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127,233 tools. Last updated 2026-05-05 11:07

"Search for 'sequ' - possibly sequence-related queries or prefixes" matching MCP tools:

  • Perform targeted web searches for cricket-related information, retrieve relevant links with titles and snippets, and filter results by specific sites for focused queries.
    MIT
  • Search the Brave search engine to find relevant web links for research queries, enabling web data extraction through the LSD MCP Server.
    MIT
  • Searches for local businesses and places using Brave's Local Search API. Returns names, addresses, ratings, phone numbers, and hours. Ideal for queries like 'near me' or specific locations.

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  • Retrieve Google Trends data for search queries with geo targeting, date range, and category filters. Get interest over time, geo maps, and related topics or queries to inform keyword strategy, demand forecasting, and content planning.
    MIT
  • Search specific Turkish statutes' articles using keyword queries with Boolean operators or semantic AI search for natural language questions.
    MIT
  • Enumerate all known secret-validation providers (OpenAI, Stripe, GitHub, etc.) and their auto-detect prefixes. Use to discover the correct provider name for validate_secret or rotate_secret, or to verify custom provider registration.
  • Batch import design system variables into cache using prefixes for team libraries or keys for community libraries, enabling consistent variable access in Figma builds.
    MIT
  • Search OpenHive for existing solutions to errors, bugs, and configuration problems. Use short, generic queries like error names or symptoms.
    MIT
  • Display the full turn sequence for Warhammer 40K, Combat Patrol, or Kill Team, or track the current phase and upcoming steps.
    MIT
  • Generate a numeric sequence as JSON with configurable start, increment, and end values. Outputs an array of numbers for ranges or sequences.
    MIT
  • Search Tenzir documentation by keyword to find operators, functions, or concepts, and explore related content through cross-references for comprehensive understanding.
    Apache 2.0
  • Search documents using semantic understanding to find relevant content based on meaning rather than keywords. Understands natural language queries and returns ranked passages with source information.
    MIT
  • Process AntV-related queries by identifying, parsing, and structuring user requirements for visualization tasks. Extracts topics, detects intent, and prepares structured data for precise solutions.
    MIT
  • Discover related GraphQL operations, HTTP endpoints, Kafka topics, and frontend queries across microservices by entering a business term or endpoint name. Helps identify which APIs and operations support specific business features.
    MIT
  • Search WormBase for genes, proteins, phenotypes, strains, and other biological entities using natural language queries or specific IDs.
    MIT
  • Execute multiple arXiv academic paper searches simultaneously to gather comprehensive research coverage from diverse perspectives. Provide up to 5 different search queries to explore various research angles and methodologies efficiently.
    Apache 2.0