How to Use the Gotenberg MCP in OpenAI Agents SDK
Convert web and document assets to PDFs directly within your OpenAI Agents SDK workflows.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Gotenberg MCP to OpenAI Agents SDK
Create your Vinkius account to connect Gotenberg to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Generate PDFs from web content
Your agent can turn raw HTML, Markdown, or live URLs into professional documents using `convert_html_to_pdf`, `convert_markdown_to_pdf`, or `convert_url_to_pdf`. This lets you archive web research or generate reports on the fly. The tool returns base64 encoded data, so your agent can immediately pass the binary output to other file-handling tools or store it directly in your cloud storage buckets.
Automate document manipulation
Stop manual file handling by using `merge_pdfs` and `split_pdf` to organize your documentation assets. Your agent handles the logic, ensuring files are combined or separated exactly when the workflow requires it. You can also use `embed_pdf_attachments` to append supporting documentation to your primary reports without leaving the agent's execution context.
Manage PDF metadata and bookmarks
Ensure your generated reports are searchable and compliant by using `write_pdf_metadata` and `write_pdf_bookmarks` to inject custom tags. Your agent can read existing structures with `read_pdf_metadata` before making any changes. This level of control ensures every file generated by your MCP Server meets your specific internal naming and indexing requirements.
Set up Gotenberg MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Gotenberg tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Gotenberg tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Gotenberg tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Gotenberg Agent",
instructions="You have access to Gotenberg tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
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 Gotenberg MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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