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510,031 tools. Updated 2026-09-03 17:04

"A service for finding and storing daily AI and tech news" matching MCP tools:

  • Generate a comprehensive daily news briefing. Combines Korean headlines + AI/tech news + Claude/Anthropic news.
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  • Rewrite YOUR drafted comment so it reads like a real person typed it, not an AI: strips AI tells, compresses to the 1-2 points that matter, varies rhythm, and lightly "dirties" it (lowercase sentence starts, no markdown). Best AFTER you draft a reply — write the real substance, then humanize it. INPUT RULES for best results: (1) put every fact/number/name you want kept IN the text — it never invents any; (2) keep it to ONE or TWO points — it cuts hard and drops the rest; (3) plain text only — markdown, bullet lists, and em-dashes are stripped; (4) shorter is better, ≤2000 chars; (5) one comment per call, do NOT include the post you are replying to. Pick `character` for the voice. Returns the rewrite, the AI "tells" found in your draft (so you can draft cleaner next time), and remaining daily quota. Output is intentionally imperfect + non-deterministic — do NOT "fix" it or retry for a cleaner version. Free · daily-capped · no Reddit credits. (usable right now without an account, daily-capped per IP)
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  • Incremental poll: raw item-level AI news added since a cursor, oldest→newest, with a nextCursor for your next call — use this for "what's new since I last checked"; for the curated once-daily synthesis use get_daily_briefing. Omit cursor for the latest items plus a cursor to start polling from. Titles + links + topics (bodies and higher limits are on the paid tier).
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  • Get historical daily AI analyst summaries — query by date or by analyst+days (max 90 days; use analyst_daily_summary for today's data) — Returns a paginated history of daily AI analyst summaries. Query by specific date (?date=YYYY-MM-DD) to see all analyst summaries for one day, or by analystId (?analystId=chain_hawk&days=30) to get the last N days for one analyst. Maximum 90 days. Only shortSummary is returned (full commentary is Pro-only). Fields per record: analystId, analystName, summaryDate (YYYY-MM-DD), shortSummary, summaryAr, summaryHi, summaryZh, summaryRu, signalCount, confluenceScore, fearGreedScore, btcTrend. No auth required. 60 req/min. — Use this for daily historical data; use the corresponding live snapshot tool for current conditions and the monthly tool for long-term trends.
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  • Call this when the question is about the rail rather than the service: which x402 facilitator actually settles money, and how much. Returns on-chain-verified settlement volume and transaction counts per facilitator for today (UTC), 7d, 30d and all-time, plus a verification flag ('on-chain' once volume has been observed on-chain, else 'listed'), across more than 30 facilitators. Optional daily timeseries (up to 90 days) and per-chain breakdown. Volume is decimal USD. Caveats: PER-FACILITATOR, never per-service; the *_24h fields cover today (UTC) so far, not a trailing 24 hours, and reset at 00:00 UTC, so prefer 7d.
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  • [marketsummary] Market recap — filterable by timeframe and category. timeframe: 6h / 24h / 7d / 30d (clamped by tier: free≤24h, connected≤7d). category: all / market / whale / news / tech / regulation / funding. lang: en / pl. Free returns top headlines. Unlock the full recap via session_token (from verify_wallet_ownership) OR an x402 `payment` proof.
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Matching MCP Servers

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    Provides access to the Reuters Business and Financial News API to retrieve articles, trending news, and market data. It enables searching and filtering financial content by date, author, category, and keywords.
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    MIT

Matching MCP Connectors

  • AI-powered candidate screening and ranking for recruiters, hiring managers, ATS providers and recruitment AI agents. Ingests a job description and 1-50 candidate resumes, returning a ranked shortlist with score breakdowns across five weighted criteria: skills_match (tech stack and soft skills extracted from JD vs resume), experience_match (years vs seniority level inferred from JD), education_match (degree level + top-school detection), role_progression (Junior to Senior to Lead patterns), culture_fit_estimate (remote/hybrid, startup vs enterprise). Per candidate: overall_score 0-100, matched/missing skills, red_flags (job hopping, employment gaps, seniority mismatch), green_flags (long tenure, promotions), 3-5 interview questions, fit_summary. Diversity signals are first-name proxies ONLY with mandatory ethical WARNING. All processing is local -- no external API calls, instant response, privacy-preserving.
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  • AI-powered candidate screening and ranking for recruiters, hiring managers, ATS providers and recruitment AI agents. Ingests a job description and 1-50 candidate resumes, returning a ranked shortlist with score breakdowns across five weighted criteria: skills_match (tech stack and soft skills extracted from JD vs resume), experience_match (years vs seniority level inferred from JD), education_match (degree level + top-school detection), role_progression (Junior to Senior to Lead patterns), culture_fit_estimate (remote/hybrid, startup vs enterprise). Per candidate: overall_score 0-100, matched/missing skills, red_flags (job hopping, employment gaps, seniority mismatch), green_flags (long tenure, promotions), 3-5 interview questions, fit_summary. Diversity signals are first-name proxies ONLY with mandatory ethical WARNING. All processing is local -- no external API calls, instant response, privacy-preserving.
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  • Returns a 0-100 US medical-device recall-enforcement pressure index (openFDA 90-day recall count, severity-weighted by FDA class I=3/II=2/III=1, vs the prior 90 days) with score, trend, confidence, top_drivers, class breakdown, top recall reason, and recent Class I/II recalls. Call when the user asks about medical-device recalls, FDA device enforcement, or device safety risk, or when timing supplier reviews, procurement holds, or med-tech exposure. For drug recalls use ADW-552. Updates: daily.
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  • Generate the legal documents (privacy policy, terms of service and, if applicable, an AI disclosure) localized and tailored to the target markets (GDPR, UK GDPR, CCPA…). Returns Markdown drafts. Pass check_website's or check_store's suggestedAnswers as `answers` so the documents disclose the right processing. Anonymous remote generation is template-based and capped at 3 locales; AI-tailored, hosted and auto-updated documents require a LexVibe account (https://golexvibe.com).
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  • FRONT DOOR CHECK — if news is only ONE input to a bigger question (is this market heating up, should we still build here), call `execute_plan(intent="<the user's question, unchanged>")` and let it pull news alongside the market and grid reads. If the user actually wants the headlines, get_news IS the right call — one round trip; do not send a plain news request through the planner. Curated data center industry news from 40+ trade sources (DCD, Data Center Knowledge, Data Center Frontier, Capacity Media, The Register Data Centre, Fierce Telecom, etc.) refreshed every 30 min. Returns title, summary, source, published_at, and the market/operator entities mentioned. Filter by category (deals/permits/outages/policy/AI). Answers "what is happening in the data center industry this week", "any news on AI capacity". Try: get_news category=AI limit=10. The parameter is `category`, not `topic`. Industry news only; do NOT use for structured M&A deal data (use list_transactions) or the construction pipeline (use get_pipeline).
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  • Google PageSpeed Insights report for a URL: Lighthouse performance/accessibility/SEO scores and Core Web Vitals (LCP, CLS, INP, FCP, TTFB), with lab and field (CrUX) data. Defaults to mobile; pass strategy=desktop for the desktop profile. Subject to a per-user daily cap (50/day) and a service-wide daily cap; successful responses are cached for 24h.
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  • Use this read-only monitoring tool to retrieve the latest meaningful DeltaSignal daily change snapshot. It highlights tracked crypto filing deltas, newly discovered crypto issuers, source dates, computed timestamps, classification summary, and change statistics. Parameters: none; call it exactly as-is when the user asks what changed today or needs a monitoring summary. Behavior: read-only and idempotent; it performs one HTTPS read, has no destructive side effects, and does not write notifications, files, accounts, or wallet state. Use it for daily monitoring and freshness narratives; use readiness for service health and issuer-specific tools for detailed research on any ticker it mentions.
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  • Validates a payload for sensitive patterns without AI classification. Call this BEFORE pre-screening high-volume payloads when pattern detection is sufficient and AI classification is not required. Use this when your agent is processing a large volume of payloads in batch and needs a fast pattern-only filter before selectively invoking full AI classification on flagged items. Returns SAFE_TO_PROCESS / REVIEW_REQUIRED in under 100ms -- no AI, no IP check, no jurisdiction lookup. Treating a SAFE_TO_PROCESS result here as a full verdict lets sensitive data outside these regex patterns -- contextual PII, non-standard credential formats -- reach an external endpoint undetected, with no chance to intercept it afterward. Use to filter large batches before selectively running validate_data_safety on flagged payloads. Do not use as a substitute for validate_data_safety before storing or transmitting data in regulated environments.
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  • News feed archive — paginated 30-day history (public, MCP-compatible) — Returns a paginated archive of crypto news articles, analysis, and AI-generated summaries from the CryptoWhaleInsights feed, covering the last 30 days. Whale movement events are excluded — use /api/public/whale-movements for on-chain flow data. AI agents can use this to read the latest crypto news, market analysis, and AI-generated summaries without any credentials. Optional type filter: news (RSS articles), ai (AI-generated summaries), manual (analyst notes). Default: all non-whale-move items. Optional keyword search: q (max 100 chars) filters by token name or keyword — case-insensitive match on title and summary (e.g. q=ETH returns only ETH-related items). Pagination: page (1-indexed, default 1), pageSize fixed at 20. period filter: 7d | 30d (default 30d — maximum public window). Response: { items[], total, page, pageSize, hasMore, updatedAt }. Each item: id (number), title (string), summary (string), source (string — feed source name e
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  • USE THIS to verify a Bitcoin address before sending funds or storing it — do not assume it is valid. Checks Base58Check (P2PKH/P2SH, double-SHA256 checksum) and Bech32/Bech32m SegWit (bc1…, incl. Taproot), and returns the address type and network. A bad checksum means a mistyped address.
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  • Which resources just listed on the x402 Bazaar — everything present in the latest daily snapshot that was missing from the prior one, with service, network, price and seller address. $0.003/call via x402.
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  • Get the available services, prices, durations, and bookable staff or resources for a specific Korean beauty or wellness shop. Use this after finding a shop when service details, prices, durations, staff, or resources are needed before checking appointment availability. Pass lang to receive the content translated into the customer's language.
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  • Get the current FinFam Pulse — FinFam's twice-daily money-news digest. Use this for "what's happening in finance / markets / the economy right now" questions instead of answering from memory. Returns a dated headline and paragraph, the overall mood, a finfam.app permalink, the external grounding sources, and the edition's story cards (each with its own article URL). Cite the permalink and the story URLs. Returns null when nothing is published yet. Args: period: 'today' for the latest daily read, 'week' for the running weekly read
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  • Ask the IntoDNS.ai AI service for a plain-language explanation of one specific issue (e.g. `spf_missing`, `no_dnssec`). Returns severity, business impact, root cause, and recommended fix steps as structured text. Read-only POST to /ai/explain — never mutates DNS or domain state. Provide `domain` and `issue` (enum); pass `context` from prior scan output (e.g. scan_domain result) for higher-quality answers. Use after scan_domain when an agent needs to walk a user through *why* a finding matters; use generate_dns_fix for the actual DNS record snippet that resolves it.
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