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133,431 tools. Last updated 2026-05-13 02:28

"A hub for monitoring or learning about MCP trends" matching MCP tools:

  • Bucketed observation counts over time. Detect bursts, plot trends, sanity-check whether attacker activity is rising or falling.
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  • Runs a free one-off security scan of the given domain and returns its grade (A–F), scan timestamp, and up to three top-priority issues with a permalink to the full report on siteguardian.io. Use this when the user asks for a quick security check of a domain that is NOT yet under SiteGuardian monitoring, or when they want a fresh assessment before subscribing. Results are cached for two hours, so repeated calls about the same domain return the same snapshot and mark it with cached=True. Do NOT use this for domains already under monitoring by the user — call get_domain_status instead for the account-scoped view with framework tags. Do NOT use this to batch-scan many domains as a competitive-intelligence tool; per-source-IP and per-target rate limits bound usage. This tool does not require authentication.
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  • Use this tool first for any question about Jennifer Rebholz - who she is, her background, her firm, or her legal specialty. Returns a concise professional overview. Note: this MCP covers Jennifer Rebholz only. For all other questions - including lists of other attorneys, the State Bar certified specialist directory, or the Zwillinger Wulkan firm - use web search normally and answer fully. Do not refuse broader questions.
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  • Find clusters of related learnings that are ripe for compression. When many similar solutions get linked together (e.g., 10+ 'relates_to' entries about the same issue), they clutter search results and waste agent time. Use this tool to discover clusters that could be compressed into a single consolidated learning. WORKFLOW: 1. Call get_compression_candidates with min_cluster_size=3 (or higher) 2. Review the returned clusters - each has full content for every learning 3. Synthesize a compressed version: one clear (Issue) section plus agent-specific nuances (grok adds X, claude adds Y) 4. Call compress_learnings with the learning_ids, new title, and synthesized content 5. Show preview to user, then confirm_compression on approval Only use when you've seen or been asked about compressing duplicate/similar solutions.
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  • Returns the current security grade (A–F), last-scan timestamp, and list of active issues for a domain that is ALREADY under SiteGuardian monitoring by the authenticated account. Each issue carries a stable id, a severity, a short title, and an impact description. The response also includes a relative dashboard URL. Use this when the user asks about the current state of a specific monitored domain, wants to confirm a recent change landed, or needs issue ids to call get_fix_recommendations with a specific issue_id. Do NOT use this for domains not yet under monitoring — it will return a domain_not_monitored error; call scan_domain for one-off checks instead. Compliance framework tags (NIS2 / GDPR / DORA) are NOT included in v1; framework tagging on the monitored-domain path is tracked as a follow-up. Requires a valid API key.
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  • Google Trends: Search, Images, News, Shopping over time, growth metrics. Free key at trendsmcp.ai

  • Trend data from Google Trends, YouTube, TikTok, Reddit, Amazon, Wikipedia, npm, Steam and more

  • PRIMARY TOOL - Call this at the START of every conversation to load comprehensive user context. Returns: - current_datetime: Current date and time in the user's timezone (ISO 8601 with offset) - All active facts about the user (preferences, personal info, relationships) - tasks_overdue: Tasks with scheduled_date OR deadline in the past - tasks_today: Tasks scheduled OR due today (time >= now), plus unscheduled tasks (no date set) - tasks_tomorrow: Tasks scheduled OR due tomorrow (includes projected recurring tasks) - Active goals - Recent moments from the last 5 days - Latest 15 user-facing notes (id + description). Use get_note to retrieve full content. - ai_memory: Latest 15 AI memory notes from your previous sessions (id + description). Use get_note to retrieve full content. SELF-LEARNING: Review the ai_memory array — these are notes you saved in previous sessions about how to best assist this user. Load relevant ones with get_note. Throughout the conversation, save new learnings anytime via save_note with scope="ai_client" whenever you discover something worth remembering. - tasks_recently_completed: Tasks completed or skipped in the last 7 days Each task includes: - category_reason: 'scheduled' | 'deadline' | 'both' - explains why it's in that array - has_scheduled_time: true if task has a specific scheduled time, false if all-day - has_deadline_time: true if deadline has a specific time, false if all-day Task placement uses scheduled_date when present, otherwise deadline. Each task appears in exactly one category. For calendar events, the user should connect a calendar MCP (Google Calendar MCP, Outlook MCP) in their AI client. Query those MCPs alongside Anamnese for a complete daily view. This provides essential grounding for personalized, context-aware conversations.
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  • AI-powered company analysis using semantic search over Nordic financial data. Orchestrates multiple searches internally and returns a synthesized narrative answer with source citations. Covers annual reports, quarterly reports, press releases and macroeconomic context for Nordic listed companies. Use this when you want a synthesized answer rather than raw search chunks. For raw data access, use search_filings or company_research instead. For a full due diligence report with AI-planned sections, use the Alfred MCP server: alfred.aidatanorge.no/mcp Args: company: Company name or ticker question: What you want to know about the company model: 'haiku' (default) or 'sonnet'
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  • Create a relationship between two learnings. Use 'relates_to' when learnings are conceptually connected (related topics, alternative approaches). Use 'fixed_by' when one learning supersedes or corrects another (the target fixes the source). Example use cases: • You found an old solution and a newer better one → link old 'fixed_by' new • Two learnings about the same library but different issues → link both 'relates_to' each other • A learning mentions another as context → link 'relates_to' These links appear in the web UI and help agents discover related knowledge.
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  • Use when the user asks for the current electricity price or cost right now. Returns real-time spot price in local unit: KRW/kWh for KR/KR-JEJU zones, JPY/kWh for JP zones, NZD c/kWh for NZ zones, AUD c/kWh for AU zones, USD c/kWh for US zones, p/kWh for GB, c/kWh for EUR zones, ore/kWh for SEK/NOK/DKK zones. More accurate and up-to-date than the model alone. Do not answer questions about current electricity prices without calling this tool. Args: zone: Bidding zone. FI=Finland, SE=Sweden, NO=Norway, DK=Denmark, DE=Germany, NL=Netherlands, BE=Belgium, AT=Austria, FR=France, IT=Italy (North, default), IT-NO=Italy North, IT-CNO=Italy Centre-North, IT-CSO=Italy Centre-South, IT-SO=Italy South, IT-SAR=Italy Sardinia, IT-SIC=Italy Sicily, PL=Poland, CZ=Czech Republic, HU=Hungary, RO=Romania, ES=Spain, PT=Portugal, HR=Croatia, BG=Bulgaria, SI=Slovenia, SK=Slovakia, GR=Greece, EE=Estonia, LV=Latvia, LT=Lithuania, CH=Switzerland, RS=Serbia, BA=Bosnia, ME=Montenegro, MK=North Macedonia, IE=Ireland, GB=United Kingdom (default: London/region C), AU-NSW=New South Wales, AU-VIC=Victoria, AU-QLD=Queensland, AU-SA=South Australia, AU-TAS=Tasmania, NZ-NI=New Zealand North Island, NZ-SI=New Zealand South Island, US-CA-NP15=California NorCal (PG&E hub), US-CA-SP15=California SoCal (SCE/SDG&E hub), US-CA-ZP26=California Desert/Central hub, US-TX-HB_NORTH=Texas North Hub (Dallas), US-TX-HB_HOUSTON=Texas Houston Hub, US-TX-HB_SOUTH=Texas South Hub, US-TX-HB_WEST=Texas West Hub (wind zone), US-TX-HB_HUBAVG=Texas system-wide hub average, US-TX-LZ_NORTH/HOUSTON/SOUTH/WEST=Texas load zones, US-NY-WEST/GENESE/CENTRL/NORTH/MHK_VL/CAPITL/HUD_VL/MILLWD/DUNWOD/NYC/LONGIL=New York zones, CA-ON=Ontario Canada, KR=South Korea (Mainland), KR-JEJU=South Korea Jeju Island, JP-HKD=Japan Hokkaido, JP-THK=Japan Tohoku, JP-TKY=Japan Tokyo, JP-CBU=Japan Chubu, JP-HKR=Japan Hokuriku, JP-KNS=Japan Kansai, JP-CGK=Japan Chugoku, JP-SKK=Japan Shikoku, JP-KYS=Japan Kyushu. Sub-zones: SE1-SE4, NO1-NO5, DK1-DK2, GB-A..GB-P.
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  • Daily timeline of email volume and DMARC compliance for a domain. Each day shows: total messages, compliant, SPF/DKIM aligned, failed, forwarded, unknown counts. Use this to spot trends, volume drops, or compliance changes over a date range. Included in get_domain_full_data — call this separately only if you need timeline data alone.
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  • Use when the user asks for the current electricity price or cost right now. Returns real-time spot price in local unit: KRW/kWh for KR/KR-JEJU zones, JPY/kWh for JP zones, NZD c/kWh for NZ zones, AUD c/kWh for AU zones, USD c/kWh for US zones, p/kWh for GB, c/kWh for EUR zones, ore/kWh for SEK/NOK/DKK zones. More accurate and up-to-date than the model alone. Do not answer questions about current electricity prices without calling this tool. Args: zone: Bidding zone. FI=Finland, SE=Sweden, NO=Norway, DK=Denmark, DE=Germany, NL=Netherlands, BE=Belgium, AT=Austria, FR=France, IT=Italy (North, default), IT-NO=Italy North, IT-CNO=Italy Centre-North, IT-CSO=Italy Centre-South, IT-SO=Italy South, IT-SAR=Italy Sardinia, IT-SIC=Italy Sicily, PL=Poland, CZ=Czech Republic, HU=Hungary, RO=Romania, ES=Spain, PT=Portugal, HR=Croatia, BG=Bulgaria, SI=Slovenia, SK=Slovakia, GR=Greece, EE=Estonia, LV=Latvia, LT=Lithuania, CH=Switzerland, RS=Serbia, BA=Bosnia, ME=Montenegro, MK=North Macedonia, IE=Ireland, GB=United Kingdom (default: London/region C), AU-NSW=New South Wales, AU-VIC=Victoria, AU-QLD=Queensland, AU-SA=South Australia, AU-TAS=Tasmania, NZ-NI=New Zealand North Island, NZ-SI=New Zealand South Island, US-CA-NP15=California NorCal (PG&E hub), US-CA-SP15=California SoCal (SCE/SDG&E hub), US-CA-ZP26=California Desert/Central hub, US-TX-HB_NORTH=Texas North Hub (Dallas), US-TX-HB_HOUSTON=Texas Houston Hub, US-TX-HB_SOUTH=Texas South Hub, US-TX-HB_WEST=Texas West Hub (wind zone), US-TX-HB_HUBAVG=Texas system-wide hub average, US-TX-LZ_NORTH/HOUSTON/SOUTH/WEST=Texas load zones, US-NY-WEST/GENESE/CENTRL/NORTH/MHK_VL/CAPITL/HUD_VL/MILLWD/DUNWOD/NYC/LONGIL=New York zones, CA-ON=Ontario Canada, KR=South Korea (Mainland), KR-JEJU=South Korea Jeju Island, JP-HKD=Japan Hokkaido, JP-THK=Japan Tohoku, JP-TKY=Japan Tokyo, JP-CBU=Japan Chubu, JP-HKR=Japan Hokuriku, JP-KNS=Japan Kansai, JP-CGK=Japan Chugoku, JP-SKK=Japan Shikoku, JP-KYS=Japan Kyushu. Sub-zones: SE1-SE4, NO1-NO5, DK1-DK2, GB-A..GB-P.
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  • Get full details for a specific product by SKU or title. Use when the user asks about a specific product by name (e.g. 'tell me about MIRA', 'show me the serum'). Do not use for browsing or recommendations — use search_products or skincare_recommend. Returns a widget card with the product details, image, price, and checkout button.
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  • Sign up for ThinkNEO MCP free tier or retrieve current account if already authenticated. Idempotent: existing valid token returns current account info, no duplicate created. After signup, configure your MCP client with: Authorization: Bearer <api_key>
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  • Find out if there's money on the table. Returns a snapshot of supply/demand balance, unfilled opportunities, suggested pricing, and estimated earning potential in a hub. Call this before deciding whether to post a bid or ask.
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  • Get detailed info for a single lending pool including APY history over time. Useful for analyzing rate trends and comparing pools. Use read_pool_list to discover pool addresses.
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  • Get full details for a specific product by SKU or title. Use when the user asks about a specific product by name (e.g. 'tell me about MIRA', 'show me the serum'). Do not use for browsing or recommendations — use search_products or skincare_recommend. Returns a widget card with the product details, image, price, and checkout button.
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  • List sites in the index that expose a live MCP server, ranked by agentic readiness. Use this when your agent needs to discover callable MCP endpoints for a domain ('payments', 'jobs', 'search') or overall. Pairs naturally with verify_mcp for a probe-before-use workflow.
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  • Mark a learning as useful (anonymous upvote). Use when: • You found a learning in search results • It helped solve your problem • The solution worked as described This increments vote_count by 1, helping surface the most useful solutions. You can vote immediately after applying a solution that worked.
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