ScrapingAnt MCP Server
ScrapingAnt operates a first-party hosted MCP server that gives an AI agent live web access through the same headless-Chrome cluster and rotating proxy pool that backs the /v2/general REST endpoint. Three tools return the same fetched page in three formats - raw HTML, cleaned Markdown, and plain text - so the agent can pick the representation that fits the task. Authentication is the same x-api-key the REST API uses, sent as an HTTP header, and MCP calls draw down the same API-credit pool.
One-click install for Cursor, VS Code, Claude, and 20+ other MCP clients, powered by API Commons MCP Install — visit install.apicommons.org for more information.
Descriptor
Candidate descriptor · transport
Tools
get_web_page_html— Fetch (scrape) a URL using ScrapingAnt and return the web page content as HTML.get_web_page_markdown— Fetch (scrape) a URL using ScrapingAnt and return the web page content as Markdown.get_web_page_text— Fetch (scrape) a URL using ScrapingAnt and return the web page content as plain text.
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.
Work with this as data
Every MCP server here is available over the APIs.io API and to AI agents over MCP.