Scrapi vs MCP Read Website Fast
A side-by-side look at the Scrapi and MCP Read Website Fast MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Scrapi for search & data extraction work as a local process; choose MCP Read Website Fast for search & data extraction as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Scrapi when
- You need dedicated capabilities in the Search & Data Extraction domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
SCRAPI_API_KEY. - You want tools like
scrape_url, scrape_urls, get_usage.
Choose MCP Read Website Fast when
- You need dedicated capabilities in the Search & Data Extraction domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
read_website.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Search & Data Extraction | Search & Data Extraction |
| Quality signal | 59/100 · Good | 68/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | SCRAPI_API_KEY | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 5 | 162 |
| Directory activity | 1 views 0 installs 0 upvotes | 5 views 0 installs 0 upvotes |
| Tools | 5 | 1 |
| Full listing | View Scrapi | View MCP Read Website Fast |
Tools & capabilities
Scrapi tools 5
scrape_urlScrapes a webpage and returns the content in AI-readable Markdown format. Can access blocked sites through browser rendering.scrape_urlsScrapes multiple webpages in parallel and returns the content in AI-readable Markdown format. Can access blocked sites through browser rendering.get_usageCheck API usage and remaining credits. Returns current plan, subscription credits, purchased credits, and total remaining credits.scraper_server_statusCheck the status of all ScraperServer instances. Shows server health, circuit breaker state, failure counts, and last success/failure times.get_billingRetrieve MCP billing information: subscription details, available plans, daily usage history, or spending limits.
MCP Read Website Fast tools 1
read_websiteFetches a webpage and converts it to clean markdown
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Scrapi
{
"mcpServers": {
"scrapi": {
"command": "npx",
"args": [
"-y",
"@scrapi.ai/mcp-server"
],
"env": {
"SCRAPI_API_KEY": "YOUR_SCRAPI_API_KEY_HERE"
}
}
}
}
MCP Read Website Fast
{
"mcpServers": {
"just-every-mcp-read-website-fast": {
"command": "npx",
"args": [
"-y",
"@just-every/mcp-read-website-fast"
]
}
}
}
Frequently asked questions
Scrapi is categorized under Search & Data Extraction and uses a local stdio subprocess. MCP Read Website Fast belongs to Search & Data Extraction and uses a local stdio subprocess. Pick Scrapi for search & data extraction work and MCP Read Website Fast for search & data extraction.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Scrapi has no declared pricing — check the project's own site. MCP Read Website Fast is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add scrapi and just-every-mcp-read-website-fast as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Scrapi has a quality signal of 59/100 (Good) with 1 views, 0 installs and 5 GitHub stars. MCP Read Website Fast has 68/100 (Great) with 5 views, 0 installs and 162 GitHub stars.