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600,072 tools. Updated 2026-09-22 11:25

"Overview and Applications of Mixture of Experts in Machine Learning" matching MCP tools:

  • Get the complete overview of the Dataflowr Deep Learning course: all sessions, modules, and their relationships, to provide students with a clear learning path.
    Apache 2.0
  • List all Docker Compose projects deployed on a virtual machine, including status, file paths, and container details. Get a clear overview of VPS deployments for monitoring and management.
    MIT
  • Get a machine-readable overview of FindAgent: what it is, how to connect, and public routes. Read-only, no auth.
    MIT

Matching MCP Servers

  • A
    license
    A
    quality
    C
    maintenance
    Provides MCP tools to search, retrieve, and answer questions from the public Open Finance Brasil Confluence documentation using BM25-based local indexing.
    4
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables querying normalized real-world asset data through MCP tools, including listing assets, retrieving asset details, comparing yields against SOFR, and checking eligibility by jurisdiction.
    MIT

Matching MCP Connectors

  • Retrieve detailed specifications of WindAI's machine learning model including architecture, training data, and accuracy metrics to understand prediction methodology.
    MIT
  • Retrieve a machine-readable index of Decixa platform endpoints, total API count, and usage guidance for AI agents to begin resolving tasks.
    MIT
  • Retrieve open job vacancies filtered by a category. Use a valid category ID such as programming or machine-learning-ai to get paginated listings, optionally including full job descriptions.
    MIT
  • Copies compiled .ex4/.ex5 files to Experts/ and .mqh headers to Include/ in MetaTrader, overwriting existing files.
    MIT
    Destructive
  • Find experts by describing your topic in plain language, then receive detailed profiles with contact information and AI-generated explanations of why each expert matches.
    MIT
  • Identify data points that deviate significantly from normal patterns in numerical columns using statistical and machine learning methods for data quality assessment and anomaly detection.
    Apache 2.0
  • Generate a Machine Learning Bill of Materials (MLBOM) for AI agents to list dependencies and comply with supply chain regulations. Supports CycloneDX and SPDX formats.
    Apache 2.0