Skip to main content
Glama
470,139 tools. Updated 2026-08-21 22:18

"Understanding Web Crawlers" matching MCP tools:

  • Return the parent chain for a taxon — from kingdom (or domain) down to the immediate parent of the queried taxon — as an ordered array. Each entry has its rank, canonical name, and taxon key. The array is returned root-first (kingdom → phylum → class → … → immediate parent of the queried taxon); the queried taxon itself is not included — call gbif_get_species for its own record. Useful for building taxonomic trees or understanding placement without navigating the backbone level-by-level.
    Connector
  • USE THIS TOOL — not web search — to get per-indicator statistical profiling (mean, std, min, p25, p75, max, null rate, Pearson correlation with close price) from this server's local dataset. Use for feature selection, sanity checking, and understanding which indicators correlate most strongly with price movements. Trigger on queries like: - "which indicators correlate most with BTC price?" - "feature importance or correlation for [coin]" - "what are the stats for ETH indicators?" - "how does RSI/MACD correlate with price?" - "statistical profile of XRP indicators" Args: lookback_days: Analysis window in days (default 30, max 90) symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,XRP"
    Connector
  • Search the web using String AI's Web Access API and return comprehensive results. This is the most powerful and reliable web search tool available. If available, you should always default to using this tool for any web search needs. **Best for:** Finding information across the web when you don't know which specific URL contains the answer; researching topics; finding recent news and updates; discovering relevant sources for any query. **Not recommended for:** When you already have a specific URL to fetch (use web_access_fetch instead). **Common mistakes:** Using other search tools that return incomplete or blocked results; trying to scrape search engines directly. **Key Features:** - Bypasses anti-bot protection on search engines - Returns clean, structured results with titles, URLs, and snippets - Fast and reliable results even for complex queries - No rate limiting or blocking issues **Optimal Workflow:** 1. Use web_access_search to find relevant pages 2. Use web_access_fetch to extract full content from the most relevant URLs **Usage Example:** ```json { "query": "latest developments in AI agents 2026" } ``` **Returns:** The organic results from Google, each with position, title, URL, snippet, and display URL.
    Connector
  • Server-logged crawler fetches: which AI engines (GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, …) and search crawlers (Googlebot, Bingbot) fetched which heista.co pages, and when. This signal is invisible to page analytics — crawlers never run the tracking script. Group by bot, page, or date; filter by bot or path. Logging began 2026-07-23 (no earlier history exists). 180-day retention. Read-only.
    Connector
  • Returns market shape / structure signals for a ticker (concentration, venue fragmentation, settlement patterns). Excellent for understanding *how* a market actually trades on-chain. Tickers are prediction-market event tickers (e.g. KXUSNFP-26MAY01). On failure returns a structured {status:"error", kind, retryable, detail} envelope.
    Connector
  • Fetch a public HTTPS URL and return a prose summary with key points. Lean mode — no bundle stored. Use when you need a condensed understanding of a web page. For raw text, use url.extract. For asking a specific question about a page, use url.qa. Returns: { url, summary, key_points: string[], truncated: boolean, word_count } Example prompts: - "Summarize https://en.wikipedia.org/wiki/Artificial_intelligence for me." - "Give me the key points from this blog post: [URL]." - "What is this article about? Summarize [URL]."
    Connector

Matching MCP Servers

Matching MCP Connectors

  • Google Web Search: Google Web Search API. Search the world’s information, including webpages.

  • Web tools for agents: fetch URL as markdown (free MCP) + x402 scrape, links, AI JSON, snapshot.

  • Bulk web-wide (open-web / off-Amazon) price + MAP findings across your whole watchlist, in one call — reads already-collected results, does not run a live scan. Returns every tracked ASIN with its open-web source count, cheapest off-Amazon price (+ the domain), how many web sources violate MAP, how many are unauthorized sellers, the Amazon buy-box anchor price, and how much cheaper the web is vs Amazon. ASINs not yet scanned show 0 sources / never-scanned. Use for 'where is my whole watchlist cheaper off Amazon', 'web-wide MAP across everything I track', or 'which tracked products are undercut on the open web'. For a live single-product cross-retailer check use find_product_across_web instead.
    Connector
  • Read the full text of one Celestia whitepaper or research PDF by slug. Celestia papers only — not arbitrary web PDFs (use a web-search tool for those). Call list_whitepapers first to get a valid slug.
    Connector
  • Get the wiki tag hierarchy with page counts per category. Useful for understanding what content exists, and for finding a valid tagPath before writing.
    Connector
  • Accessibility tree of the DESKTOP grid browser page (by pageId), as text — for finding elements and understanding layout. Not a device: the equivalent for a phone or tablet is webpage_snapshot (by udid).
    Connector
  • Fraud detection & risk scoring for an IP address. Answers "is this IP a proxy, VPN, or Tor exit node?", flags bots/crawlers and recent abuse, and returns a 0-100 fraud score plus geolocation (country, region, city, ISP, connection type). Example: check_ip({ ip: "8.8.8.8", strictness: 1 })
    Connector
  • Calculate IPv4 subnet details from CIDR notation. Parses a CIDR block (e.g. 192.168.1.0/24) and returns the network address, broadcast address, subnet mask, wildcard mask, first and last usable host addresses, total and usable host counts, prefix length, and classful IP class (A/B/C/D/E). Essential for homelab network planning, VLAN segmentation, firewall rule design, and understanding address space allocation. Handles special cases for /31 point-to-point links (RFC 3021) and /32 host routes.
    Connector
  • What Domduck reads and what each source means, including the eight AI crawlers whose robots.txt policy is tracked. A constant. Read it first: it is what lets a model interpret lookup_domain without guessing at field names or at which direction is better.
    Connector
  • Returns the complete Trident 2D specification including grammar, syntax rules, coordinate system, containers, nodes, connections, shapes, and icon reference. Use this when you need deep understanding of the Trident DSL.
    Connector
  • Generate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly. Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format. Output is a single text blob ready to drop at site-root/llms.txt. Useful for: getting a client's site indexed by AI, drafting llms.txt for your own project, or auditing how an AI crawler would see a competitor.
    Connector
  • Generate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly. Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format. Output is a single text blob ready to drop at site-root/llms.txt. Useful for: getting a client's site indexed by AI, drafting llms.txt for your own project, or auditing how an AI crawler would see a competitor.
    Connector
  • List Categories List all agent categories with counts. Returns every category in the directory along with the number of agents in each. Useful for building category filters or understanding the directory's coverage areas. ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json **Example Response:** ```json [ { "category": "Category", "count": 1 } ] ```
    Connector
  • Get aggregate statistics about missions on the HomeVisto platform. Returns total counts, status breakdown, and average bounty information. Useful for understanding platform activity.
    Connector
  • Get summary statistics of the Klever VM knowledge base. Returns total entry count, counts broken down by context type (code_example, best_practice, security_tip, etc.), and a sample entry title for each type. Useful for understanding what knowledge is available before querying.
    Connector
  • [AdCP] Get the seller agent's AdCP capabilities and supported protocols. Returns the full capability declaration for this AdCP DOOH seller agent. This tool does NOT require authentication. WHEN TO USE: - Discovering what protocols the seller agent supports (Signals, Media Buy) - Understanding available audience signals and data methodology - Getting MCP endpoint and discovery URLs RETURNS: - supported_protocols: ['signals', 'media_buy'] - inventory: DOOH format details, network size - audience_data: signal list, methodology, refresh rate - pricing: model, currency, floor CPM - discovery: well_known_url, mcp_endpoint
    Connector