MCP Tool Directory

List objects (files) in a Supabase storage bucket. Supports prefix filtering, pagination, and search.

List all Supabase projects in your account. Returns project name, ref, region, status, and database info. Requires SUPABASE_ACCESS_TOKEN.

List records from a Supabase table/view with PostgREST filtering, column selection, ordering, and pagination. Filter syntax: age=gt.18, status=eq.active, name=ilike.*john*, id=in.(1,2,3). Resource embedding (JOINs): select=*,orders(*)

List all secrets (environment variables) for a Supabase project. Returns secret names only (values are never exposed).

List all users in the Supabase Auth system. Returns paginated results with user details including email, metadata, and creation date.

Pause a Supabase project. Paused projects stop all services (database, auth, storage) and free up resources. Free tier projects auto-pause after inactivity.

Restore a paused Supabase project. Restarts all services including database, auth, and storage.

Execute a SQL query on a Supabase project database via the Management API. Supports SELECT, INSERT, UPDATE, DELETE, CREATE TABLE, and all SQL. Returns query results as JSON.

Update records in a Supabase table matching a filter. Filter is REQUIRED to prevent accidental full-table updates. Use return=representation to see what changed.

Update a user in Supabase Auth. Can change email, phone, password, metadata, or ban the user.

Upsert (insert or update on conflict) records in a Supabase table. Uses merge-duplicates by default. Specify on_conflict for non-primary-key columns.

Run a full 6-agent VerdictSwarm risk scan. Returns consensus score, risk level, and agent-level findings for safe trading decisions.

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 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 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.

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"

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"

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

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 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 Secureship API documentation. Use when you need to find endpoints for a specific task (e.g. 'create a shipment', 'get rates', 'address book'). Returns matching endpoints with method, path, summary, and tags. Follow up with GetEndpointDetail to get full parameter schemas. IMPORTANT: Secureship API uses the X-API-KEY header for authentication (NOT Bearer token). Pass your API key as: X-API-KEY: your-api-key

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

Search Google Scholar for academic papers and research articles. Supports filtering by author, publication year range, and returns structured results with titles, authors, abstracts, and URLs.