The MCP tool directory.

Capture a screenshot at iPad viewport (820×1180). By default captures viewport-only (not the full scrollable page). Set fullPage to true for full-page capture. Returns device name, dimensions, and public image URL.

Capture a screenshot image of a public web page or an inline HTML snippet, rendered in a real headless browser (JS, CSS, and web fonts execute). Returns a PNG/JPEG/WEBP image. Use this to visually preview a page, generate a thumbnail, or archive how a URL looked at a point in time.

Perform a search over: - "internal": Perform a semantic search over your entire Notion workspace and connected sources (Slack, Google Drive, Github, Jira, Microsoft Teams, Sharepoint, OneDrive, or Linear). - "users": Perform a search over the Notion users in the current workspace. You can use search when you need to find information which is not already available via other tools, and you don't know where it's located. If the user doesn't have access to Notion AI features, the search will automatically fall back to a workspace search that doesn't use AI or include connected sources. This will be indicated by the "type" field in the response being "workspace_search" instead of "ai_search". Do NOT use search to get information about a Database's integrations, views, or other components. If initial results do not contain all the information you need, you can try more specific queries. After obtaining internal search results, if the user asks for the full contents of a page or database, use the "fetch" tool. This tool only shows some details like a highlight and the URL and title of each search result. To find pages under a Notion database, use this tool and supply the database's URL as the data_source_url parameter. These look like "collection://f336d0bc-b841-465b-8045-024475c079dd". You can get this URL by using the "fetch" tool to view the database and copying the URL from the <data-source url="..."> block. Keep in mind that Notion-flavored Markdown has this concept of a hierarchy of <database> blocks that contain <data-source> blocks, but users aren't familiar with the Notion "Data Source" terminology or product. Prefer to refer to both of them as "databases" in your response to humans to avoid confusion. Examples of searches: 1. Search for information across the workspace: { "query": "quarterly revenue report", "query_type": "internal" } 2. Search within a specific page and its children: { "query": "meeting notes action items", "query_type": "internal", "page_url": "https://www.notion.so/workspace/Team-Hub-1234567890abcdef" } 3. Search within a database's pages: { "query": "design review feedback", "query_type": "internal", "data_source_url": "collection://f336d0bc-b841-465b-8045-024475c079dd" } 4. Search within a specific teamspace: { "query": "project updates", "query_type": "internal", "teamspace_id": "f336d0bc-b841-465b-8045-024475c079dd" } 5. Search for users: { "query": "[email protected]", "query_type": "user" } 6. Find users by partial name: { "query": "sarah", "query_type": "user" } Common use cases: - "What does the sales team require from the product team in the next quarter?" - "Find all meeting notes that mention the new pricing strategy" - "Which pages discuss the API migration project?" - "Find all team members with email addresses ending in @design.company.com" - "What are the latest updates on the mobile app redesign?"

Search the web using multiple engines (e.g., Baidu, Bing, DuckDuckGo, CSDN, Exa, Brave, Juejin(掘金)) with no API key required

Deep Research compatible search tool aggregating across sources.

Search for articles in Grokipedia with optional filtering and sorting.

Search YouTube for videos, channels, and playlists

Search for papers on arXiv using their API

Find a paper by closest title match

Search Tripadvisor for hotels, restaurants, attractions, and things to do. Returns name, rating, review count, location, and details link.

Run one search across every reachable mailbox (optionally limited to one domain) and get results tagged by mailbox. Same filters as search_messages; at least one filter required. Searches up to 15 mailboxes per call, in address order: when more are reachable the response names the ones it skipped and gives a nextOffset to pass back as offset.

Run one search across every reachable mailbox (optionally limited to one domain) and get results tagged by mailbox. Same filters as search_messages; at least one filter required. Searches up to 15 mailboxes per call, in address order: when more are reachable the response names the ones it skipped and gives a nextOffset to pass back as offset.

Search App Store apps by store, category and text query. Cost: 1 credit.

Search Replit Apps the user can edit (owned or shared with them). query is a BM25-style keyword search over app titles, best matches first; updatedAfter/updatedBefore bound the last-updated time; these combine. Prefer the default recency ordering: only set updatedAfter/updatedBefore when the user explicitly asks to filter by time, since date bounds exclude apps that would otherwise be listed. url resolves a Replit App URL directly to that app and ignores the other filters. With no filters, this returns the user's most recently updated apps. Pass a result's replId to update_app_using_prompt or ask_question to act on that app. <important>This tool is EXPERIMENTAL: prefer it for finding the user's apps, but if it errors or its results do not match what the user described, fall back to resolve_app_by_name (exact name) and list_apps (recent apps).</important>

Search arXiv for academic papers in computer science, machine learning, AI, physics, and mathematics. Returns paper titles, authors, abstracts, submission dates, and direct PDF download links. Use for researching algorithms, ML techniques, or emerging CS topics.

Search academic papers from arXiv. Args: query: Search query string (e.g., 'machine learning'). max_results: Maximum number of papers to return (default: 10). Returns: List of paper metadata in dictionary format.

Search for assets (images, files, resources) in WebSim projects. Perfect for 'Find assets about [topic]' or 'Search for [keyword] files' questions. Supports MIME type filtering.

Search for associate degree (önlisans) programs using LOCAL DATA with instant results, smart fuzzy matching, and bell curve sampling for large result sets

Search for bachelor's degree programs using LOCAL DATA with instant results, smart fuzzy matching, and bell curve sampling for large result sets

Search Better Auth documentation by keyword

Search Better Auth documentation by keyword

Search academic papers from bioRxiv. Args: query: Search query string (e.g., 'machine learning'). max_results: Maximum number of papers to return (default: 10). Returns: List of paper metadata in dictionary format.

Search Naver Blog by keyword. Returns post title, link, blogger name, and post date.

Search Naver Blog by keyword. Returns post title, link, blogger name, and post date.

Search Most Recommended Books' human-curated catalog by book title or author name.

Search Naver Book catalog by title, author, or ISBN.

Search Most Recommended Books' human-curated catalog by book title or author name.

Search Naver Book catalog by title, author, or ISBN.

Find all NGSS standards using a specific Crosscutting Concept (CCC). Examples: "Patterns", "Cause and Effect", "Systems and System Models", "Energy and Matter"

Find all NGSS standards using a specific Disciplinary Core Idea (DCI). Examples: "Definitions of Energy", "Interdependent Relationships in Ecosystems", "Weather and Climate"