
ProLevelMax
com.prolevelmax由 prolevelmax.com 發布官方發布者v1.5.2更新於 Nov 4, 2026
Social media data MCP server for AI: Reddit, TikTok, Instagram, X, YouTube, Xiaohongshu, Douyin
概覽
遠端 MCP 伺服器,讓 AI 助理取得 Reddit、TikTok、Instagram、X、YouTube 等平台的即時公開社群媒體資料,包括貼文、留言、個人檔案與趨勢。
- 可以做什麼
- 以中英文為需求尋找可用的資料來源,並檢視來源的輸入欄位、價格與報價
- 執行來源以蒐集貼文、留言、個人檔案或互動資料,並查看執行狀態與分頁結果
- 查詢預付餘額,並將結果下載為 CSV、XLSX 或 JSON
- 建立、列出與刪除每日或每週的排程執行
- 適用情境
- 適合需要最新公開社群媒體或網頁資料的情境,例如取得 Reddit 整串留言、分析 TikTok 或小紅書留言、品牌聲量監測,而非依賴靜態知識。適用於可接受按次計費的研究與分析工作。
- 執行需求
- 遠端 Streamable HTTP 端點,無需在本機安裝。驗證方式為 OAuth 2.1 登入,或以 Authorization Bearer 權杖使用 API 金鑰(例如 Codex 中的 PLM_API_KEY 環境變數)。需要 ProLevelMax 帳號與預付餘額;新使用者驗證電子郵件後可獲得額度。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 ProLevelMax,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/com.prolevelmax%2Fprolevelmax/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"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
來源:README.md,提交 22987cc
工具
0版本歷史
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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