ScholarRadar MCP Server - paper search, scoring and Chinese digest tools for the iFLYTEK Astron Agent platform
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# research-radar-mcp (ScholarRadar MCP Server) 面向大学生的科研入门与文献追踪 MCP Server，为讯飞星辰（Astron）Agent 平台提供论文检索、相关性评分与中文导读卡片能力。逻辑移植自「科研雷达」后端，去除数据库 / Celery / Redis 依赖，可通过 `uvx` 独立运行。 ## 工具（stdio） | 工具 | 说明 | 依赖 | | --- | --- | --- | | `search_papers` | 按关键词检索近期 arXiv 论文 | 无状态（arXiv API） | | `get_paper_detail` | 获取单篇论文完整摘要与元数据 | 无状态（arXiv API） | | `score_papers` | 依据学生科研画像对论文批量打分 | 调用星火大模型 | | `generate_digest` | 生成中文导读卡片（创新点 / 方法要点 / 上手难度评级） | 调用星火大模型 | ## 环境变量 调用星火大模型的工具从环境变量读取凭据（由托管平台注入，不写入代码）： | 变量 | 说明 | 默认 | | --- | --- | --- | | `SPARK_API_KEY` | 星辰 MaaS API Key（`必填`） | — | | `SPARK_BASE_URL` | OpenAI 兼容端点 | `https://maas-api.cn-huabei-1.xf-yun.com/v2` | | `SPARK_MODEL` | 模型 ID | `xsparkx2` | ## 运行 ```bash # 直接运行（已发布到 PyPI 后） uvx research-radar-mcp # 本地开发 uv sync uv run research-radar-mcp ``` ## 本地调试（MCP Inspector） ```bash npx -y @cloudbase/mcp-inspector # Transport = STDIO, Command = uvx, Args = research-radar-mcp ``` ## 开发 ```bash uv sync uv run pytest # 单元测试（mock arXiv / Spark，无需网络） uv run ruff check . ``` ## License MIT
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