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"Roadmap for Creating AI-Driven Workflows for Literature Data Management" matching MCP tools:

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  • Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.

  • Search for local businesses worldwide. Structured data optimized for AI agents. • Search Millions of businesses over 49 countries (Europe, Northamerica, Southamerica, Asia, Oceania) • Quality & demand scoring for every business • Ranking based on real user click-through data

  • Create versioned data assets from S3, GCP, computation results, or combined sources for computational workflows in Code Ocean. Supports internal storage or external references without copying.
    MIT
  • Retrieve all configured suppression rules for your tenant to check for duplicates or near-overlaps before creating a new rule, ensuring efficient detection rule management.
    Apache 2.0
  • Retrieve a list of your published AI workflows (glifs) with run counts and creation dates to review and manage your custom agents.
    MIT
  • Search for AI workflows by name or keyword to find image generators, text processors, and other tools hosted on Glif.
    MIT
  • Search academic papers and preprints on arXiv to find research papers, scientific studies, and technical literature across fields like AI, physics, and mathematics.
    Apache 2.0
  • Search biomedical literature from PubMed/MEDLINE database to find relevant research articles, reviews, and publications using NCBI E-utilities API.
    MIT
  • Convert Lorenz coefficient to Dykstra-Parsons beta parameter for reservoir heterogeneity quantification. Enables comparison of reservoirs using different metrics and conversion of literature data between these common measures.
    GPL 3.0
  • Discover all test identifiers on the page, grouped by attribute type. Enables reliable element selection for test automation workflows.
    MIT