aigroup-paper-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| CACHE_TTL | No | Cache time-to-live in seconds | 3600 |
| LOG_LEVEL | No | Logging level (e.g., info, debug, warn, error) | info |
| CACHE_ENABLED | No | Enable caching of results (true/false) | true |
| MAX_SEARCH_LIMIT | No | Maximum number of search results returned | 100 |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": true
} |
| resources | {
"listChanged": true
} |
| completions | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_papersB | 跨多个学术平台搜索论文（arXiv、OpenAlex等）。支持多字段搜索、过滤和排序。 |
| fetch_paperB | 从指定平台根据ID获取论文的详细信息。返回完整的元数据。 |
| fetch_latestC | 从特定类别的平台获取最新论文。具有智能缓存和摘要模式功能。 |
| list_categoriesB | 列出一个或所有平台的可用类别/主题。 |
| advanced_searchB | 具有布尔运算符（AND、OR、NOT）、模糊匹配和精确匹配功能的高级搜索。 |
| trend_analysisB | 分析特定主题随时间的变化趋势，包括增长率、高峰期和关键词分析。 |
| manage_cacheB | 管理学术论文搜索的缓存系统，包括查看缓存内容、获取缓存项、清理缓存和获取统计信息。 |
| smart_cache_searchA | 基于语义相似度在缓存中查找相关文献数据，即使查询内容不完全相同也能找到相关结果。 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| literature_review | 为特定研究主题生成全面的文献综述 |
| research_gap_analysis | 分析特定研究领域中的研究差距和机会 |
| paper_comparison | 比较和分析多篇相关论文 |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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