Markdown Content Preprocessor - Fetch web pages, extract content, convert to clean Markdown
MCP Read Website Fast becomes available to MCP clients through the mcp read website fast mcp server. Markdown Content Preprocessor - Fetch web pages, extract content, convert to clean Markdown.
Fast, token-efficient web content extraction for AI agents - converts websites to clean Markdown.
Existing MCP web crawlers are slow and consume large quantities of tokens. This pauses the development process and provides incomplete results as LLMs need to parse whole web pages.
Once connected, the assistant can call these 3 tools directly:
read_website — Fetches a webpage and converts it to clean markdownParameters — - url (required): The HTTP/HTTPS URL to fetchCursor — The Cursor tool exposed by this serverThe server is distributed via npm as @just-every/mcp-read-website-fast, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Knowledge and memory servers address the most frustrating trait of language models — walking into every conversation with no recollection of the last one. MCP Read Website Fast sits in that group, and the shape of its toolset — read_website, Parameters, Cursor — tells you what it is really for. Worth comparing against the other knowledge memory servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| read_website | Fetches a webpage and converts it to clean markdown |
| Parameters | - url (required): The HTTP/HTTPS URL to fetch |
| Cursor | The Cursor tool exposed by this server. |
{
"mcpServers": {
"read-website-fast": {
"command": "npx",
"args": ["-y", "@just-every/mcp-read-website-fast"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.