An MCP (Model Context Protocol) server that lets AI agents fetch and read web pages. Simply give it a URL, and it returns clean, LLM-ready content — fast.
Scrapi is an MCP project maintained in the bamchi/scrapi-mcp-server repository. The maintainer describes its purpose as “An MCP (Model Context Protocol) server that lets AI agents fetch and read web pages. Simply give it a URL, and it returns clean, LLM-ready…”. Read the project documentation for the complete scope.
The documented npm package is @scrapi.ai/mcp-server. The configuration below comes from the maintainer’s example; adapt its paths and account values to your environment.
The example declares SCRAPI_API_KEY. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| url | string |
| format | string |
| scrape_url |
{
"mcpServers": {
"scrapi": {
"command": "npx",
"args": [
"-y",
"@scrapi.ai/mcp-server"
],
"env": {
"SCRAPI_API_KEY": "YOUR_SCRAPI_API_KEY"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| SCRAPI_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
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