io.github.u00dxk2/agentic-directory

Est-ce que io.github.u00dxk2/agentic-directory est sûr ?

Au dernier audit MCP Hub, le serveur MCP « io.github.u00dxk2/agentic-directory » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 10 outils

• compare_listings≈ 158 tokens

  Compare exactly two AI tools side-by-side. Returns structured field matrix and 'Choose A if... Choose B if...' verdict. Use this when a user wants to decide between two specific tools. For finding tools first, use search_listings or semantic_search.

  Paramètres, retour & exemple (2)

  Paramètres

  • slug1 · string · requis
    First tool's slug (e.g. 'cursor')
  • slug2 · string · requis
    Second tool's slug (e.g. 'claude-code')

  Exemple d'appel

  {"name": "compare_listings", "arguments": {"slug1": "texte", "slug2": "texte"}}

  Exemple de retour

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

• get_agenticness_details≈ 178 tokens

  Get the full agenticness evaluation breakdown: 9 dimensions (action capability, autonomy, planning, adaptation, state continuity, reliability, interoperability, safety, operator sovereignty) scored 0-4 each (max 36, Agenticness rubric v3.1) with evidence-based reasoning. Use this for deep analysis of one tool's AI agent capabilities. For a quick score, get_listing includes the overall score. For comparing scores, use compare_listings.

  Paramètres, retour & exemple (1)

  Paramètres

  • slug · string · requis
    The listing slug

  Exemple d'appel

  {"name": "get_agenticness_details", "arguments": {"slug": "texte"}}

  Exemple de retour

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

• get_category≈ 137 tokens

  Get all published listings in one specific category, sorted by agenticness score. Use this to browse a category. To see all categories first, use list_categories. To search across ALL categories, use search_listings or semantic_search.

  Paramètres, retour & exemple (1)

  Paramètres

  • slug · string · requis
    The category slug (e.g. 'coding-agents', 'general-purpose-agents')

  Exemple d'appel

  {"name": "get_category", "arguments": {"slug": "texte"}}

  Exemple de retour

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

• get_listing≈ 161 tokens

  Get full details for one specific AI tool by its slug — includes features, pricing, agenticness scores, and structured attributes. Use this when you know the exact tool slug. To find a slug, use search_listings first. For comparing two tools, use compare_listings. Note: null on boolean fields means 'unknown', false means 'confirmed no'.

  Paramètres, retour & exemple (1)

  Paramètres

  • slug · string · requis
    The listing slug (e.g. 'cursor', 'claude-code', 'openclaw')

  Exemple d'appel

  {"name": "get_listing", "arguments": {"slug": "texte"}}

  Exemple de retour

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

• list_categories≈ 105 tokens

  Get all categories with descriptions and listing counts. Use this to discover what categories exist before filtering. To get listings IN a category, use get_category with the slug. Categories are split into PEOPLE (individual use) and TEAMS (team/enterprise) cohorts.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "list_categories", "arguments": {}}

  Exemple de retour

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

• list_recent≈ 122 tokens

  Get the most recently added AI tool listings, sorted by creation date. Use this to see what's new. For finding specific tools, use search_listings. For browsing by category, use get_category.

  Paramètres, retour & exemple (1)

  Paramètres

  • limit · number · optionnel
    Number of listings to return

  Exemple d'appel

  {"name": "list_recent", "arguments": {"limit": 1}}

  Exemple de retour

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

• list_tags≈ 105 tokens

  Get all tags grouped by type (pricing, platform, capability, deployment, model, autonomy, use-case). Use this to discover available filter values. Tags can be used as filters in search_listings. This does NOT return listings — use search_listings or get_category for that.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "list_tags", "arguments": {}}

  Exemple de retour

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

• recommend_tools≈ 461 tokens

  Get AI-powered tool recommendations for a specific need. This is the recommended starting point — describe what you're looking for in natural language and get curated, ranked results with explanations. Handles search, filtering, scoring, and ranking in one call. Use this instead of chaining search_listings + get_listing + compare_listings. Examples: - "best coding agent for a small startup on a budget" - "open source alternative to Cursor for VS Code" - "autonomous customer support agent with MCP support" - "self-hosted data analysis tool for enterprise"

  Paramètres, retour & exemple (2)

  Paramètres

  • question · string · requis
    Natural language description of what you need. Be specific about your use case, team size, budget, deployment preferences, etc.
  • constraints · object · optionnel
    Optional structured constraints to narrow results

  Exemple d'appel

  {"name": "recommend_tools", "arguments": {"question": "texte"}}

  Exemple de retour

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

• search_listings≈ 413 tokens

  Search for agentic AI tools by keyword query with optional filters. Use this for keyword-based search. For natural language queries like 'something that automates email', use semantic_search instead. For browsing all tools in a category, use get_category instead.

  Paramètres, retour & exemple (9)

  Paramètres

  • limit · number · optionnel
    Max results to return
  • query · string · requis
    Search query (e.g. 'code review', 'open source coding agent')
  • cohort · string · optionnel · PEOPLE | TEAMS
    Filter by cohort: PEOPLE (individual tools) or TEAMS (team/enterprise tools)
  • category · string · optionnel
    Filter by category slug (e.g. 'coding-agents', 'general-purpose-agents')
  • minScore · number · optionnel
    Minimum agenticness score (default 1 to exclude unscored/junk entries, set to 0 to include all)
  • mcpSupport · boolean · optionnel
    Filter to tools with MCP (Model Context Protocol) support
  • openSource · boolean · optionnel
    Filter to open-source tools only
  • autonomyLevel · string · optionnel · COPILOT | SEMI_AUTONOMOUS | FULLY_AUTONOMOUS
    Filter by autonomy level
  • deploymentModel · string · optionnel · CLOUD | SELF_HOSTED | HYBRID | ON_DEVICE
    Filter by deployment model

  Exemple d'appel

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

  Exemple de retour

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

• semantic_search≈ 381 tokens

  Search for AI tools using natural language with AI-powered semantic matching. Best for conceptual queries like 'something that automates my email workflow'. Supports structured filters to narrow results (e.g., openSource + deploymentModel). For exact name/keyword searches, use search_listings instead. For comparing specific tools, use compare_listings.

  Paramètres, retour & exemple (9)

  Paramètres

  • limit · number · optionnel
    Max results to return
  • query · string · requis
    Natural language search query
  • cohort · string · optionnel · PEOPLE | TEAMS
    Filter by cohort
  • category · string · optionnel
    Filter by category slug
  • minScore · number · optionnel
    Minimum agenticness score (0-36)
  • mcpSupport · boolean · optionnel
    Filter by MCP (Model Context Protocol) support
  • openSource · boolean · optionnel
    Filter by open source status (true/false)
  • autonomyLevel · string · optionnel · ASSISTED | SEMI_AUTONOMOUS | FULLY_AUTONOMOUS
    Filter by autonomy level
  • deploymentModel · string · optionnel · CLOUD | ON_DEVICE | SELF_HOSTED | HYBRID
    Filter by deployment model

  Exemple d'appel

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

  Exemple de retour

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

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Source

https://agentic.ai/mcp