
ProLevelMax
com.prolevelmax由 prolevelmax.com 发布官方发布者v1.5.2更新于 Nov 4, 2026
Social media data MCP server for AI: Reddit, TikTok, Instagram, X, YouTube, Xiaohongshu, Douyin
概览
远程 MCP 服务器,让 AI 助手获取 Reddit、TikTok、Instagram、X、YouTube 等平台的实时公开社交媒体数据,包括帖子、评论、主页和趋势。
- 可以做什么
- 用中英文为需求查找可用的数据源,并查看数据源的输入字段、价格与报价
- 运行数据源采集帖子、评论、主页或互动数据,并查看运行状态与分页结果
- 查询预付余额,并将结果下载为 CSV、XLSX 或 JSON
- 创建、列出和删除每日或每周定时运行任务
- 适用场景
- 适合需要当前公开社交媒体或网页数据的场景,例如抓取 Reddit 整帖评论、分析 TikTok 或小红书评论、品牌舆情监测,而不是依赖静态知识。适用于可接受按次付费的研究与分析任务。
- 运行要求
- 远程 Streamable HTTP 端点,无需本地安装。认证方式为 OAuth 2.1 登录,或通过 Authorization Bearer 令牌使用 API 密钥(例如 Codex 中的 PLM_API_KEY 环境变量)。需要 ProLevelMax 账户和预付余额;新用户验证邮箱后可获赠额度。
安装
在 SourceWeft 中
- 打开 控制台中的 ProLevelMax,将其添加到工作区。
- 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
- 为需要使用其工具的对话启用该服务。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
交给智能体安装
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/com.prolevelmax%2Fprolevelmax/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。
{
"mcpServers": {
"prolevelmax": {
"type": "http",
"url": "https://prolevelmax.com/mcp"
}
}
}README
ProLevelMax MCP
An MCP server for Reddit, TikTok, Instagram, X, YouTube, Xiaohongshu (RedNote) and Douyin data. ProLevelMax gives Claude, ChatGPT, Cursor and other AI agents real-time public posts, full comment threads, profiles and trends from 157 platforms, through a remote MCP server, an Agent Skill or a REST API. Pay per use, no subscription.
What it is
ProLevelMax gives AI agents and developers live public data from social media and the web: posts, comments, profiles and engagement data from 157 platforms, including Reddit, TikTok, Instagram, X, YouTube, Xiaohongshu and Douyin. You connect it once and your AI can search for a data source, get a price quote, run it and read the results.
There are three ways in:
- Remote MCP server at
https://prolevelmax.com/mcp(Streamable HTTP, OAuth 2.1 or API key) - Agent Skill at
https://prolevelmax.com/SKILL.mdfor AI tools that can run commands or send HTTP requests - REST API at
https://prolevelmax.com/v1(OpenAPI 3.1)
This repository holds documentation and example client configs only. It contains no server source code. The server is hosted by ProLevelMax; there is nothing to install or run locally.
Quickstart (Skill)
-
Sign in at prolevelmax.com and create an API key in the dashboard under API keys. Keys look like
sk_procli_...and are shown once. -
Send this line to your AI (Claude, Claude Code, Codex, Cursor and others) together with the key:
-
Ask for the data you need. The AI finds a source, tells you the price and runs it.
If your AI can run commands, it saves the key as an MCP server config so you do not paste it again. ChatGPT and Claude.ai connect over MCP with OAuth instead and need no key (see below).
Supported clients
Claude Code
With an API key:
Without a key (OAuth): add the server without the header, then run /mcp inside Claude Code to sign in.
Codex
Pass the API key through an environment variable:
Cursor
One-click install with OAuth sign-in (no key): use Install in Cursor on the docs page, confirm in Cursor, then sign in to ProLevelMax and click Allow.
Manual setup with an API key: Settings → MCP → Add New MCP Server, or put this in mcp.json (see mcp.json):
VS Code
One-click install with OAuth sign-in (no key): use Install in VS Code on the docs page, confirm in VS Code, then sign in to ProLevelMax and click Allow.
Manual setup: add this to .vscode/mcp.json (see .vscode/mcp.json). VS Code starts the OAuth sign-in when the server first connects.
Claude.ai and Claude Desktop
Settings → Connectors → Add custom connector, then paste:
Sign in to ProLevelMax and click Allow. No API key needed.
ChatGPT (web)
ChatGPT cannot call the REST API with a key, so add ProLevelMax as an app once:
- Open Plugins, click + → Add custom MCP server.
- URL:
https://prolevelmax.com/mcp, authentication: OAuth, then Create. - Sign in to ProLevelMax and click Allow.
In a chat, type @ and pick ProLevelMax.
Other clients
Any client that can read SKILL.md or connect to a remote MCP server over Streamable HTTP can use https://prolevelmax.com/mcp with OAuth or a Bearer key.
Authentication
The MCP server accepts either:
- OAuth 2.1 with PKCE (S256) and dynamic client registration. Authorization server metadata:
https://prolevelmax.com/.well-known/oauth-authorization-server. Protected resource metadata:https://prolevelmax.com/.well-known/oauth-protected-resource. Scope:mcp. - API key as a Bearer token:
Authorization: Bearer sk_procli_.... The REST API uses this method only.
API keys and connected apps are listed in the dashboard and can be removed at any time. You can set daily or monthly spending limits per key or connected app.
MCP tools
REST quick start
All requests use Authorization: Bearer <key> and JSON bodies.
1. Discover a source for your request:
The response lists candidate sources (recommended, items), each with a scraper id, bestFor, verdict and why.
2. Inspect a source to get its input fields and a quote:
quote.maxCharge is the most the run can cost.
3. Run it:
The result includes runId, items, count, cost, wallet and download links. For long jobs add "async": true to get a 202 with a runId, then poll GET /v1/runs/:id.
4. Download the results as CSV, XLSX or JSON:
Check a key and its balance with GET https://prolevelmax.com/v1/whoami. Schedules are at /v1/schedules. Full endpoint list, pagination and error codes: docs and openapi.json.
Example prompts
- Get this Reddit thread with all its comments: [thread link]. Summarise the main arguments for and against and quote the three most upvoted comments.
- Pull the comments on the top TikTok videos for the hashtag #homeespresso and group them into the most common questions.
- Find recent Xiaohongshu notes for the keyword "露营装备" and list the products people mention most.
- Check Reddit every Monday for posts that mention our brand and flag the negative ones.
Pricing
Pay per use from one prepaid balance. No subscription.
- Each source is billed either per call, or per result plus a per-run fee with a per-run minimum.
- Every run gets a quote before it starts. The charge never exceeds the quote, and the balance cannot go below zero.
- The AI asks you to confirm before any run whose quote is above $0.10.
- Failed runs are generally not charged; if part of the work completed, a partial charge applies, never more than the quote.
- New users receive $1 in credit after verifying their email (one per person). No card required.
Rates for each platform: prolevelmax.com/pricing.
Data scope and limits
- Public data only. Private accounts, messages and anything that needs someone's login are not collected.
- Up to 5 concurrent jobs per account (20 for Enterprise accounts), across all keys and connections.
- Run results are kept for 30 days.
Support
- Email: [email protected]
- Contact page: prolevelmax.com/contact
- Roadmap and feature requests: prolevelmax.com/roadmap
Links
- Docs: prolevelmax.com/docs
- Agent Skill: prolevelmax.com/SKILL.md
- OpenAPI: prolevelmax.com/openapi.json
- Pricing: prolevelmax.com/pricing
License
来源:README.md,提交 22987cc
工具
0版本历史
4- v1.5.2最新Oct 21, 2026
- v1.5.1Oct 19, 2026
- v1.5.0Oct 18, 2026
- v1.4.0Oct 16, 2026
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