Compatible with every major AI agent and IDE
What is the HTML DOM Query Engine MCP Server?
If an AI agent needs to scrape a product price from a 20,000-line e-commerce HTML page, passing the entire raw HTML to the LLM destroys its token limit and leads to hallucination. This MCP allows the LLM to pass the raw string and a CSS selector, instantly returning just the target data.
The Superpowers
- Token Saver: Offloads heavy DOM parsing to the native V8 runtime via Cheerio.
- Precision Scraping: Supports complex CSS selectors (e.g.
#main .price) and extracts specific attributes likehreforsrc.
Built-in capabilities (1)
Pass the HTML string and a CSS query (e.g. "h1", ".price", "#title"). Returns the matched text content or attributes. Parses a raw HTML string and extracts text or attributes using a CSS selector deterministically
Why Vercel AI SDK?
The Vercel AI SDK gives every HTML DOM Query Engine tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 1 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same HTML DOM Query Engine integration everywhere
- —
Built-in streaming UI primitives let you display HTML DOM Query Engine tool results progressively in React, Svelte, or Vue components
- —
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
HTML DOM Query Engine in Vercel AI SDK
HTML DOM Query Engine and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect HTML DOM Query Engine to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for HTML DOM Query Engine in Vercel AI SDK
The HTML DOM Query Engine MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 1 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
HTML DOM Query Engine for Vercel AI SDK
Every tool call from Vercel AI SDK to the HTML DOM Query Engine MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Does it download the URL?
No, it parses raw HTML strings that you pass to it.
Can it extract link URLs?
Yes, just pass 'href' in the attribute parameter.
Is it fast?
Yes, it uses Cheerio, which runs entirely in memory without a headless browser.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
Explore More MCP Servers
View all →
Wazuh (SIEM)
21 toolsManage your Wazuh SIEM infrastructure—monitor agents, inspect security events, and manage manager configurations directly from your AI agent.

Datadog
11 toolsMonitor applications via Datadog — query performance metrics, search logs, and list active monitors directly from any AI agent.

Tenable
10 toolsManage Tenable Vulnerability Management scans, inspect cloud assets, and triage CVEs natively via your AI agent.

Browserless (Playwright Cloud)
10 toolsEquip your AI with a remote headless browser to scrape, interact, and run Playwright safely via cloud.
