About Web Extract MCP Server
A hosted MCP server for agents retrieving web pages and sitemap data. It offers capped previews and paid full endpoints for extraction, monitoring, and sitemap access.
Key features
- 01Clean Markdown URL previews
- 02Prompt-injection screening
- 03First 20 sitemap URLs
- 04Paid extraction and monitoring endpoints
Use cases
- 01Preview a page before retrieval
- 02Discover URLs listed in a sitemap
- 03Monitor pages for changes
- 04Retrieve full web content
MCP support
Exposes a streamable HTTP MCP endpoint with free preview tools and paid endpoints for web extraction, monitoring, and sitemap access.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://jobs.greyridgesignals.ai/mcp/webclaude mcp add --transport http rezearcher-web-extract https://jobs.greyridgesignals.ai/mcp/web{"mcpServers":{"rezearcher-web-extract":{"type":"http","url":"https://jobs.greyridgesignals.ai/mcp/web"}}}Open in Cursor{"servers":{"rezearcher-web-extract":{"type":"http","url":"https://jobs.greyridgesignals.ai/mcp/web"}}}Open in VS Code{"mcpServers":{"rezearcher-web-extract":{"type":"http","url":"https://jobs.greyridgesignals.ai/mcp/web"}}}{"mcpServers":{"rezearcher-web-extract":{"serverUrl":"https://jobs.greyridgesignals.ai/mcp/web"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEWeb Extract MCP Server
Hosted MCP server (streamable HTTP) for web retrieval by agents.
Endpoint: https://assetfactory-jobs-x402.sigrunner.workers.dev/mcp/web
Free tools:
web_extract_preview- capped clean-markdown extraction of a URL, with a prompt-injection screen.sitemap_preview- first 20 URLs from a site's sitemaps.get_premium_access- how to call the full paid endpoints.
Paid endpoints (x402, USDC on Base, no signup): /web/extract, /web/monitor, /web/sitemap at $0.003 per call.
Docs: https://jobs.greyridgesignals.ai/llms.txt
Comments
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.