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How to Use the HTML to Markdown Converter MCP in Pydantic AI

Get type-safe Markdown output. Connect the HTML to Markdown Converter MCP Server to Pydantic AI for total reliability.

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Pydantic AI

Connect HTML to Markdown Converter MCP to Pydantic AI

Create your Vinkius account to connect HTML to Markdown Converter 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.

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Type-validated HTML conversion

When you call `convert_html_to_markdown`, Pydantic AI checks the result against your defined models. If the output doesn't match your schema, the agent catches it immediately. This prevents silent data corruption in your workflow. You get guaranteed Markdown structures that your downstream code can actually process without breaking.

Deterministic parsing logic

The `convert_html_to_markdown` tool provides a consistent transformation path for your HTML content. It strips away the noise of the DOM while keeping the semantic data your agent needs. Your agent logic stays clean because the input format is predictable. You don't have to write custom validation logic to handle malformed strings anymore.

Pydantic AI toolset integration

Register the server as an `MCPToolset` to start converting HTML immediately. It works perfectly with Pydantic AI's type-checking features to ensure every tool call is valid. This is the most reliable way to handle web content in a typed Python environment. You get full control over the inputs and outputs of your agent.

Setup guide

Set up HTML to Markdown Converter MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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-markdown-converter-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 Markdown Converter tools.",
)

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

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Common questions about HTML to Markdown Converter MCP in Pydantic AI

It does. Because Pydantic AI validates MCP responses at runtime, any output from the `convert_html_to_markdown` tool is checked against your models.
Install the slim MCP package, then add an `MCPToolset` pointing to your Vinkius server URL. Pass it to your agent's `toolsets` argument.
If the conversion fails, the tool returns a clear error. Pydantic AI will catch this, allowing you to handle the failure gracefully instead of hallucinating results.
Yes. Since Pydantic AI is model-agnostic, you can use the tool with any model it supports, from Anthropic to local LLMs.
All HTML strings are handled in a Vinkius V8 Isolate sandbox. Your input data is never logged or stored, and every execution is ephemeral and strictly scoped.

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