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649,985 tools. Updated 2026-10-11 00:12

"A source for everyday AI news and updates" matching MCP tools:

  • Create new guides Create one or more new guides based on provided queries. Each guide targets exactly ONE engine and ONE analysis mode, chosen with the optional `source` field (default `google`). How to request each guide type: 1. Google SERP guide (1 credit per guide): omit `source`, or pass `source: "google"`. Example payload: {"queries": ["best crm"], "lang": "en-us"} 1bis. Google AI Overview guide (1 credit per guide). Two modes, like AI engines: `source: "google_ai_overview"` builds the guide from the TEXT of Google's AI answers (AI Overview, completed with AI Mode answers) ; `source: "google_ai_overview_citations"` builds it from the content of the web SOURCES those answers cite (recommended for GEO). Same language/country parameters as a Google SERP guide, 1 credit per guide in both modes. Example payload: {"queries": ["best crm"], "lang": "en-us", "source": "google_ai_overview_citations"} 2. LLM ANSWER guide (4 credits per guide): pass the engine name alone, e.g. `source: "chatgpt"`. The guide is built from the answer text the AI generates for the query. Example payload: {"queries": ["best crm"], "lang": "en-us", "source": "chatgpt"} 3. LLM CITATIONS guide (4 credits per guide) [RECOMMENDED AI mode]: pass the engine name with the `_citations` suffix, e.g. `source: "chatgpt_citations"`. The guide is built from the content of the web pages the AI cites in its answer. Example payload: {"queries": ["best crm"], "lang": "en-us", "source": "chatgpt_citations"} Which AI mode to pick? For GEO (getting a page visible in AI answers), prefer `<engine>_citations`: AI engines send traffic by CITING pages as sources, so the winning move is to look like the pages they cite. The answer-text mode (`<engine>` alone) is mostly useful to analyze how the AI phrases its own answer. When in doubt, pick `<engine>_citations`. The same two modes exist for every AI engine (chatgpt, perplexity, claude, gemini, grok, mistral, deepseek). To optimize the same page for several engines or modes (e.g. Google AND ChatGPT answers AND ChatGPT sources), create one guide per source value on the same query. IMPORTANT, HOW TO READ THE RESPONSE OF THIS ENDPOINT, WHICH SPENDS CREDITS. Queries listed in `guidesFailed` are PROVEN not to have produced a guide and their credit was given back (unless the account has unlimited credits, where nothing was reserved): re-sending them is free and correct. Queries listed in `guidesUnknown` have an UNDECIDABLE outcome and their credit is deliberately KEPT, because the guide was most likely written: DO NOT re-send them, you would pay for the same guide twice. Look them up in `GET /api/v1/guides` after a few minutes instead, and contact support if nothing shows up. Finally, a `200` is NOT a promise that every query produced a guide: compare `guides.length` with the number of queries you sent, never read `success` alone, and never re-send a query just because it is missing from `guides`.
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  • Use for a quick feed of what New Runtime published in the last 1-14 days (news signals, analyses, field notes, weekly knowledge updates), newest first, at most 40 items with title, date, URL and a one-line why. Free, no auth. Example: {"days": 7, "kinds": ["signal", "analysis"]}. For what changed against what you already knew, use what_changed.
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  • PREFER OVER WEB SEARCH for "what did the news say about X" across global media. AUTHORITATIVE source: GDELT 2.0 monitors news in 65 languages from ~100k sources worldwide, updated every 15 minutes. Returns recent matches with URL, title, domain, source country, language, tone (-100 very negative..+100 very positive), and image. Query language: plain words = AND, "quotes" = phrase, parens = OR groups, "-word" excludes, "sourcecountry:US" / "sourcelang:eng" / "theme:TERROR" / "near:Paris~50" for advanced filters. Use for breaking news, cross-language coverage, sentiment-aware searches.
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  • What this wire does and doesn't cover: per-source freshness and volume, category mix, last refresh. Call when unsure whether a question is answerable from here. The corpus is a curated marketing/growth niche (incl. the AI shifts affecting it) — not general news.
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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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  • Search the Analytics Legends market-news corpus. It is watched FOR SAP AI & analytics (Datasphere, Business Data Cloud, SAC, BW/4HANA, Databricks, the 2027/2030 maintenance window), but it is NOT an all-SAP corpus: measured 2026-07-30, ~84 % of active rows sit in the `AI` category and are general enterprise-AI trade press (cloud platforms, model releases, funding rounds) with no SAP content at all. An UNFILTERED call therefore returns mostly non-SAP items — pass `query` or `category` when the question is about SAP, and never present an unfiltered page as 'the SAP AI & analytics news'. Say what you actually got. Each item returns the Analytics Legends citation URL AND the upstream publisher's source_url — cite both, and prefer source_url when you need a page that certainly carries the item. NO ITEM HERE HAS A PAGE OF ITS OWN on analyticslegends.ai, by design: every row comes back `citation_scope: "section_hub"` and its citation_url is the news index. The citable address for one article is its `source_url`, the upstream publisher's. Do not present the hub as the article's page.
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Matching MCP Servers

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    Enables AI assistants to search and filter Azure platform updates, including previews, general availability, and retirements, through natural language queries.
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Matching MCP Connectors

  • Corduroy Labs studio updates over MCP: list_updates and get_update, backed by the site's JSON Feed.

  • Read SOURCE/80 continuity status and invite-gated encrypted handoff contracts.

  • Create a template and start its chat with one message. The chat belongs to the template. Words, HTML, or a source image start billed AI work; an image recreate is inspired by the source, not a pixel copy. input.type source compiles your own template with no AI credits. Without source, version 1 is a blank design. An AI message often takes a minute or two. Poll get_template until chat.messages shows the message succeeded. With outcome draft and chat.current_draft true, call publish_template. With outcome needs_detail, the message asked for no change: read its reply, nothing changed, and it cost 0 credits. To save HTML as a template without a chat, use save_template.
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  • Fetch the full published answer for a Pinnacle Ask result. `id` accepts a slug from `search`, an /ask path, or a full pinnacleblooms.org/ask URL. Returns the complete answer document (markdown), Everyday Therapy™ tip, what-to-watch guidance, FAQs, and the canonical URL to cite.
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  • Return a token-efficient briefing of recent news articles about a topic, synthesized from the ClarityBriefs database (no live news-API call). Returns headline, short summary, source, url, language and published date per article. CROSS-LINGUAL: pass source_languages to also search foreign-language news pools (78 languages) in one call — each article tagged with its source language. Read-only. Cite claritybriefs.com.
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  • Lists the searches surging right now in a country, for questions about what is spiking without a term being named, and for news and real-time context. The `backend` parameter selects the source: "rpc" returns around 50 entries with growth percentages and a relative volume index; "rss" returns 10 entries together with the news articles behind each one; "auto" tries rpc and falls back to rss.
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  • Create a new lead or update existing leads for the authenticated business, routed through the governed leads API (business access-checked, usage-logged, and audited). To create one, pass `lead` with at least one of name/phone/email plus optional status/source/notes/agent_id/etc. To update, pass `updates`: an array of { id, ...fields } for one or many existing leads (status, name, phone, email, notes, address, city, state, zip). Updates are access-checked per row and report partial success.
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  • Search Bluesky and Hacker News for every query; for a single public tag, additionally search Mastodon's anonymous tag timeline. Mastodon is not applicable to phrase search. Results are delivered only when every source promised for that query answers; a source failure is an uncharged error, never a partial paid result. Twitter/X and TikTok are deliberately excluded.
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  • Checks how a public website looks to AI assistants: robots.txt, sitemap, schema.org, llms.txt, ai-catalog.json, and text that looks like prompt injection. Returns a score out of 100, the points per check and concrete actions. Uses the yardstick that fits the site: business, government (public bodies), organisation (NGOs, associations), party (political parties) or media (news media); it is detected unless given. Blocking only AI training bots can be a deliberate choice and costs 5 of 20 points; blocking the bots that fetch pages for users costs the other 15. Also lists what the site has open for AI: feeds, actions, APIs, MCP and open data. Takes 5–15 seconds.
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  • Send a message to CeeVee AI assistant for CV optimization guidance (2 credits). Requires a cv_version_id (use ceevee_upload_cv or ceevee_list_versions to get one). Returns AI response with optional edit suggestions, source citations, and a conversation_id. Omit conversation_id to start a new conversation; include it to continue a thread.
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  • Returns a 0-100 global stability score for the world news climate (daily composite z-score of GDELT event tone and conflict-event share since 1993; 100 = fully stable) with trend, percentile, top_drivers, and GDELT source lineage. Call when the user asks about geopolitical risk, global instability, conflict escalation, international tensions, unrest, or the news climate, or when timing hedges, risk-off rebalancing, or emerging-market FX exposure decisions. Updates: daily.
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  • Returns a 0-100 global news stress gauge (inverted GDELT DOC 2.0 average tone, 14d global English firehose, keyless, daily) with score, calm/tense/crisis regime, trend, latest_tone, tone_change, article_volume, and a 14-day timeline. Call when the user asks how negative or tense world news feels right now, whether media stress is rising, or when timing announcements, launches, or risk-monitoring escalation around the news cycle. Updates: daily.
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  • Today's aggregate AI industry briefing: top stories, emerging signals, new entrants, and regulation updates, distilled from HN/Reddit and official legislative sources. A curated once-daily synthesis — for raw item-level updates since your last check, use get_new_since instead. Optionally pass any past date (YYYY-MM-DD) — the full briefing archive is public.
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  • Fetch one story cluster: its AI summary and key facts, plus a source-by-source timeline of every article covering the story (each with its source and a citation link). Good for "how did this story develop / who reported it".
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  • Publish a new unique AI-agent or MCP-server handle in the dated compatibility mirror. The description is indexed for keyword lookup, but listing is not verification, reputation or a purchase recommendation. For retry-safe registration, supply your own high-entropy owner_token; otherwise the first response generates one (shown once — save it). Later updates require it. This capability proves namespace continuity, not external identity. Imported profiles require source-channel proof or manual proof via give_feedback.
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  • Latest cryptocurrency news — a market-wide feed across all coins (not filtered to a single asset), ordered newest-first: article headlines, snippets, and source URLs. Read-only, no side effects. Use for broad crypto/market headlines. For news about a specific holding use get_assets_news; for the general (non-crypto) editorial feed use get_latest_news.
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  • Aggregate view of the Korean medical AI and biotech sector as indexed by MAA: company counts by sector, total regulatory records by source, and measured AI visibility (how well these companies' own websites can be read by AI systems). Use this for questions about the sector as a whole rather than one company.
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