How to Use the Rapid URL Indexer MCP in OpenAI Agents SDK

Q: How do I avoid wasting credits when using Rapid URL Indexer Alternative with OpenAI Agents SDK?

Have your agent call getcreditbalance before running submitproject. You can write a custom guardrail in the SDK to block submissions if your credit balance drops below a specific threshold.

Get your URLs indexed by Google using this MCP server inside OpenAI Agents SDK to track project states directly from your code.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Rapid URL Indexer MCP to OpenAI Agents SDK

Create your Vinkius account to connect Rapid URL Indexer to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Rapid URL Indexer with OpenAI Agents SDK

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Claude

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Gemini

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Bulk Indexing with OpenAI Agents SDK

The `submit_project` tool lets your agent push batches of URLs directly to Google Search Console for fast discovery. Your script handles the entire loop, spending 3 credits per URL in Apex mode to force up to three indexing attempts. Before pushing a new batch, your agent checks `get_credit_balance` to ensure your balance covers the run. This prevents API failures mid-run when running large-scale automated publishing pipelines.

Track Indexing Progress on the Fly

Use `get_project_status` to monitor how many submitted URLs Google has successfully processed. Your agent can run this check on a cron job or during conversational steps to keep your team updated in Slack. When the run finishes, call `get_project_report` to fetch the final indexing status of every single URL. If you poll too quickly, the server returns a 425 Too Early error, which your agent catches and handles gracefully.

Manage SEO Campaigns via MCP Server

The `list_projects` tool lets your agent pull all your active indexing campaigns directly into your OpenAI agent dashboard. You can trace every API call and tool execution to see exactly when and why an indexing request was triggered. Guardrails in the SDK block invalid URLs before they hit your credit balance. This saves money by filtering out broken links or non-canonical pages before the agent can submit them.

Setup guide

Set up Rapid URL Indexer 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 Rapid URL Indexer tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Rapid URL Indexer 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="Rapid URL Indexer Agent",
            instructions="You have access to Rapid URL Indexer 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 Rapid URL Indexer. 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 Rapid URL Indexer MCP in OpenAI Agents SDK

Yes, it works out of the box. You configure the MCP integration as an HTTP streamable endpoint and pass it directly to your agent constructor.

Have your agent call `get_credit_balance` before running `submit_project`. You can write a custom guardrail in the SDK to block submissions if your credit balance drops below a specific threshold.

The server returns a 425 Too Early status code if you request a report before it is ready. Your Python agent will catch this standard HTTP exception, wait for a designated backoff period, and try the request again.

The SDK automatically inspects the server endpoint and registers all five tools. You don't need to write any manual schema definitions or tool wrappers.

This server only touches your submitted URLs, project IDs, and credit balance data. All transmission goes through Vinkius's secure, ephemeral sandboxes, meaning your proprietary URL structures are never stored or logged on external servers.

Use it with your favorite AI tools

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