mcp-quiver
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PORT | No | Port for the HTTP server when using HTTP transport. Default is 8931 for hotcontent and 8932 for docx-comments. | 8931 |
| MCP_TRANSPORT | No | Transport mode: 'http' or 'stdio'. Default is 'http' for hotcontent and 'stdio' for docx-comments. | http |
| MCP_AUTH_TOKEN | No | Optional Bearer token to enable authentication for HTTP transport. When set, clients must include an Authorization: Bearer <token> header. Default is no authentication. |
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
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_wechat_articlesA | 查公众号爆款文章。三个数据源里唯一带全文正文的，最适合做选题对标和写作风格分析。 榜单：低粉爆款 / 10万阅读 / 1万阅读 / 原创榜。 返回每篇的标题、摘要、正文、阅读/点赞/在看/分享/评论、作者粉丝数、是否原创、原文链接。 数据为入库快照（非实时），通常滞后 1-2 天。 |
| search_xiaohongshu_notesA | 查小红书爆款笔记。有完整互动数据但没有笔记正文（接口不提供）。 榜单：点赞Top500 / 低粉爆款 / 7日飙升 / 单日飙升。 返回标题、话题标签、作者粉丝数、点赞/收藏/评论/分享、封面图。 两个已知限制，回答用户时要如实说明：
|
| search_hot_topicsA | 查全网实时热榜（85 个榜单），覆盖微博/知乎/微信/百度/B站/抖音/快手/贴吧/虎扑/36氪/GitHub 等。 这是话题级数据：只有标题、排名、热度值，没有点赞收藏等互动数。 回答"现在什么在火"用它；回答"哪条内容爆了、怎么爆的"要用另两个工具。 数据实时（不同于公众号/小红书的快照）。注意：本数据源不含小红书榜。 |
| list_hot_boardsA | 列出全网热榜里所有可用的榜单（平台名 + 榜单名 + 条目数），供 search_hot_topics 的 platform 参数使用。 当用户问"能查哪些网站/平台"，或你不确定某平台在不在覆盖范围内时，先调这个。 |
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 4 tools
Each tool has a clearly distinct role: listing available boards, querying real-time hot topics, searching WeChat articles, and searching Xiaohongshu notes. The descriptions explicitly separate topic-level data from content-level data, so an agent should not confuse them.
All tool names follow a consistent snake_case verb_object pattern: list_* for enumeration and search_* for content/topic lookup. Platform-specific tools are named uniformly as search_<platform>_<content_type>, making the set predictable.
Four tools is well-scoped for this server's purpose: one metadata/discovery tool, one cross-platform topic tool, and two platform-specific content tools. Each tool earns its place with no redundancy.
The tool surface covers the core hot-content workflow: discovering available boards, checking real-time topics, and retrieving detailed content from both WeChat and Xiaohongshu. Documented limitations are inherent to the data sources rather than missing tool capabilities, so there are no obvious dead ends.