The MCP tool directory.

Find all NGSS standards in a specific science domain (Physical Science, Life Science, or Earth and Space Science)

Find all NGSS standards using a specific Science and Engineering Practice (SEP). Examples: "Developing and Using Models", "Analyzing and Interpreting Data", "Planning and Carrying Out Investigations"

Search public Naver Cafe (community forum) posts.

Search public Naver Cafe (community forum) posts.

通过查询字符串搜索卡牌，支持分页和排序。 **查询语法示例:** - `t:creature c:r` (红色生物) - `pow>=5 or mv<2` (力量大于等于5或法术力值小于2) - `o:"draw a card" -c:u` (包含"抓一张牌"的非蓝色牌) - `(t:instant or t:sorcery) mv<=3` (3费或以下的瞬间或法术) **分页参数:** - `page`: 页码 (整数, 默认 1) - `page_size`: 每页数量 (整数, 默认 20, 最大 100) **排序参数:** - `order`: 按字段排序，逗号分隔。前缀 `-` 表示降序 (例如: `name`, `-mv`, `name,-rarity`) 默认排序: `name` **其他参数:** - `unique`: 去重方式 (id, oracle_id, illustration_id) - `priority_chinese`: 是否优先显示中文卡牌

Search across the Cerebrium knowledge base to find relevant information, code examples, API references, and guides. Use this tool when you need to answer questions about Cerebrium, find specific documentation, understand how features work, or locate implementation details. The search returns contextual content with titles and direct links to the documentation pages. If you need the full content of a specific page, use the query_docs_filesystem tool to `head` or `cat` the page path (append `.mdx` to the path returned from search — e.g. `head -200 /api-reference/create-customer.mdx`).

Search across the Cerebrium knowledge base to find relevant information, code examples, API references, and guides. Use this tool when you need to answer questions about Cerebrium, find specific documentation, understand how features work, or locate implementation details. The search returns contextual content with titles and direct links to the documentation pages. If you need the full content of a specific page, use the query_docs_filesystem tool to `head` or `cat` the page path (append `.mdx` to the path returned from search — e.g. `head -200 /api-reference/create-customer.mdx`).

Search across the Cerebrium knowledge base to find relevant information, code examples, API references, and guides. Use this tool when you need to answer questions about Cerebrium, find specific documentation, understand how features work, or locate implementation details. The search returns contextual content with titles and direct links to the documentation pages. If you need the full content of a specific page, use the query_docs_filesystem tool to `head` or `cat` the page path (append `.mdx` to the path returned from search — e.g. `head -200 /api-reference/create-customer.mdx`).

Search across the Cerebrium knowledge base to find relevant information, code examples, API references, and guides. Use this tool when you need to answer questions about Cerebrium, find specific documentation, understand how features work, or locate implementation details. The search returns contextual content with titles and direct links to the documentation pages. If you need the full content of a specific page, use the query_docs_filesystem tool to `head` or `cat` the page path (append `.mdx` to the path returned from search — e.g. `head -200 /api-reference/create-customer.mdx`).

Fast and precise code search across ALL GitHub repositories using GitHub's native search engine. Best for finding exact symbols, functions, classes, or specific code patterns.

Search the codebase for patterns. Args: query: Search query (e.g., 'async def', 'TODO') limit: Maximum number of results (default: 50) path_glob: Filter by path pattern (e.g., '**/*.py') collection: Collection path (e.g., 'examples/smol_example/codex.sift') Returns: Search results with file:line citations

Search Reddit comments by subreddit and/or author, or fetch specific comments by id. Optional q= applies an exact-phrase (plural-flex) filter, but ONLY over the single page this call fetches (limit, default 25, max 100) — it is not a search across the whole after/before window. A page with zero q= matches does NOT mean no matches exist in your date range: check has_more/cursor in the response and keep calling with the returned cursor as your next after (sort=asc) or before (sort=desc) until has_more is false or you have enough. Comments are higher volume than posts — for an active subreddit, one page can span just minutes, so scanning several days for a specific phrase often takes many calls (dozens, for a busy subreddit). Each page costs 1 credit whether it matched or not — narrow subreddit/author/date range first if you want to control cost. If ids= includes even one invalid/malformed id, the whole call returns an 'invalid request' error (refunded, not charged) rather than silently skipping the bad id or claiming a transient outage — verify ids came from a real search result first. 1 credit per call.

쿠팡에서 상품을 검색합니다. Args: keyword (str): 검색할 키워드 (예: "에어팟", "맥북프로") limit (int): 가져올 결과 개수 (기본 5개, 최대 100개) Returns: 상품 목록 (이름, 가격, 구매 링크 포함)

Search academic papers from CrossRef database. CrossRef is a scholarly infrastructure organization that provides persistent identifiers (DOIs) for scholarly content and metadata. It's one of the largest citation databases covering millions of academic papers, journals, books, and other scholarly content. Args: query: Search query string (e.g., 'machine learning', 'climate change'). max_results: Maximum number of papers to return (default: 10, max: 1000). **kwargs: Additional search parameters: - filter: CrossRef filter string (e.g., 'has-full-text:true,from-pub-date:2020') - sort: Sort field ('relevance', 'published', 'updated', 'deposited', etc.) - order: Sort order ('asc' or 'desc') Returns: List of paper metadata in dictionary format. Examples: # Basic search search_crossref("deep learning", 20) # Search with filters search_crossref("climate change", 10, filter="from-pub-date:2020,has-full-text:true") # Search sorted by publication date search_crossref("neural networks", 15, sort="published", order="desc")

Search the full Wraps documentation (CLI, TypeScript SDKs, infrastructure, guides) and return the matching sections as markdown. Use this first for any 'how do I ... with Wraps' question.

Search the Supabase documentation using GraphQL. Must be a valid GraphQL query. You should default to calling this even if you think you already know the answer, since the documentation is always being updated. Below is the GraphQL schema for this tool: schema{query:RootQueryType}type Guide implements SearchResult{title:String href:String content:String subsections:SubsectionCollection}interface SearchResult{title:String href:String content:String}type SubsectionCollection{edges:[SubsectionEdge!]! nodes:[Subsection!]! totalCount:Int!}type SubsectionEdge{node:Subsection!}type Subsection{title:String href:String content:String}type CLICommandReference implements SearchResult{title:String href:String content:String}type ManagementApiReference implements SearchResult{title:String href:String content:String}type ClientLibraryFunctionReference implements SearchResult{title:String href:String content:String language:Language! methodName:String}enum Language{JAVASCRIPT SWIFT DART CSHARP KOTLIN PYTHON}type TroubleshootingGuide implements SearchResult{title:String href:String content:String}type RootQueryType{schema:String! searchDocs(query:String!,limit:Int):SearchResultCollection error(code:String!,service:Service!):Error errors(first:Int after:String last:Int before:String service:Service code:String):ErrorCollection}type SearchResultCollection{edges:[SearchResultEdge!]! nodes:[SearchResult!]! totalCount:Int!}type SearchResultEdge{node:SearchResult!}type Error{code:String! service:Service! httpStatusCode:Int message:String}enum Service{AUTH REALTIME STORAGE}type ErrorCollection{edges:[ErrorEdge!]! nodes:[Error!]! pageInfo:PageInfo! totalCount:Int!}type ErrorEdge{node:Error! cursor:String!}type PageInfo{hasNextPage:Boolean! hasPreviousPage:Boolean! startCursor:String endCursor:String}

Advanced Gmail search using Gmail search operators. Supports complex queries like "from:[email protected] has:attachment after:2023/01/01"

Search Naver's encyclopedia entries (지식백과).

Search Naver's encyclopedia entries (지식백과).

Search Polymarket events. Events group related markets together (e.g., 'Presidential Election 2024' contains multiple markets). Great for discovering market clusters.

$0.00 free search of bounded public StackBench benchmark and failure evidence; use this for evidence-only requests.

Search GitHub repositories by keyword to discover code, projects, and libraries. Returns matching repositories with star count, description, language, and URL. Use for finding libraries, examples, or competitive projects in specific domains.

Search Google Scholar for computer science research papers, citations, and academic publications. Returns paper title, authors, publication details, citation count, and link to paper. Use for finding research on CS topics, reviewing state-of-the-art, or citation tracking.

Search academic papers from Google Scholar. 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 academic papers from IACR ePrint Archive. Args: query: Search query string (e.g., 'cryptography', 'secret sharing'). max_results: Maximum number of papers to return (default: 10). fetch_details: Whether to fetch detailed information for each paper (default: True). Returns: List of paper metadata in dictionary format.

Image search across Naver's image index. Returns thumbnail and full-size image URLs.

Image search across Naver's image index. Returns thumbnail and full-size image URLs.

Search for issues in GitHub repositories using issues search syntax already scoped to is:issue

Search Naver's Knowledge iN community Q&A archive.

Search Naver's Knowledge iN community Q&A archive.