How to Use the Grepsr MCP in OpenAI Agents SDK

Q: Can I use OpenAI Agents SDK to trigger a Grepsr crawl only if the previous run failed?

Yes, you can. Your agent can call getreporthistory to check the status of the last scraper run. If the last run failed or returned empty records, the agent calls runreport to start a fresh run.

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Connect Grepsr MCP to OpenAI Agents SDK

Create your Vinkius account to connect Grepsr 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.

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Setup Grepsr with OpenAI Agents SDK

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Run Crawlers and Pull Datasets on Demand

The `run_report` tool gives your Python agents direct control over your scraper runs. When your agent needs fresh competitive intelligence, it triggers the scraper and waits for the run to complete. You get the raw data instantly using `get_latest_data` without jumping between browser tabs. This keeps your agentic loops fast and focused on analyzing facts rather than waiting on manual CSV downloads.

Monitor Extraction Budgets in OpenAI Agents SDK

The `get_usage_stats` tool lets your agent track your active API credit consumption before firing off expensive crawl jobs. Agents check their current limits first, preventing unexpected budget overruns during automated runs. If limits are tight, the agent can check `get_report_history` to see if a recent run already has the required data. This prevents redundant scraping runs and keeps your operational costs predictable.

Manage Scraping Pipelines Safely

The `list_projects` tool exposes your entire scraper catalog to your agent inside a secure MCP sandbox. Your agent can inspect active configurations with `get_report_details` to verify it targets the correct web sources. This MCP Server integration allows you to build multi-agent systems where one agent schedules crawls and another validates the output. You retain complete visibility through the OpenAI tracing dashboard to audit every single tool call.

Setup guide

Set up Grepsr MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Grepsr tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Grepsr tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Grepsr tools and returns structured results. Copy the full example on the right to get started.

agent.py

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="Grepsr Agent",
            instructions="You have access to Grepsr tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Grepsr. 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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Common questions about Grepsr MCP in OpenAI Agents SDK

Instantiate the server using MCPServerStreamableHttp with your Vinkius endpoint URL. Pass this instance into your Agent constructor using the mcp_servers parameter. The SDK auto-discovers all twelve scraping tools instantly.

Yes, you can. Your agent can call `get_report_history` to check the status of the last scraper run. If the last run failed or returned empty records, the agent calls `run_report` to start a fresh run.

The SDK relies on built-in guardrails and retry logic that you can configure in your agent definition. You can also have your agent call `get_usage_stats` to verify your remaining quota before triggering new runs.

Yes, by inspecting your delivery pipelines through the MCP tool interface. Your agent calls `list_integrations` to check where the scraped data is delivered, ensuring files land in your target S3 bucket or SFTP server.

Vinkius runs the MCP server in an isolated V8 sandbox, meaning your API keys never leak to the model. Only the resulting scraped records and report configurations are sent to your agent over a secure connection.

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