SocialDataX 知乎 Zhihu MCP
Zhihu public hot-list, content, creator, comment, and reply tools.
What it can do
What data it sees
Do you need an account
An API key from the service settings is required
Zhihu public hot-list, content, creator, comment, and reply tools.
How to connect
How to connect SocialDataX 知乎 Zhihu MCP to Claude
The server address to paste into Claude settings:
https://mcp.socialdatax.com/zhihu/mcp
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect SocialDataX 知乎 Zhihu MCP to ChatGPT
The server address to paste into ChatGPT settings:
https://mcp.socialdatax.com/zhihu/mcp
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect SocialDataX 知乎 Zhihu MCP to Cursor
The server address to paste into Cursor settings:
https://mcp.socialdatax.com/zhihu/mcp
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (11)
Raw names from tools/list. Only developers need these.
| zhihu_get_hot_list | 读取知乎热榜,返回当前热榜问题标题、热度、回答数和问题链接。 |
| zhihu_search_content | 按搜索词搜索知乎公开内容。用户需要按搜索词查找内容时使用;已有回答页、专栏文章页或独立视频页链接且需要详情或评论时使用对应 URL 工具;已有用户主页链接时使用用户资料或文章列表工具;支持类型、排序、发布时间筛选与 page_token 翻页。 |
| zhihu_get_content_detail_by_url | 根据知乎回答页(包括带视频的回答)、专栏文章页或独立视频页链接读取详情。 |
| zhihu_get_user_info_by_profile_url | 根据知乎用户主页链接读取公开博主资料。 |
| zhihu_get_user_posted_articles_by_profile_url | 根据知乎用户主页链接读取该用户发布的文章列表。只返回文章,不返回回答、想法或视频;支持使用 page_token 继续翻页。 |
| zhihu_get_content_comments_by_url | 根据知乎回答页(包括带视频的回答)、专栏文章页或独立视频页链接读取一级评论。支持使用 sort_type 选择排序,并使用 page_token 继续翻页。 |
| zhihu_get_comment_replies_by_url | 根据知乎内容页链接和一级评论 ID 读取评论回复。用户已提供完整合法的 content_url 和一级评论 comment_id 时直接使用;已有 content_url 但缺少一级评论 comment_id 时,调用 zhihu_get_content_comments_by_url,复用同一 content_url,并使用一级评论的 items[*].comment_id;缺少内容定位信息时向用户索取;支持使用 page_token 继续翻页。 |
| zhihu_submit_video_speech_text_by_video_url | 根据知乎独立视频页或带视频回答页链接提交口播转文字任务;提交后最多等待 240 秒,未完成时返回 job_id 和下一步查询动作。 |
| zhihu_submit_video_speech_text_by_zvideo_id | 根据知乎独立视频的数字 zvideo_id 提交口播转文字任务;提交后最多等待 240 秒,未完成时返回 job_id 和下一步查询动作。 |
| zhihu_get_video_speech_text_job | 根据用户提供的有效 job_id,或 submit 工具返回的 job_id 查询知乎视频口播转文字任务;每次最多等待 240 秒,不触发重处理,也不要重复提交任务。 |
| socialdatax_get_points_balance | 查询当前 API Key 账户的 SocialDataX 积分余额、剩余积分或点数 / remaining points balance。需要充值时请访问 https://socialdatax.com/dashboard/billing。 |