Skip to main content
Glama
727,865 tools. Updated 2026-10-31 06:59

"A server for finding the top news about AI" matching MCP tools:

  • Check whether AI assistants (ChatGPT, Claude, Perplexity, Google AI) can reach, read, and cite a web page. Runs the full suite: robots.txt rules per AI crawler, a live firewall test that requests the page as GPTBot, JavaScript dependency, llms.txt, headings, structured data, and author identity. Returns a score out of 100 with a grade, a score per category, and a finding per check with why it matters and how to fix it. Use this for a whole-page verdict; use check_robots_txt_for_ai when the question is only about crawler access. Returns { ok, report: { score, grade, scoredOutOf, categories[], findings[] with why and fix, detection }, cached, ageSeconds }. Limit: 10 runs per hour per IP. Allow up to 75s for a response. Free, no account, no API key. Pass `url` to start a run. A slow run answers with `{ status: "pending", runId }` instead of a result: call this same tool again with just that `runId` to collect it, as many times as it takes. Collecting costs no rate-limit slot.
    ConnectorNo auth
  • Get the AI credit balance: what is left, what the plan includes, what came from rollover or top-ups, and when the allowance resets. Set includeHistory to also get where the credits went — per day and per feature. Use this for AI credits only; for plan limits across every category use get_usage_limits. Requires organization context. Read-only: plan, seat and top-up changes are not available through MCP by design — a human does those in the web app.
    ConnectorAPI key
  • Use this when the user wants to check whether people talk about a topic or an angle in public, such as "is there discussion about personalised dog food?". Pass one to five short phrases. Searches Hacker News and, if stack_site is given, one Stack Exchange site, for posts in the last year (or since_days). Returns per phrase the number of matching posts, the top three with title, link, score and comment count, and a plain signal. It is a weak signal skewed to technical and hobby topics, not a market size, and it does not search Reddit.
    ConnectorNo auth
  • News about one football club from gol24.uz, newest first. Use it instead of search_news whenever the question is about a specific club ("latest Real Madrid news", "Barcelona transfers"). For a player or coach use person_news; for general news use latest_news. The club is matched by its name (English names work: "Real Madrid", "Manchester City", "Paxtakor") or a partial name. Optional type filter, e.g. type="transfer" for transfer news only. Returns the matched club name, its gol24.uz page and up to `limit` items (default 10, max 20) with the same fields as latest_news. If the club is unknown, returns an error listing similar club names - retry with one of them. Rate limit: 60 requests per minute.
    ConnectorNo auth
  • News search: latest news articles and headlines by keyword with title, url, source and published_at from our own index of about 100,000 English web articles a day (built from the GDELT Project, thousands of outlets, last 7 days, updated every 15 minutes) plus Hacker News. Category (business, tech, health, science, politics) filters by GDELT topic. Use for current events and topic monitoring. For crypto news use crypto-news, for what people say about a topic discussion-search, and for full article text pass the URLs to web-read-batch. Params: query (required), limit (max 30), category. Price: $0.0065 USDC per call, paid inside this MCP call via x402 (USDC on Base, Solana, Polygon or Arbitrum). x402 MCP clients such as @x402/mcp pay automatically. Free sample: call with the example input {"query":"AI agents","limit":5}.
    ConnectorOAuth
  • Use this when the user asks for data center industry news or headlines (execute_plan also pulls news inside a broader market question). 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). limit 1-500 (free 20). Empty data = no matching news: drop category/source or widen date_from/date_to.
    ConnectorNo auth

Matching MCP Servers

Matching MCP Connectors

  • About Bureau, the self-hosted office for AI agents: overview, FAQ search, roadmap, install.

  • QR TopOAuth

    Dynamic QR codes by chat: edit destinations after printing, smart routing, and scan analytics.

  • AI: removes an object and fills in the background (AI). Say what to remove with `word` (e.g. "dog", "sign"; the server finds it), `box` [x1,y1,x2,y2] in image pixels, or `channel` (an existing selection channel, e.g. from any selection tool). The server grows the object's mask a little (`grow_px`, default about 0.5% of the object's long side, at most 50), cuts out a square of the photo around it at full resolution, has the AI fill the hole, and adds the result as a NEW layer "Removed: ..." directly above the layer it was cut from (the top of the stack when no `layer` is given), covering only the filled area. Nothing else is changed: delete that layer to undo. Check the result with preview or compare. The AI is shown a square of the photo around the object (about 2x its long side, at most 4000 px), so large objects work. One is refused before anything is sent when it is longer than that square allows, or when its hole would be more than a quarter of what the AI works on (an object that fills most of the photo): select a smaller part, or remove it in pieces. Takes about 5 to 15 s (longer the first time). Do NOT use for small blemishes or dust (retouch spot_heal is faster).
    ConnectorOAuth
  • Get aggregate market mood — overall sentiment score/label + top 5 tokens (no auth; use sentiment_history for per-token time-series) — Non-gated social sentiment summary: the aggregate market-mood score/label plus the top 5 tokens by sentiment (AI insight text excluded). Served from cache (no per-request AI cost). Full per-token AI insights require a Max Alpha subscription. Cached ~5min.
    ConnectorNo auth
  • 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
    ConnectorNo auth
  • 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.
    ConnectorNo auth
  • 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.
    ConnectorNo auth
  • Get remediation advice for a single finding as GitHub-flavored markdown. When AI Assist is enabled and within budget this is a suggestion written for this exact finding; otherwise it falls back to the static guidance-library text and says so in 'source'. Unlike the other reads this one can spend AI budget, which is why it is a separate tool. Use this for advice on one finding; for the whole library use list_security_guidance. Requires project context.
    ConnectorAPI key
  • AI credit balance for the API key's creator: monthly allowance remaining, purchased top-ups (never expire), total available, reset date, and whether the AI Course Builder is enabled for this community. Check this before generating. Needs scope read:ai.
    ConnectorNo auth
  • Fetch ABC News Australia top stories from the public feed; returns headline items from the general top-story stream. For a section-specific list, use abcau_headlines with a supported section slug. Use abcau_article with a returned article URL when you need one story's body.
    ConnectorNo auth
  • Fetch CBC News top stories from the public feed; returns headline items from the general top-story stream. For a section-specific list, use cbc_headlines with a supported section slug. Use cbc_sections to discover section slugs. Use cbc_article with a returned article URL when you need one story's body.
    ConnectorNo auth
  • Fetch CBS News top stories from the public feed; returns headline items from the general top-story stream. For a section-specific list, use cbsnews_headlines with a supported section slug. Use cbsnews_sections to discover section slugs. Use cbsnews_article with a returned article URL when you need one story's body.
    ConnectorNo auth
  • Fetch E! News top stories from the public feed; returns headline items from the general top-story stream. For a section-specific list, use eonline_headlines with a supported section slug. Use eonline_sections to discover section slugs. Use eonline_article with a returned article URL when you need one story's body.
    ConnectorNo auth
  • Fetch RTÉ News top stories from the public feed; returns headline items from the general top-story stream. For a section-specific list, use rte_headlines with a supported section slug. Use rte_sections to discover section slugs. Use rte_article with a returned article URL when you need one story's body.
    ConnectorNo auth
  • Fetch Sky News top stories from the public feed; returns headline items from the general top-story stream. For a section-specific list, use skynews_headlines with a supported section slug. Use skynews_sections to discover section slugs. Use skynews_article with a returned article URL when you need one story's body.
    ConnectorNo auth
  • Returns The Sydney Morning Herald's current public "Latest News" feed (about 20 stories): title, canonical URL, summary, author, publication time (UTC), and lead image; returns headline items from the general top-story stream. For a section-specific list, use smh_headlines with a supported section slug. Use smh_sections to discover section slugs. Use smh_article with a returned article URL when you need one story's body.
    ConnectorNo auth
  • Search the web with SERP, AI synthesis, or both. Returns, by mode: serp the organic results (title, url, snippet, position) with any knowledge graph and featured snippet; ai a written answer with the URLs it cites; deep both. Use for current facts, news and finding pages. To read one page in full use scrape; for a report built from many sources use research. Cost: serp 1 credit, ai 2 credits, deep 3 credits, charged only when a call succeeds.
    ConnectorNo auth