MCP server
dompruner-mcp
io.github.dong7812/dompruner-mcp
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Strips layout noise via DOM AST; with a query, BM25 filters to relevant sections. No model or API.
Working at last checkAbout 288 tokens per request once connected2 tools
https://dompruner-mcp.vercel.app/api/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 2
- Token cost
- About 288 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http dompruner-mcp https://dompruner-mcp.vercel.app/api/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.dompruner-mcp] url = "https://dompruner-mcp.vercel.app/api/mcp"
Gemini CLI
{"mcpServers":{"dompruner-mcp":{"httpUrl":"https://dompruner-mcp.vercel.app/api/mcp"}}}
Cursor
{"mcpServers":{"dompruner-mcp":{"url":"https://dompruner-mcp.vercel.app/api/mcp"}}}
VS Code
{"servers":{"dompruner-mcp":{"type":"http","url":"https://dompruner-mcp.vercel.app/api/mcp"}}}
Antigravity
agy mcp add dompruner-mcp https://dompruner-mcp.vercel.app/api/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"dompruner-mcp","server_url":"https://dompruner-mcp.vercel.app/api/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"dompruner-mcp","server_url":"https://dompruner-mcp.vercel.app/api/mcp"}
Tools
dompruner_analyze~122 tokens
Returns a token-reduction analysis report for a URL. Shows render type (SSR/CSR/SSG), original vs refined token counts, reduction ratio, and top Semantic Anchors.dompruner_fetch~166 tokens
Fetches a URL and returns DOM-pruned Markdown with 90%+ token reduction. Optimized for Developer Documentation, API Specs, and Technical Blogs (Next.js/Nuxt/SSR). Always prefer this over raw WebFetch when the URL is known.
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