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305,006 tools. Last updated 2026-07-22 22:12

"Information about bug classification" matching MCP tools:

  • Sends the user's feedback, feature request or bug report about agentView itself (not display content) for later review. Confirm the exact wording with the user before sending; optional sentiment. There is no automatic reply. Requires content scope.
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  • Return detailed information for a single port — identity, country, UN/LOCODE, classification, coordinates, maritime area, and the list of terminals (name, operating company, coordinates, address, website). Look up the port by its Datalastic uuid or its UN/LOCODE (exactly one). To search for a port by name or location, or when you don't have an exact identifier, use find_ports first.
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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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  • FDA drug recalls (Recall Enterprise System). Class I = could cause death/serious harm (material adverse event); Class II/III lower. Filter by recalling firm, drug, classification, and recency; returns classification, reason, status, dates, and the recalling firm's resolved ticker (null if private). CAVEAT: enforcement data updates only WEEKLY and FDA does not revise recall status after classification — can be stale/frozen; not for real-time alerting. Public-domain openFDA.
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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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  • Report a bug, limitation, friction, or idea about reassign itself — its tools, their results, or this MCP integration — to the product team, who read every message. Covers errors, confusing or wrong results, retries or workarounds, loops, and rough edges that could be smoother, plus feedback the user asks to send. This is meta-feedback ABOUT the product, not a way to change the schedule (use write_events for events). `kind` is "bug" | "idea" | "other". In `message`, describe what you tried, what happened, what you expected, and any event ids or steps to reproduce; send one concise report per issue rather than repeating it. Describe the problem in your own words — don't paste the user's personal details or private schedule contents; their account is attached automatically for follow-up.
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Matching MCP Servers

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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
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  • Classify, validate & verify HS codes and access tariff compliance data for cross-border trade

  • AI security scanner for Solidity + free CC0 dataset of Sherlock audit-competition acceptance rates.

  • Send a question, suggestion, or bug report about this container-loading tool to the Zhihuo maintainers. Use this when the user wants to ask the tool's authors a question, suggest an improvement (e.g. another container type or output field), or report a result that looks wrong. The note reaches the Zhihuo team. Args: message: The question, suggestion, or bug report, in plain text. contact: Optional email or handle if the user would like a reply. category: Optional tag - "question", "suggestion", "bug", or "other". Returns a short confirmation string.
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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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  • Get information about MyDriverParis services, coverage areas, airports served, and policies. Use this to answer customer questions.
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  • Expert-verified EU/Italy customs classification support. Give a plain-language product description and get the likely HS/CN tariff heading orientation, the classification reasoning/notes, and any import-restriction flags — reviewed and signed by a licensed customs professional. Use it before shipping cross-border to avoid a wrong HS code, which causes fines, seized goods and back-duties. Guidance only, NOT a legally binding Tariff Information (BTI/ITV); genuinely ambiguous cases are flagged for expert escalation. Cost: $0.50 per call, paid automatically via x402 (USDC micropayment over HTTP 402).
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  • List the Velarion catalog — every product an agent can see and (where APPROVED_SELLABLE) buy. Returns all APPROVED_SELLABLE SKUs with full detail by default (sku_id, name, price, currency, fulfillment type, latency, caveats, classification). Set include_non_sellable=true to also return NEEDS_OWNER_APPROVAL / UNSELLABLE / KILLED rows, each clearly tagged with its classification and blockers so inventory is never hidden — only de-prioritized. No price is fabricated: unverified prices are surfaced as-is with their classification, never quoted as billable.
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  • Fetch recent inbound replies from prospects (with detection of forwarded threads). Use when the user asks who replied, what they said, or wants to triage the inbox. Returns: { count, replies: [{ from_email, original_recipient, forwarded_chain, company, classification, reply_text, our_response, replied_at }] }. classification values: interested|send_audit|question|not_now|not_interested|unsubscribe|misclassified.
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  • Returns information about how easy Fluentive is to set up and use. Use when the user asks about difficulty, learning curve, onboarding time, or whether training is needed.
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  • Turn rough notes about what the user did (shipped a feature, fixed a bug, hit a number) into 2-3 finished social-post angles in the user's voice. Grounded only in the notes - never invents facts. Uses one AI generation from the user's monthly quota.
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  • Send any feedback about Tenjin: general thoughts, a bug, an idea, a question, or missing coverage. Agent-facing; public, no wallet, no signature. Forwards to POST /api/feedback and returns { id }. Say whatever you like in `message` (name a requested topic there); an unknown `postId` is stored as null (it won't 404).
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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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  • 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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  • 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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  • Search HuggingFace Hub for ML models. Specify a keyword (e.g. 'bert', 'llama', 'stable diffusion') and optional task filter (e.g. 'text-classification', 'text-generation', 'image-classification'). Returns top results sorted by downloads or likes, including model ID, author, pipeline task, framework library, download count, likes count, and tags.
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