length. Defaults to 12.
  • min_length · number · optionnel
    Minimum domain name length. Defaults to 3.
  • max_results · number · optionnel
    Maximum results (1-50). Defaults to 20.
  • score_threshold · number · optionnel
    Minimum investment score (0-100). Defaults to 40.
  • include_aftermarket · boolean · optionnel
    Include Sedo auctions. Defaults to true.
  • max_aftermarket_price · number · optionnel
    Maximum aftermarket price (USD).

  Exemple d'appel

  {"name": "hunt_domains", "arguments": {"tlds": [], "keywords": [], "patterns": [], "max_length": 1, "min_length": 1, "max_results": 1}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• expiring_domains≈ 259 tokens

  Find domains that are about to expire and may become available soon. Monitors the federated negative cache for domains approaching their expiration date. Useful for domain investors and those watching specific domains. Requires NEGATIVE_CACHE_URL to be configured. Examples: - expiring_domains(days=30) → Domains expiring in the next 30 days - expiring_domains(tlds=["com"], days=7) → .com domains expiring within a week - expiring_domains(keywords="ai") → AI-related domains expiring soon

  Paramètres, retour & exemple (4)

  Paramètres

  • days · number · optionnel
    Find domains expiring within this many days. Defaults to 30.
  • tlds · array · optionnel
    Filter by TLDs (e.g., ['com', 'io']). Omit to search all TLDs.
  • limit · number · optionnel
    Maximum results to return (1-100). Defaults to 25.
  • keywords · string · optionnel
    Filter by keywords in domain name.

  Exemple d'appel

  {"name": "expiring_domains", "arguments": {"days": 1, "tlds": [], "limit": 1, "keywords": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• ai_health≈ 143 tokens

  Check health status of AI inference services. Returns status of: - VPS Qwen (self-hosted llama.cpp) - Together.ai (cloud fallback) - Semantic Engine (offline, always available) - Circuit breaker states - Adaptive concurrency limits Use when: - AI suggestions are slow or failing - Diagnosing which AI source is being used - Monitoring inference infrastructure

  Paramètres, retour & exemple (1)

  Paramètres

  • verbose · boolean · optionnel
    Include detailed metrics and circuit breaker states.

  Exemple d'appel

  {"name": "ai_health", "arguments": {"verbose": true}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

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Source

domain-search-mcp@1.13.1