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  • 1
    MCP Server Chart

    MCP Server Chart

    A visualization mcp contains 25+ visual charts

    mcp-server-chart is a TypeScript Model Context Protocol (MCP) server that turns AntV’s visualization stack into agent-callable tools for automatic chart generation and lightweight data analysis. Out of the box it exposes more than 20–25 chart generators—covering staples like bar, line, area, histogram and pie, plus advanced visuals such as dual-axes, heatmaps, radar, flow and fishbone diagrams—so an AI client can request a chart and receive an image URL in return. The server can run over stdio for desktop IDEs or via SSE/“streamable” HTTP transport, making it easy to plug into MCP-capable clients and platforms (including Dify) without custom glue code. ...
    Downloads: 0 This Week
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  • 2
    firerpa LAMDA

    firerpa LAMDA

    The most powerful Android RPA agent framework

    ...Together with companion projects (e.g., a device hub), lamda is positioned as a next-generation mobile automation stack rather than a single tool. Its focus on remote control plus RPA primitives makes it useful for QA, operations, and large-scale device orchestration.
    Downloads: 1 This Week
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  • 3
    The Web MCP

    The Web MCP

    A powerful Model Context Protocol (MCP) server

    ...The README markets it as a “gateway” to the live web so assistants don’t fall back to stale training data. Bright Data also advertises a getting-started tier with a free monthly allotment, plus options for remote or self-hosted operation depending on governance needs. Ecosystem materials and examples show how it plugs into MCP-capable runtimes and agent frameworks. Overall, the project is aimed at making web intelligence a reliable building block for agent workflows.
    Downloads: 0 This Week
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  • 4
    UltraRAG

    UltraRAG

    Less Code, Lower Barrier, Faster Deployment

    ...It provides end-to-end recipes—from encoding and indexing corpora to deploying retrievers and LLMs—so users can reproduce baselines and iterate rapidly. The toolkit comes with built-in support for popular RAG datasets, large corpora, and canonical baselines, plus documentation that walks from “quick start” to debugging and case analysis. It encourages pipeline composition via configuration, enabling researchers to swap retrievers, rerankers, and generators without heavy refactoring. Community posts highlight its focus on reducing engineering overhead so more effort goes to experimental design. ...
    Downloads: 0 This Week
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    $300 Free Credits for Your Google Cloud Projects

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  • 5
    ArXiv MCP Server

    ArXiv MCP Server

    A Model Context Protocol server for searching and analyzing arXiv

    ...With simple tools like “search” and “fetch,” an agent can find papers, pull abstracts, and download PDFs for downstream summarization or analysis. The project includes packaging and CI to publish to PyPI, plus tests and linting for reliability. Issue threads show feature requests such as extracting embedded LaTeX and improving markdown conversion, reflecting active community use in research flows. It’s designed to be drop-in for MCP clients, giving them typed inputs/outputs and predictable errors around a well-known academic corpus. For developers building research copilots, it removes the glue work of wiring arXiv APIs into an agent toolchain.
    Downloads: 0 This Week
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  • 6
    Browser MCP

    Browser MCP

    Browser MCP is a Model Context Provider (MCP) server

    Browser MCP is an MCP server plus browser integration that lets AI apps automate the user’s real browser instead of launching a separate automation session. By adapting a Playwright-style approach to control the running browser profile, it reuses logged-in sessions and cookies, which reduces re-authentication friction and helps avoid some bot-detection heuristics.
    Downloads: 0 This Week
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