How to Use the HTML to Text Extractor MCP in Pydantic AI

Q: How do I configure HTML to Text Extractor and Pydantic AI?

Install pydantic-ai-slimmcp and use the MCPToolset class with your Vinkius URL. Pass this MCP Server to your agent via the toolsets parameter.

Q: Should I use MCPServerHTTP for the HTML to Text Extractor and Pydantic AI?

No. That class is deprecated. Always use the unified MCPToolset approach for external HTTP endpoints.

Strict, type-safe HTML stripping for your Pydantic AI agents.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect HTML to Text Extractor MCP to Pydantic AI

Create your Vinkius account to connect HTML to Text Extractor to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup HTML to Text Extractor with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Type-Safe Extraction for Pydantic AI

`extract_text` accepts a raw HTML string and guarantees a plain text return value. When you build agents that care about correctness, you cannot afford silent failures from messy web data. Register the MCP Server using `MCPToolset` with your HTTP endpoint. Pydantic AI validates the tool's input and output at runtime. If a corrupted DOM causes an unexpected return format, the framework fails loudly instead of poisoning your data pipeline.

Model-Agnostic Web Parsing

`extract_text` normalizes web content before it hits your LLM, regardless of which model you run under the hood. Local models and cloud endpoints both struggle with heavy DOM structures. You get a consistent string output every time from this MCP Server. This means you can swap from OpenAI to a local Llama model without rewriting your scraping logic. The text format stays exactly the same.

Prevent Schema Hallucinations

`extract_text` eliminates the inline scripts and CSS that frequently trick LLMs into hallucinating JSON keys. Feeding raw HTML to an agent often breaks structured output generation. By stripping the noise entirely, your agent only sees the actual content. Pydantic AI can then parse that clean text into your defined data models without choking on stray HTML brackets.

Setup guide

Set up HTML to Text Extractor MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "html-to-text-extractor-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to HTML to Text Extractor tools.",
)

result = await agent.run("List recent HTML to Text Extractor transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HTML to Text. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect HTML to Text Extractor now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about HTML to Text Extractor MCP in Pydantic AI

Install `pydantic-ai-slim[mcp]` and use the `MCPToolset` class with your Vinkius URL. Pass this MCP Server to your agent via the `toolsets` parameter.

The tool handles broken tags gracefully and extracts whatever text is readable. Pydantic AI then validates that the tool actually returned a string type.

No. That class is deprecated. Always use the unified `MCPToolset` approach for external HTTP endpoints.

Yes. It converts block-level HTML elements like paragraphs and headers into standard line breaks in the plain text output.

Vinkius manages the endpoint with strict zero-trust principles. Your raw web payloads are parsed in an isolated sandbox that lacks external network access, ensuring no data leakage.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript