How to Use the ThePDFMaker MCP in Pydantic AI
Ensure data correctness for high-fidelity PDFs using Pydantic AI and ThePDFMaker MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ThePDFMaker MCP to Pydantic AI
Create your Vinkius account to connect ThePDFMaker to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Generate validated documents with Pydantic AI.
When your agent needs to create an invoice, it calls `generate_pdf`. Since you're using Pydantic AI, you know exactly what data the tool expects. The MCP Server handles the template rendering and returns a job ID that requires polling via `get_pdf_status` for the final link. This process is built around correctness. If the data provided to `generate_pdf` doesn't match the expected schema, your Pydantic AI framework fails loud and clear—no silent corruption.
Manage assets and templates via MCP Server.
Need to update a corporate logo or retire an old report format? Use `list_asset_files` first. Then, use `delete_pdf_template` when the template is no longer needed. The list of available formats comes from `list_pdf_templates`. These tools ensure your agent only works with validated resources. Always check `get_api_status` before running a job; it verifies connectivity to the MCP Server, which is key for type-safe operations.
Audit and monitor using Pydantic AI.
To maintain data integrity, your agent should check its status frequently. Use `get_credit_balance` before running large batches to prevent unexpected failures. You can also use `list_recent_pdfs` and `list_webhooks` to audit previous actions or set up automated notifications when a document is ready. Use `get_user_profile` early in the workflow; this pulls core account info that your agent must validate against its Pydantic models before proceeding.
Set up ThePDFMaker 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 deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith 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 callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"thepdfmaker-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to ThePDFMaker tools.",
)
result = await agent.run("List recent ThePDFMaker transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by PDFMaker. 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
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Real-time monitoring
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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
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Common questions about ThePDFMaker MCP in Pydantic AI
Use it with your favorite AI tools
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Start using the ThePDFMaker MCP today
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