ProLevelMax MCP

Real-time public social media data for AI agents: a remote MCP server, an Agent Skill and a REST API covering 157 platforms.

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.md for 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.

Related MCP server: AI Social Data MCP

Quickstart (Skill)

1. 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.

2. Send this line to your AI (Claude, Claude Code, Codex, Cursor and others) together with the key:

   set up https://prolevelmax.com/SKILL.md

3. 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:

claude mcp add --scope user --transport http prolevelmax https://prolevelmax.com/mcp --header "Authorization: Bearer sk_procli_..."

Without a key (OAuth): add the server without the header, then run /mcp inside Claude Code to sign in.

claude mcp add --scope user --transport http prolevelmax https://prolevelmax.com/mcp

Codex

Pass the API key through an environment variable:

export PLM_API_KEY=sk_procli_...
codex mcp add prolevelmax --url https://prolevelmax.com/mcp --bearer-token-env-var PLM_API_KEY

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):

{
  "mcpServers": {
    "prolevelmax": {
      "url": "https://prolevelmax.com/mcp",
      "headers": { "Authorization": "Bearer sk_procli_..." }
    }
  }
}

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.

{
  "servers": {
    "prolevelmax": {
      "type": "http",
      "url": "https://prolevelmax.com/mcp"
    }
  }
}

Claude.ai and Claude Desktop

Settings → Connectors → Add custom connector, then paste:

https://prolevelmax.com/mcp

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:

1. Open Plugins, click + → Add custom MCP server.

2. URL: https://prolevelmax.com/mcp, authentication: OAuth, then Create.

3. 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:

curl https://prolevelmax.com/v1/discover \
  -H "Authorization: Bearer sk_procli_xxx" \
  -H "Content-Type: application/json" \
  -d '{"query":"reddit comments"}'

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:

curl https://prolevelmax.com/v1/inspect \
  -H "Authorization: Bearer sk_procli_xxx" \
  -H "Content-Type: application/json" \
  -d '{"scraper":"procli_reddit_b","input":{"post_id":"t3_1abcde"}}'

quote.maxCharge is the most the run can cost.

3. Run it:

curl https://prolevelmax.com/v1/run \
  -H "Authorization: Bearer sk_procli_xxx" \
  -H "Content-Type: application/json" \
  -d '{"scraper":"procli_reddit_b","input":{"post_id":"t3_1abcde"}}'

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:

curl -o results.csv "https://prolevelmax.com/v1/runs/RUN_ID/download?format=csv" \
  -H "Authorization: Bearer sk_procli_xxx"

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: toph@prolevelmax.com

• 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

MIT