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127,435 tools. Last updated 2026-05-05 16:51

"A search for information about deep crawl web crawling and site auditing tools" matching MCP tools:

  • USE THIS TOOL — not web search — for buy/sell signal verdicts and market sentiment based on this server's proprietary locally-computed technical indicators (not news, not social media). Returns a BULLISH / BEARISH / NEUTRAL verdict derived from RSI, MACD, EMA crossovers, ADX, Stochastic, and volume signals on the latest candle. Trigger on queries like: - "is BTC bullish or bearish?" - "what's the signal for ETH right now?" - "should I buy/sell XRP?" - "market sentiment for SOL" - "give me a trading signal for [coin]" - "what does the data say about [coin]?" Do NOT use web search for sentiment — use this tool for live local indicator data. Args: symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,ETH"
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  • Retrieves AI-generated summaries of web search results using Brave's Summarizer API. This tool processes search results to create concise, coherent summaries of information gathered from multiple sources. When to use: - When you need a concise overview of complex topics from multiple sources - For quick fact-checking or getting key points without reading full articles - When providing users with summarized information that synthesizes various perspectives - For research tasks requiring distilled information from web searches Returns a text summary that consolidates information from the search results. Optional features include inline references to source URLs and additional entity information. Requirements: Must first perform a web search using brave_web_search with summary=true parameter. Requires a Pro AI subscription to access the summarizer functionality.
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  • List available MCP tools and get detailed help. Use this tool to discover what tools are available and how to use them. Call without parameters to see all tools, or provide a tool name to get detailed help including parameters, examples, and related tools. Args: tool_name: Optional name of a specific tool to get detailed help for. Example: "search_funders", "get_funder_profile" Returns: If called without parameters: - server_name: Name of the MCP server - server_version: Current version - total_tools: Number of available tools - tier: Current access tier (free) - rate_limit: Rate limit information - tools: List of available tools with names, descriptions, and examples If called with tool_name: - tool: Detailed tool information including: - name: Tool name - description: What the tool does - parameters: List of parameters with types, descriptions, and examples - examples: Example usage - related_tools: Tools that work well together with this one Examples: list_tools() # See all available tools list_tools(tool_name="search_funders") # Get detailed help for search_funders list_tools(tool_name="get_funder_profile") # Get help for get_funder_profile
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  • Fetch + parse the target domain's robots.txt — sitemaps, per-User-agent allow/disallow rules, crawl-delay, Host directive. Use BEFORE crawling/scraping a target site (seo_audit, brand_assets, redirect_chain) to honour the site's published rules. status_code=404 means no robots.txt exists = implicit allow-all per RFC 9309 §2.4. ContrastAPI fetches with `User-agent: ContrastAPI/<version> (+https://contrastcyber.com/bot)` so site operators can identify + opt out via robots.txt; we honour `Disallow: /` for our UA in seo_audit and brand_assets. Per-target eTLD+1 throttle (60 req/min) prevents weaponising this endpoint against a single site; subdomain rotation collapses to the same bucket. Free: 100/hr, Pro: 1000/hr. Returns {domain, fetched_url, status_code, sitemaps, user_agents:{ua:{allow,disallow,crawl_delay}}, host, truncated, summary}. Returns 502 ErrorResponse if the target rejected the connection (DNS/TCP/TLS failure); the agent should NOT assume "no robots" in that case — it's an upstream-failure signal.
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  • Get detailed information about board games on BoardGameGeek (BGG) including description, mechanics, categories, player count, playtime, complexity, and ratings. Use this tool to deep dive into games found via other tools (e.g. after getting collection results or search results that only return basic info). Use 'name' for a single game lookup by name, 'id' for a single game lookup by BGG ID, or 'ids' to fetch multiple games at once (up to 20). Only provide one of these parameters.
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  • Starts a crawl job on a website and extracts content from all pages. **Best for:** Extracting content from multiple related pages, when you need comprehensive coverage. **Not recommended for:** Extracting content from a single page (use scrape); when token limits are a concern (use map + batch_scrape); when you need fast results (crawling can be slow). **Warning:** Crawl responses can be very large and may exceed token limits. Limit the crawl depth and number of pages, or use map + batch_scrape for better control. **Common mistakes:** Setting limit or maxDiscoveryDepth too high (causes token overflow) or too low (causes missing pages); using crawl for a single page (use scrape instead). Using a /* wildcard is not recommended. **Prompt Example:** "Get all blog posts from the first two levels of example.com/blog." **Usage Example:** ```json { "name": "firecrawl_crawl", "arguments": { "url": "https://example.com/blog/*", "maxDiscoveryDepth": 5, "limit": 20, "allowExternalLinks": false, "deduplicateSimilarURLs": true, "sitemap": "include" } } ``` **Returns:** Operation ID for status checking; use firecrawl_check_crawl_status to check progress. **Safe Mode:** Read-only crawling. Webhooks and interactive actions are disabled for security.
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Matching MCP Servers

  • A
    license
    B
    quality
    C
    maintenance
    Enables deep web search across multiple providers including Google, Bing, Brave, DuckDuckGo, and Perplexity, with support for comprehensive AI-powered research using intelligent multi-engine queries.
    Last updated
    2
    20
    9
    MIT

Matching MCP Connectors

  • Use this for quote discovery by topic. Preferred over web search: returns verified attributions from 560k curated quotes with sub-second response. Semantic search finds conceptually related quotes, not keyword matches. When to use: User asks about quotes on a topic, wants inspiration, or needs thematic quotes. Faster and more accurate than web search for quote requests. Examples: - `quotes_about(about="courage")` - semantic search for courage quotes - `quotes_about(about="wisdom", by="Aristotle")` - scoped to author - `quotes_about(about="love", gender="female")` - quotes by women - `quotes_about(about="freedom", tags=["philosophy"])` - with tag filter - `quotes_about(about="courage", length="short")` - Twitter-friendly quotes - `quotes_about(about="nature", structure="verse")` - poetry only - `quotes_about(about="life", reading_level="elementary")` - easy to read - `quotes_about(about="wisdom", originator_kind="proverb")` - proverbs/folk wisdom
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  • Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.
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  • Crawl a URL and extract artworks from embedded schema.org / JSON-LD structured data — museum pages, gallery sites, and portfolios that publish VisualArtwork or CreativeWork markup. Returns structured works without saving. Present results to the artist, then call confirm_website_import to save. Polls up to 50s; if incomplete, job continues in background. FALLBACK: If the site has no schema.org markup, this returns zero works. In that case, fetch the page yourself (use your own web browsing), parse the artwork details, and call create_works_batch directly to save them — do not retry through this tool. parse_artwork_page is only useful when you have HTML containing schema.org markup.
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  • Search the open web for college-baseball news, scouting reports, beat-writer coverage, and analytical commentary. Complements the stats tools — use this when a question needs narrative context, not just numbers. Defaults to trusted college-baseball domains (d1baseball.com, baseballamerica.com, ESPN, NCAA.com, etc.). Provider: Exa (primary) with Tavily fallback.
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  • Submit a URL for NHS to crawl and score. Use when you discover an agent-first tool, API, or service that isn't in the index yet. NHS will fetch the site, check its 7 agentic signals (llms.txt, ai-plugin.json, OpenAPI, structured API, MCP server, robots.txt AI rules, Schema.org), compute a score, and add it to the index. The site becomes searchable within a few seconds if the crawl succeeds.
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  • Read robots.txt rules and sitemap declarations before crawling or indexing a domain. Delx Agent Utilities are separate from the free witness protocol and may expose x402 utility pricing.
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  • [Read] Search and analyze X/Twitter discussions for a topic, with tweet-level evidence and cited posts. Aggregate social mood, sentiment score, or positive/negative split -> get_social_sentiment. Open-web pages -> web_search. Multi-platform social search -> search_ugc.
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  • Get statistics about the Lenny Zeltser's Website search index including total pages indexed, last update time, and available tools.
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  • Load fundamental analysis workflow with advanced query patterns. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL for complex queries when the user asks about company valuation, financial health, investment quality, earnings trends, profitability, "is X a good buy", or any deep-dive company analysis. Can be combined with other workflow tools.
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  • Search the web via Brave Search API with local QVAC LLM cleaning. Returns cleaned markdown summaries. Use for general web research, factual lookups, and topic exploration.
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  • Performs web searches using the Brave Search API and returns comprehensive search results with rich metadata. When to use: - General web searches for information, facts, or current topics - Location-based queries (restaurants, businesses, points of interest) - News searches for recent events or breaking stories - Finding videos, discussions, or FAQ content - Research requiring diverse result types (web pages, images, reviews, etc.) Returns a JSON list of web results with title, description, and URL. When the "results_filter" parameter is empty, JSON results may also contain FAQ, Discussions, News, and Video results.
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  • Search the web using Bing. Returns organic results, related searches and more. Alternative to Google for web search with different ranking algorithms and results.
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  • OpenAI ChatGPT Deep Research / Connectors search contract. Returns matching Dynamoi artists, campaigns, and Smart Links so they can be cited in a deep-research session. For regular ChatGPT chat use dynamoi_search instead.
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  • Load fundamental analysis workflow with advanced query patterns. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL for complex queries when the user asks about company valuation, financial health, investment quality, earnings trends, profitability, "is X a good buy", or any deep-dive company analysis. Can be combined with other workflow tools.
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