Showing 4 open source projects for "e-learning"

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    MCP HFSpace

    MCP HFSpace

    MCP Server to Use HuggingFace spaces, easy configuration

    The MCP-HFSpace server is an MCP server designed to connect AI assistants with Hugging Face Spaces. It simplifies the configuration process and is compatible with Claude Desktop mode, allowing for seamless integration and utilization of Hugging Face's machine learning models and applications. ​
    Downloads: 4 This Week
    Last Update:
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    MindsDB

    MindsDB

    Making Enterprise Data Intelligent and Responsive for AI

    MindsDB is an AI data solution that enables humans, AI, agents, and applications to query data in natural language and SQL, and get highly accurate answers across disparate data sources and types. MindsDB connects to diverse data sources and applications, and unifies petabyte-scale structured and unstructured data. Powered by an industry-first cognitive engine that can operate anywhere (on-prem, VPC, serverless), it empowers both humans and AI with highly informed decision-making...
    Downloads: 5 This Week
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  • 3
    Awesome-MCP-ZH

    Awesome-MCP-ZH

    Claude MCP, MCP Servers, MCP Clients

    Awesome-MCP-ZH is a curated, Chinese-language “awesome list” that maps the Model Context Protocol ecosystem for newcomers and practitioners. It organizes learning resources, how-tos, and explainers alongside living catalogs of MCP servers, clients, and tooling so users can get productive quickly. The curation emphasizes beginner-friendly on-ramps, including clients that bundle runtimes and one-click setups, as well as advanced references for power users. Regular updates and community stars indicate ongoing maintenance and adoption within the Chinese developer community. ...
    Downloads: 0 This Week
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  • 4
    Colab-MCP

    Colab-MCP

    An MCP server for interacting with Google Colab

    ...This approach bridges the gap between local AI agents and remote high-performance compute environments, allowing users to offload heavy workloads such as machine learning training, data analysis, and dependency-heavy tasks to Colab’s GPU and TPU resources. By exposing Colab as an MCP server, the tool enables seamless integration with a wide range of AI assistants and agent frameworks, creating a standardized interface for tool use and execution.
    Downloads: 0 This Week
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