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163,172 tools. Last updated 2026-05-30 16:46

"Information about bug classification" matching MCP tools:

  • Returns information about safety features on Makuri, including age verification, content filtering, parental controls, and AI safety guardrails. Use when the user asks about child safety, content moderation, or how Makuri protects minors.
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  • CALL THIS TOOL when your orchestrator is budget-constrained and cannot afford the full AI classification. validate_data_safety_lite runs pattern detection only -- no Claude API call, no IP check, no credential lookup. Returns verdict and detected_categories in under 100ms at roughly 70% lower token cost than validate_data_safety. Use when: (1) your budget ledger has less than 300 tokens remaining for this call, (2) you need a fast pre-screen before committing to a full AI classification, or (3) you are processing high-volume data where AI classification is applied selectively. Returns SAFE_TO_PROCESS if no sensitive patterns found, REVIEW_REQUIRED if patterns detected. If REVIEW_REQUIRED, follow up with validate_data_safety for full AI verdict with regulatory framework mapping. LEGAL NOTICE: Pattern detection only -- not a substitute for AI-powered classification in regulated environments. Full terms: kordagencies.com/terms.html. Free tier: 20 calls/month.
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  • Returns structured information about what the Recursive platform includes: features, AI model details, supported integrations, and what's included at every tier. Use for systematic feature comparison.
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  • File a real human-followup support ticket on behalf of the signed-in user. Use this when the user reports a billing problem, bug, account lockout, complaint about a tutor, or anything Sparkle/the agent cannot resolve from data. The ticket is emailed to the support team and a confirmation is sent to the user with a 1-business-day SLA. Categories: billing, bug, account, complaint, feedback, other. Requires sign-in.
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  • Get full details for a single business (listing) by its slug. Call this when the user asks for more information about a specific business. Use the slug from search_businesses results.
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  • Full-text search across recall reasons and product descriptions using PostgreSQL text search. Finds recalls mentioning specific terms (e.g. 'salmonella contamination', 'mislabeled', 'sterility'). Supports multi-word queries ranked by relevance. Filter by classification, product_type, or date range. Related: fda_search_enforcement (search by company name, classification, status), fda_recall_facility_trace (trace a recall to its manufacturing facility).
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  • Select the best advertisers based on website demographics. Matches advertisers to website content based on classification demographics. Provide either a URL (classification will be fetched) or demographics directly. Rate limited to 1 request per minute per domain when using URL. Scoring weights: - Category match: +10 points - Age match: +5 points - Gender match: +3 points - Sentiment match: +2 points - Higher CPM bid as tiebreaker Args: url: URL to match advertisers for (fetches classification from cache). category: Target category (e.g., "Sports", "Automotive"). subcategory: Target subcategory. age: Target age group (e.g., "18-24", "25-34", "31-51"). gender: Target gender ("male", "female", or "all"). sentiment: Content sentiment ("Good", "Neutral", or "Bad"). limit: Number of advertisers to return (1-10, default 3). min_cpm: Minimum CPM cost filter (e.g., 5.0 for $5+ CPM). max_cpm: Maximum CPM cost filter (e.g., 10.0 for $10 or less CPM). Returns: Dictionary with: - matches: List of matched advertisers with scores - match_count: Number of matches found - classification: URL classification (if URL provided) - demographics: Provided demographics (if no URL)
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  • Find similar or competitor websites based on classification. Takes a URL, classifies it (or uses cached classification), and returns other websites from the same category and subcategory. Useful for competitive analysis and discovering related content. Rate limited to 1 request per minute per domain. Args: url: The website URL to find similar sites for. limit: Maximum number of similar sites to return (1-50, default 10). Returns: Dictionary with: - url: The input URL (normalized) - classification: The URL's category and subcategory - similar_sites: List of similar URLs from the same category - total_in_category: Total sites in this category/subcategory - cached: Whether the classification was from cache
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  • Returns Makuri's current compliance posture across EU AI Act, GDPR, GDPR-K (children data), COPPA, and ISO 42001. Each entry shows current status (compliant, in_progress, not_applicable), evidence, and notes. Use when the user asks about regulatory compliance, AI Act classification, or data protection for children.
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  • Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
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  • Get detailed compound information by CID. Returns physicochemical properties (molecular weight, SMILES, InChIKey, XLogP, TPSA, etc.), optionally with a textual description (pharmacology, mechanism, therapeutic use), all known synonyms, drug-likeness assessment (Lipinski/Veber rules), and/or pharmacological classification (FDA classes, MeSH classes, ATC codes). Efficiently batches up to 100 CIDs.
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  • Returns general information about the Makuri platform, including mission, target users, founding details, and company information. Use this tool when the user asks 'what is Makuri', 'who made it', or wants a general overview.
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  • Get full details for a single business (listing) by its slug. Call this when the user asks for more information about a specific business. Use the slug from search_businesses results.
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  • Inbound ticket: bug/listing/security/anomaly/partnership. USE WHEN: reporting wrong data (`bug`), requesting a new pkg/ecosystem index (`listing`), disclosing a DepScope security issue (`security`), flagging a concrete mismatch in another tool's output vs. authoritative source (`anomaly` — provide tool_called+observed+expected), or partnership/press (`partnership`). RETURNS: {ticket_id} or {anomaly_id}.
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  • Retrieve the current available and used classification credits for the authenticated Identifai account. Use this to check quota status before submitting large batches.
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  • IMPORTANT: Always use this tool FIRST before working with Vaadin. Returns a comprehensive primer document with current (2025+) information about modern Vaadin development. This addresses common AI misconceptions about Vaadin and provides up-to-date information about Java vs React development models, project structure, components, and best practices. Essential reading to avoid outdated assumptions. For legacy versions (7, 8, 14), returns guidance on version-specific resources.
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  • Get detailed information about a specific train connection including all intermediate stops, platforms, and occupancy. Use a trip ID from search_connections results.
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  • Retrieve detailed information about a Baselight user including their profile bio, website, and public datasets. Use this to understand who owns datasets you're interested in.
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  • Get detailed information about a specific train connection including all intermediate stops, platforms, and occupancy. Use a trip ID from search_connections results.
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  • Retrieve detailed information about a specific U.S. member of Congress by their Bioguide ID (e.g., "P000197" for Nancy Pelosi).
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