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Glama
BrunonXU

Stride28 Search MCP

by BrunonXU

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
STRIDE28_XHS_HEADLESSNo小红书非登录工具默认有头,优先降低风控false
STRIDE28_ZHIHU_HEADLESSNo知乎默认无头true
STRIDE28_SEARCH_MCP_HOMENo数据目录~/.stride28-search-mcp
STRIDE28_RATE_LIMIT_SECONDSNo请求最小间隔(秒)5.0
STRIDE28_SEARCH_MCP_PROFILENo浏览器 profile 名;为空时走兼容模式,共享默认目录,不推荐
STRIDE28_SEARCH_MCP_HEADLESSNo兼容旧版本的全局 fallback,不再是主推荐配置true
STRIDE28_XHS_RISK_COOLDOWN_SECONDSNo小红书命中风控后的冷却时长(秒)900

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

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
login_xiaohongshuA

登录小红书账号。调用后会弹出浏览器窗口,需要用户使用小红书 App 手动扫码完成登录。扫码后耗时约 10-30 秒完成登录流程,总超时 5 分钟。登录成功后,后续搜索调用将使用新的登录态。

search_xiaohongshuA

搜索小红书笔记内容。返回标题、URL、作者、点赞数等信息。limit 建议 10-20 条。需要先登录(login_xiaohongshu),未登录时返回 login_required 错误。

get_note_detailA

获取小红书笔记的完整详情,包括正文、评论、图片、互动数据。需要提供 note_id 和 xsec_token(从搜索结果中获取)。需要先登录(login_xiaohongshu)。默认仅返回较少评论;如需更深评论翻页,请显式提高 max_comments。

reset_xiaohongshu_loginA

清空当前 profile 下的小红书浏览器状态目录,用于重新走首次登录流程。

search_zhihuA

搜索知乎内容(问答、专栏、视频)。当前需要先登录(login_zhihu),未登录时返回 login_required 错误。返回标题、URL、类型、赞数、作者等信息。

get_zhihu_questionA

获取知乎问题的详情和 top N 回答。当前需要先登录(login_zhihu)。需要提供 question_id(从搜索结果的 xsec_token 字段获取)。

login_zhihuA

登录知乎账号。调用后会弹出浏览器窗口,需要手动登录。登录成功后,search_zhihu 和 get_zhihu_question 都会复用登录态。

reset_zhihu_loginA

清空当前 profile 下的知乎浏览器状态目录,用于重新走首次登录流程。

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.3/5.0

Scored across 8 tools

Disambiguation5/5

Each tool targets a specific platform and action, with no overlap. The tools are clearly separated by platform (xiaohongshu vs zhihu) and operation (search, get detail, login, reset), making it easy for an agent to select the correct tool.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern using underscore_case. The naming is systematic per platform: search_<platform>, get_<resource>, login_<platform>, reset_<platform>_login. Minor variation (get_note_detail vs get_zhihu_question) does not cause confusion.

Tool Count5/5

With 8 tools covering two platforms, the count is well-scoped. Each tool serves a distinct purpose, and there are no redundant or missing essential operations. The tool set is neither too sparse nor too heavy.

Completeness5/5

The set covers the full lifecycle for searching and retrieving content from both platforms: login, search, get detail, and reset login. There are no obvious gaps for the intended use case of searching and reading content. The tools work together seamlessly.

Maintenance

ActivityInactive
ResponsivenessNo issues