fanqie-radar
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| FANQIE_INDEX_DATA_DIRS | No | Path(s) to your local fanqie rank snapshot data directory. Multiple directories can be separated by ';' (Windows) or ':' (Linux/macOS). If not set, the server uses built-in sample data. |
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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| fanqie_ranksA | 读取最新番茄榜单(按频道/榜型/品类)。返回书名、作者、在读、状态、章节数、book_id——不含简介全文与版权图。 |
| fanqie_findA | 跨全部快照按书名/作者模糊查找,返回 book_id 与书目信息。 |
| fanqie_trendA | 多日趋势差分:对比同一榜单最新两份快照,给出新上榜/掉榜/排名变化/在读增长。需 data/ 下存在至少两份同榜快照。 |
| fanqie_genre_heatB | 题材热度聚合(按在读总量排序),识别当前吸量赛道。 |
| fanqie_imitation_scoreA | 【核心】仿写选书六维评分(完结度/体量适配/单本热度/题材吸量/套路密度/金手指清晰 + 稳定性/跨榜/巅峰加成)。也可切男频连载母本评分。用于在读爆款里筛出'最适合仿写'的书,并给出每本的分数拆解。 |
| fanqie_hotwordsB | 书名热词频次统计(基于套路词表),快速看当前书名流行词。 |
| fanqie_statsA | 数据概览:快照数量、书目总数、book_id 覆盖率、被探测到的数据目录。 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 7 tools
Each tool targets a distinct analytical concern: raw rankings, lookup, trend diff, genre aggregation, imitation scoring, keyword frequency, and data stats. Even the two heat-related tools are clearly separated by dimension: genre read volume vs. title-word frequency.
All tool names share the fanqie_ prefix, use lowercase snake_case, and combine the server domain with a descriptive noun or verb. The naming pattern is predictable and makes the set feel uniform.
Seven tools is a well-scoped size for a domain-specific ranking-analysis server. Each tool has a clear purpose and none feel redundant or ornamental.
The core analysis workflow—read rankings, search books, compare trends, assess genre heat, and score imitation candidates—is fully covered. The main gap is the absence of an explicit snapshot-capture or refresh tool to ensure trend data is available, though this may be handled externally or by the fetch path.