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
# 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）
npx -y @cloudbase/mcp-inspector
# Transport = STDIO, Command = uvx, Args = research-radar-mcp
开发
uv sync
uv run pytest # 单元测试（mock arXiv / Spark，无需网络）
uv run ruff check .
License
MIT
1 maintainer
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