URL-to-Markdown API for AI pipelines β clean markdown with metadata and caching.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
MCP (Model Context Protocol) server for Averra Extract β 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 β 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
Restart Claude Desktop. The 5 tools will appear in your session.
Add to ~/.cursor/mcp.json (or use the Cursor MCP settings UI):
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 | β | 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
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