How to Use the Gripr MCP in OpenAI Agents SDK
Run production OpenAI Agents SDK assistants to audit safety forms and log project hours across your Gripr industrial sites.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Gripr MCP to OpenAI Agents SDK
Create your Vinkius account to connect Gripr 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 safety audits with your OpenAI Agents SDK
The `list_forms` tool lets your OpenAI Agents SDK assistant pull active HSE and QA forms straight from your Gripr workspace. Your OpenAI agent parses these construction records to flag missed inspections or unsigned safety protocols before crews step onto the site. By using the built-in guardrails of this SDK, you prevent your OpenAI agent from acting on unverified Gripr safety reports. The system halts execution if a safety form fails to meet your specific compliance criteria.
Log and verify labor hours on the fly
The `register_hours` tool acts as the bridge between your field team's timesheets and your database using this MCP integration. Your OpenAI agent calls this endpoint to record labor hours for specific tasks, keeping payroll accurate without manual entry. When hours need verification, the agent uses `list_registered_hours` to compare logged times against Gripr project milestones. This setup ensures that your budget calculations remain accurate to the minute.
Coordinate tasks across complex industrial sites
The `create_task` tool gives your agent the ability to assign safety fixes or site maintenance directly to team members through the MCP Server interface. Your OpenAI agent checks the status of current work using `list_tasks` to avoid double-scheduling crews. If a project falls behind, the agent uses `get_project_details` to isolate bottlenecks in the schedule. The agent can then hand off the task to a specialized OpenAI coordinator agent to reallocate resources immediately.
Set up Gripr 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 Gripr tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Gripr tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Gripr 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="Gripr Agent",
instructions="You have access to Gripr 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 Gripr. 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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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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place for every integration
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Common questions about Gripr MCP in OpenAI Agents SDK
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