Server data from the Official MCP Registry
URL-to-Markdown API for AI pipelines — clean markdown with metadata and caching.
URL-to-Markdown API for AI pipelines — clean markdown with metadata and caching.
Valid MCP server (5 strong, 3 medium validity signals). 8 known CVEs in dependencies (2 critical, 4 high severity) Package registry verified. Imported from the Official MCP Registry.
12 files analyzed · 9 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Unverified package source
We couldn't verify that the installable package matches the reviewed source code. Proceed with caution.
Add this to your MCP configuration file:
{
"mcpServers": {
"dev-averra-extract": {
"args": [
"-y",
"@averra/extract-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
MCP (Model Context Protocol) server for Averra Extract — lets AI agents like Claude, Cursor, and ChatGPT convert any webpage into clean, LLM-ready Markdown.
Listed in the official MCP registry as dev.averra/extract. MCP clients that support registry-based install can reference that identifier directly; for clients that need manual configuration, see the install sections below.
Exposes the Averra Extract API as 5 MCP tools:
| Tool | Description |
|---|---|
averra_extract_url | Convert any URL to clean Markdown with metadata |
averra_check_usage | Check monthly quota and remaining requests |
averra_create_api_key | Create a new API key |
averra_list_api_keys | List all API keys on the account |
averra_revoke_api_key | Revoke an API key by ID |
Sign up at averra.dev — the free plan includes 50 requests/month.
Add this to your claude_desktop_config.json:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"averra-extract": {
"command": "npx",
"args": ["-y", "@averra/extract-mcp"],
"env": {
"AVERRA_EXTRACT_API_KEY": "sk_live_your_key_here"
}
}
}
}
Restart Claude Desktop. The 5 tools will appear in your session.
Add to ~/.cursor/mcp.json (or use the Cursor MCP settings UI):
{
"mcpServers": {
"averra-extract": {
"command": "npx",
"args": ["-y", "@averra/extract-mcp"],
"env": {
"AVERRA_EXTRACT_API_KEY": "sk_live_your_key_here"
}
}
}
}
Any stdio-based MCP client works. Point it at npx -y @averra/extract-mcp with AVERRA_EXTRACT_API_KEY in the environment.
| Env var | Required | Default | Description |
|---|---|---|---|
AVERRA_EXTRACT_API_KEY | yes | — | Your Extract API key (starts with sk_live_) |
AVERRA_EXTRACT_BASE_URL | no | https://averra.dev | Override API host |
TRANSPORT | no | stdio | stdio (local) or http (hosted) |
PORT | no | 3000 | Port when TRANSPORT=http |
Once installed, try:
MIT
Be the first to review this server!
by Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
by Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
by mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
by Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption
by mcp-marketplace · Developer Tools
Scaffold, build, and publish TypeScript MCP servers to npm — conversationally
by mcp-marketplace · Finance
Free stock data and market news for any MCP-compatible AI assistant.