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199,198 tools. Last updated 2026-06-13 15:13

"Information about web browsing" matching MCP tools:

  • Find Bluesky accounts by name or handle fragment. Returns ranked profiles with handle, DID, displayName, bio, and follower count. Use before bsky_get_profile or bsky_get_author_feed when you have a name but not a confirmed handle. Supports cursor-based pagination for browsing beyond the first page of results.
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  • <tool_description> Get detailed product information by ID from the Nexbid marketplace. Returns full product details including price, availability, description, and purchase link. </tool_description> <when_to_use> When you have a specific product UUID from a previous nexbid_search result. Do NOT use for browsing — use nexbid_search instead. </when_to_use> <combination_hints> Typically called after nexbid_search to get full details on a specific product. If user wants to buy → follow with nexbid_purchase. </combination_hints> <output_format> Full product details: name, description, price, currency, availability, brand, category, purchase link. </output_format>
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  • Get full details for a single broker (agent) by their profile slug. Call this when the user asks for more information about a specific broker. Use the slug from search_brokers results.
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  • Get full details for a single business (listing) by its slug. Call this when the user asks for more information about a specific business. Use the slug from search_businesses results.
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  • Returns structured information about what the Recursive platform includes: features, AI model details, supported integrations, and what's included at every tier. Use for systematic feature comparison.
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  • List of 24 top-level categories with i18n labels. USE WHEN: building a category picker, validating ?category= input. Stable enum (rarely changes). For higher-resolution browsing → quizbase_subcategories or quizbase_topics.
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  • Search the web and extract clean, readable text from webpages. Process multiple URLs at once to sp…

  • Create, edit, preview, publish, and manage web pages from MCP-capable AI clients.

  • Get full details for a specific product by SKU or title. Use when the user asks about a specific product by name (e.g. 'tell me about MIRA', 'show me the serum'). Do not use for browsing or recommendations — use search_products or skincare_recommend. Returns a widget card with the product details, image, price, and checkout button.
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  • List all topics/tags in the knowledge base with question counts. Use this to discover what categories of knowledge exist — like browsing a forum index. Returns tags sorted by popularity (most questions first). Example response: [{"tag": "docker", "count": 12}, {"tag": "pytorch", "count": 8}, ...]
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  • Start a patient session by providing their contact information. Sends a 6-digit verification code to the patient's email. Returns a session_id (NOT a token). The session_id is used with auth_verify_otp to prove email ownership and get a bearer token. The code is in the email subject line: 'Chia Health: Your code is XXXXXX'. If you have access to the patient's email (e.g. Gmail MCP), search for this subject. No authentication required. Call this when the patient is ready to proceed with their medical intake — after browsing medications and checking eligibility.
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  • Start a patient session by providing their contact information. Sends a 6-digit verification code to the patient's email. Returns a session_id (NOT a token). The session_id is used with auth_verify_otp to prove email ownership and get a bearer token. The code is in the email subject line: 'Chia Health: Your code is XXXXXX'. If you have access to the patient's email (e.g. Gmail MCP), search for this subject. No authentication required. Call this when the patient is ready to proceed with their medical intake — after browsing medications and checking eligibility.
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  • 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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  • Get full details for a specific product by SKU or title. Use when the user asks about a specific product by name (e.g. 'tell me about MIRA', 'show me the serum'). Do not use for browsing or recommendations — use search_products or skincare_recommend. Returns a widget card with the product details, image, price, and checkout button.
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  • Get full details for a single broker (agent) by their profile slug. Call this when the user asks for more information about a specific broker. Use the slug from search_brokers results.
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  • Get information about an NFT collection or a specific token within a collection. If token_id is provided, returns token-level details (owner, URI). If omitted, returns collection-level info (name, symbol, total supply).
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  • Get full details for a single business (listing) by its slug. Call this when the user asks for more information about a specific business. Use the slug from search_businesses results.
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  • IMPORTANT: Always use this tool FIRST before working with Vaadin. Returns a comprehensive primer document with current (2025+) information about modern Vaadin development. This addresses common AI misconceptions about Vaadin and provides up-to-date information about Java vs React development models, project structure, components, and best practices. Essential reading to avoid outdated assumptions. For legacy versions (7, 8, 14), returns guidance on version-specific resources.
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  • Get detailed information about a specific train connection including all intermediate stops, platforms, and occupancy. Use a trip ID from search_connections results.
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  • Extract structured information from web pages using LLM capabilities. Supports both cloud AI and self-hosted LLM extraction. **Best for:** Extracting specific structured data like prices, names, details from web pages. **Not recommended for:** When you need the full content of a page (use scrape); when you're not looking for specific structured data. **Arguments:** - urls: Array of URLs to extract information from - prompt: Custom prompt for the LLM extraction - schema: JSON schema for structured data extraction - allowExternalLinks: Allow extraction from external links - enableWebSearch: Enable web search for additional context - includeSubdomains: Include subdomains in extraction **Prompt Example:** "Extract the product name, price, and description from these product pages." **Usage Example:** ```json { "name": "firecrawl_extract", "arguments": { "urls": ["https://example.com/page1", "https://example.com/page2"], "prompt": "Extract product information including name, price, and description", "schema": { "type": "object", "properties": { "name": { "type": "string" }, "price": { "type": "number" }, "description": { "type": "string" } }, "required": ["name", "price"] }, "allowExternalLinks": false, "enableWebSearch": false, "includeSubdomains": false } } ``` **Returns:** Extracted structured data as defined by your schema.
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  • Retrieve detailed information about a Baselight user including their profile bio, website, and public datasets. Use this to understand who owns datasets you're interested in.
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