How to Use the Sproof MCP in OpenAI Agents SDK
Build secure document signing workflows with OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Sproof MCP to OpenAI Agents SDK
Create your Vinkius account to connect Sproof 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.
Key Capabilities
Managing Document Lifecycle
Need to know what documents are available? Your agent can retrieve all files using `list_documents`. This gives a complete inventory, so you don't have to guess which file is needed for the next step. You also need details on specific items. Running `get_document` pulls up full document metadata—the size, type, and owner are all right there. It’s crucial for validating context before any signatures happen.
Controlling Signature Requests
When you need to stop a pending request, use `cancel_signature_request`. This immediately kills the session, preventing accidental signing or unnecessary follow-up emails. It’s fast and clean. If you're starting fresh, `create_signature_request` handles everything. You pass it all the necessary data in one JSON string, and the agent spins up a new, trackable workflow.
Auditing and Contacts
Knowing who signed what is mandatory for compliance. The `list_audit_trail` tool pulls the full history of any signature request, showing every click and status change. You can trace exactly where things went wrong. For managing participants, you can run `list_contacts` to see everyone in your system, or use `create_contact` if someone new needs to sign later. This keeps the participant list accurate.
Set up Sproof 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 Sproof tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Sproof tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Sproof 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="Sproof Agent",
instructions="You have access to Sproof 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 Sproof. 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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Live
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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
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
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place for every integration
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Common questions about Sproof MCP in OpenAI Agents SDK
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