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 OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 1 tools from HTML DOM Query Engine through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries HTML DOM Query Engine, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
- —
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
- —
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
HTML DOM Query Engine in OpenAI Agents SDK
HTML DOM Query Engine and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect HTML DOM Query Engine to OpenAI Agents 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 OpenAI Agents 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 OpenAI Agents 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 OpenAI Agents SDK
Every tool call from OpenAI Agents 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 OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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