How to Use the Autenti MCP in OpenAI Agents SDK
Handle legal signatures directly in your OpenAI Agents SDK workflow without leaving your Python code.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Autenti MCP to OpenAI Agents SDK
Create your Vinkius account to connect Autenti to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automate document signing with OpenAI Agents SDK
Trigger `create_new_signature_process` to push documents into your legal workflows instantly. This MCP Server lets your agent draft the process metadata and initiate the signing cycle without manual intervention. Your agents manage the lifecycle by calling `list_signature_processes` to keep track of pending signatures. It removes the need to jump between your terminal and the Autenti dashboard.
Manage your signer contacts through code
Use `add_new_contact` to update your address book directly from your agent logic. It keeps your signer list accurate as your business grows. Pull existing details with `list_saved_contacts` to ensure your agent sends documents to the right people. This avoids data entry errors during high-volume document processing.
Verify process status and audit trails
Call `get_process_details` to check if a document is signed or rejected. Your agent parses this data to decide the next step in your pipeline. Use `list_process_participants` to identify who has signed and who still needs to act. This visibility ensures your agent handles compliance requirements without human oversight.
Set up Autenti 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 Autenti tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Autenti tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Autenti 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="Autenti Agent",
instructions="You have access to Autenti 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 Autenti. 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 Autenti MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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