We built an MCP server that enables data analysis and natural-language Q&A using Hy3.#121
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262352 wants to merge 5 commits into
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We built an MCP server that enables data analysis and natural-language Q&A using Hy3.#121262352 wants to merge 5 commits into
262352 wants to merge 5 commits into
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Update README files to include dataset preparation instructions and clarify key parameters for Hy3 reinforcement learning training. Enhance README files with acknowledgements for support from Tencent Hunyuan team and relevant communities. Fix typo in README by changing "Posttraining" to "Post-training" for consistency and clarity. Fix RL Post-training TOC anchor in README
docs: add RL post-training guide
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This MCP server exposes four tools for data analysis:
list_data_filesto discover all supported files (CSV, JSON, or Excel) in the workspace;stats_summaryto generate a detailed statistical report covering shape, missing values, numeric quantiles, and categorical frequencies;plot_chartto create line, bar, scatter, or histogram charts and save them as PNG images; andask_data, the core Hy3‑powered tool, which accepts natural‑language questions and returns insightful answers grounded in the data. Each tool is designed with clear parameters and returns human‑readable results, making data exploration effortless through conversation.