Bring Html Parsing
to LlamaIndex
Learn how to connect HTML DOM Query Engine to LlamaIndex and start using 1 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
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 LlamaIndex?
LlamaIndex agents combine HTML DOM Query Engine tool responses with indexed documents for comprehensive, grounded answers. Connect 1 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
- —
Data-first architecture: LlamaIndex agents combine HTML DOM Query Engine tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain HTML DOM Query Engine tool calls with transformations, filters, and re-rankers in a typed pipeline
- —
Multi-source reasoning: agents can query HTML DOM Query Engine, a vector store, and a SQL database in a single turn and synthesize results
- —
Observability integrations show exactly what HTML DOM Query Engine tools were called, what data was returned, and how it influenced the final answer
HTML DOM Query Engine in LlamaIndex
HTML DOM Query Engine and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect HTML DOM Query Engine to LlamaIndex 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 LlamaIndex
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 LlamaIndex 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 LlamaIndex
Every tool call from LlamaIndex 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 LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query HTML DOM Query Engine tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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