How to Use the Gotenberg MCP in Pydantic AI

Q: How do I set up Gotenberg with Pydantic AI?

Install the required MCP dependencies and initialize MCPToolset with your server endpoint. This brings all Gotenberg tools into your agent's type-safe environment.

Q: Can I convert Markdown files using Pydantic AI and Gotenberg?

Yes, use the convertmarkdowntopdf tool. Your agent provides the Markdown content, and the server returns a validated, type-checked PDF binary.

Q: How do I verify the Gotenberg version in Pydantic AI?

Simply call the getversion tool. The agent will return the version string as part of its type-checked output, allowing you to track your infrastructure version in your logs.

Ensure type-safe PDF generation and manipulation with Pydantic AI and Gotenberg.

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Connect Gotenberg MCP to Pydantic AI

Create your Vinkius account to connect Gotenberg to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Gotenberg with Pydantic AI

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Type-safe document conversion

Every PDF operation is validated at runtime when using `convert_html_to_pdf` or `convert_office_to_pdf`. If the input parameters don't match the expected schema, Pydantic AI will catch the error immediately. This prevents malformed data from reaching the converter, ensuring your agent only processes valid HTML or document formats.

Reliable PDF manipulation

Use `merge_pdfs` and `split_pdf` with total confidence in your data structures. Pydantic AI enforces strict typing on the tool responses, so your agent won't hallucinate fields or fail silently. This is ideal for production pipelines where you need to guarantee that every merged file follows the expected output format.

Control PDF metadata and bookmarks

Maintain document integrity by using `read_pdf_metadata` and `write_pdf_metadata` with validated schemas. Your agent can read, update, and verify metadata fields without risking data corruption. You can also manage bookmarks using `write_pdf_bookmarks`, ensuring every generated document is indexed correctly according to your defined models.

Setup guide

Set up Gotenberg 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": {
        "gotenberg-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Gotenberg transactions")
print(result.output)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Gotenberg. 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.

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Common questions about Gotenberg MCP in Pydantic AI

Install the required MCP dependencies and initialize `MCPToolset` with your server endpoint. This brings all Gotenberg tools into your agent's type-safe environment.

Yes, every tool execution is validated against your Pydantic models. If the Gotenberg server returns unexpected data, the agent will raise a validation error instead of processing invalid output.

The server maintains strict isolation for your documents. Each conversion job is handled in a clean environment, and raw PDF content is never stored on the server's disk beyond the duration of the request.

Yes, use the `convert_markdown_to_pdf` tool. Your agent provides the Markdown content, and the server returns a validated, type-checked PDF binary.

Simply call the `get_version` tool. The agent will return the version string as part of its type-checked output, allowing you to track your infrastructure version in your logs.

Use it with your favorite AI tools

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