How to Use the Rapid URL Indexer MCP in Google ADK

Q: How do I set up Rapid URL Indexer Alternative with Google ADK?

Instantiate McpToolset with the Vinkius HTTP server URL and pass it to your LlmAgent. The Gemini model automatically discovers and executes the five tools exposed by the MCP server.

Q: How does Rapid URL Indexer Alternative handle credit limits in Google ADK?

Your agent should call getcreditbalance before launching a batch. If the credits are insufficient for the size of your URL list, you can pause the execution and alert your team.

Run enterprise-grade indexing pipelines using Google ADK to submit and track URL performance directly from BigQuery data.

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Connect Rapid URL Indexer MCP to Google ADK

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

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Setup Rapid URL Indexer with Google ADK

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Index BigQuery URLs with Google ADK

The `submit_project` tool allows your Gemini-powered agent to read newly generated URLs from BigQuery and submit them directly to Google Search Console. Apex mode triggers up to three indexing attempts at a cost of 3 credits per URL. Your enterprise agent uses these tools to automate search presence without manual console exports. You get immediate indexing for high-priority landing pages right after they go live.

Monitor Large-Scale Indexing Status

The `list_projects` tool fetches every active indexing project associated with your account. Your agent processes this list inside Gemini's million-token context window to analyze historical indexing trends and patterns. Call `get_project_status` to pull real-time progress metrics for any specific batch. This gives your team clear visibility into which content clusters are indexing fastest.

Manage Indexing Budgets via MCP Server

The `get_credit_balance` tool keeps your automated pipelines from running dry by checking your remaining credits before initiating new runs. Your agent can trigger GCP alerts if the balance falls below your operational threshold. Once processing completes, `get_project_report` downloads the final status for every URL in the project. If the report isn't ready, the tool returns a 425 Too Early status so your agent knows to retry later.

Setup guide

Set up Rapid URL Indexer MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Rapid URL Indexer tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Rapid URL Indexer_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Rapid URL Indexer tools via MCP.",
    tools=mcp_tools,
)

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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 Google ADK

Instantiate `McpToolset` with the Vinkius HTTP server URL and pass it to your `LlmAgent`. The Gemini model automatically discovers and executes the five tools exposed by the MCP server.

Yes, you can write a loop where Gemini reads new URLs from BigQuery and passes them to this MCP server. This automates your entire enterprise publishing pipeline.

Your agent should call `get_credit_balance` before launching a batch. If the credits are insufficient for the size of your URL list, you can pause the execution and alert your team.

The MCP server integration supports both Stdio and HTTP transport layers. For cloud-hosted Google ADK agents, the Streamable HTTP transport is the most reliable setup.

Your URLs, project IDs, and credit balances are transmitted securely via encrypted HTTP endpoints. Vinkius executes the server inside a zero-trust sandbox, ensuring your private sitemaps and site structures remain confidential.

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