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AIHackr

AIHackr

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About AIHackr

AIHackr MCP gives AI clients tools to read public webpages, extract structured data, discover links, and run bounded crawls. It connects through a remote MCP endpoint and supports OAuth or API-key authentication.

Key features

  1. 01Read webpages as Markdown or HTML
  2. 02Extract structured JSON from pages
  3. 03Discover webpage links
  4. 04Run crawls with page limits
  5. 05Authenticate with OAuth or API keys

Use cases

  1. 01Provide public webpage content to an AI client
  2. 02Extract selected structured fields from a page
  3. 03Map site links and crawl within a page limit

MCP support

AIHackr exposes webpage reading, link mapping, structured extraction, and crawling through a remote Streamable HTTP MCP endpoint, with OAuth or bearer API-key authentication.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://aihackr.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

AIHackr MCP

Read public webpages as Markdown or HTML, discover links, extract structured JSON, and run bounded crawls from your AI client.

Connect with OAuth

  1. Add https://aihackr.com/mcp as a remote MCP server using Streamable HTTP.
  2. Choose OAuth if prompted. Sign in to AIHackr with your email and review the permissions before authorizing the connection.
  3. Once connected, try the example below. You can revoke the connection from Connected apps.

If your client uses bearer authentication, create an API key in the AIHackr dashboard and set Authorization: Bearer YOUR_AIHACKR_API_KEY using the client's secure credential settings.

Client setup

  • ChatGPT · Add AIHackr as a custom MCP server with OAuth if your workspace supports custom MCP connections. MCP setup guide
  • Claude · In Customize → Connectors, add a custom connector named AIHackr and paste the endpoint.
  • Cursor · Add the configuration below to your MCP settings.
  • Gemini CLI · Run gemini extensions install https://github.com/biserd/aihackr-mcp, then use /mcp auth aihackr in Gemini CLI to connect your account.
  • VS Code · Install AIHackr in VS Code, or run MCP: Add Server, choose HTTP, and enter the endpoint. Then start the server from MCP: List Servers and follow the sign-in prompt.
{
  "mcpServers": {
    "aihackr": {
      "url": "https://aihackr.com/mcp"
    }
  }
}

Try one page

Use AIHackr to read https://fixtures.aihackr.com/ as Markdown. Return the page heading and source URL. Use one page.

The expected heading is “Native engine fixture.” A successful Markdown scrape uses one credit.

Plans and credits

Verified accounts receive 1,200 free credits per UTC calendar month. The playground, REST API, and MCP use the same workspace balance.

PlanUSD per monthCredits per month
Starter$73,000
Builder$157,500
Scale$2920,000

A successful scrape or link map uses one credit. Structured extraction uses five credits. A crawl reserves its requested page limit, charges one credit for each successful page with retained content, and releases unused credits when the job ends. Current plans · Usage and limits

MCP documentation · Privacy · Support

This repository contains the install configuration and listing manifest. The server implementation is in the AIHackr repository.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.