Supercharge your AI with Rapid URL Indexer. Automate SEO Indexing Submissions Via AI Agent

Q: How do I check my remaining credits using Rapid URL Indexer?

Call the getcreditbalance tool. It immediately tells you your available quota, preventing you from starting a campaign that will fail halfway through.

Q: What is the difference between listprojects and retrieveproject?

listprojects gives you an overview of all job IDs in your account. You use retrieveproject when you have a specific ID and need to know its deep, current status or parameters.

Q: Can I submit URLs for indexing using only the URL list?

No. You must first call createproject. This tool accepts your list of URLs and handles the submission logic; you can't just dump them into a single API endpoint.

Q: How do I get the final results after using Rapid URL Indexer?

After the campaign is complete, use getprojectreport and provide the specific Project ID. This tool pulls the metrics you need to see success rates.

Q: If I use createproject with bad or inaccessible URLs, how does Rapid URL Indexer report failures?

The system flags all failed submissions. When you run getprojectreport, the results explicitly list which submitted URLs failed and give a specific error code for each one (like 404 or access denied).

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Connect to your AI in seconds.

Rapid URL Indexer is an MCP Server for submitting specific URLs to search engines for indexing. Your AI client uses this server to monitor campaigns, check credit balances, and automate SEO pinging jobs.

It handles the full lifecycle of tracking content visibility from submission through reporting.

What your AI can do

Create project

Submits a batch of new URLs, kicking off an indexing campaign under a unique project ID.

Get credit balance

Checks and reports your remaining quota or credit balance for running index jobs.

Get project report

Retrieves the full, finalized report detailing which submitted URLs were indexed successfully.

+ 2 more capabilities included

Submit New Indexing Jobs

The agent creates a new project and submits one or more URLs for immediate indexing.

Check Account Credits

You instantly retrieve your remaining indexing credits to ensure you have enough budget for the campaign.

List All Projects

The agent pulls a list of all past and active URL indexing projects by ID.

Get Project Details

You fetch the specific status, metadata, and current state for one defined project ID.

View Final Reports

The server generates a detailed report containing the indexing outcomes and metrics for a completed job.

Ask an AI about this

Compatible AI Apps

OAuth 2.0 Compatible

Claude

ChatGPT

Cursor

Gemini

VS Code

JetBrains

Vercel

Zendesk

+ any other MCP app

Included with Plan

Waiting for input…

AI Agent

Rapid URL Indexer: 5 Tools for Link Visibility

Manage the entire lifecycle of SEO indexing jobs—from initial submission to final performance reporting—using these five dedicated tools.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Rapid URL Indexer on Vinkius

Create Project

Submits a batch of new URLs, kicking off an indexing campaign under a unique project ID.

Get Credit Balance

Checks and reports your remaining quota or credit balance for running index jobs.

Get Project Report

Retrieves the full, finalized report detailing which submitted URLs were indexed...

List Projects

Lists all existing indexing projects and their current status IDs in your account.

Retrieve Project

Gets the detailed status, parameters, and metadata for a specific project ID you...

Connect to your AI in seconds. Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

Start a conversation

Open a new chat. The Rapid URL Indexer integration is available immediately — no restart needed.

Antigravity

Configure Agent Environment

Open your Antigravity agent's workspace configuration or mcp-servers.json file.

Bind the Endpoint

Add the Vinkius endpoint URL to your agent's MCP connections list:

"mcp_servers": {
  "rapid-url-indexer": {
    "serverUrl": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
  }
}

Provide your secure token in place of [YOUR_TOKEN_HERE] to ensure your agent requests are authenticated.

Execute

Start your Antigravity session. The agent will autonomously discover and utilize the Rapid URL Indexer tools with full Vinkius guardrails applied.

VS Code Copilot

⚡

One-Click Install (Recommended)

In your Vinkius Dashboard, simply click the Add to VS Code button for this server. We'll automatically configure your local workspace.

Or configure manually

Open MCP Settings

Open VS Code, press Ctrl/Cmd + Shift + P, and search for GitHub Copilot: MCP Servers.

Add Server Config

Add the Vinkius endpoint configuration to your mcp-servers.json file:

"rapid-url-indexer": {
  "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}

Ensure you replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

LangChain

Install Dependencies

Install the LangChain MCP adapters for your environment:

pip install langchain-mcp-adapters

Connect the Server

Use the SSEClient in LangChain to connect to the Vinkius managed endpoint:

from langchain_mcp_adapters.client import SSEClient

# Connect to Vinkius
client = SSEClient(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
tools = client.get_tools()

CrewAI

Define the Tool

Load the Vinkius MCP tools into your CrewAI agents:

from crewai import Agent
from mcp_crewai import MCPTool

# Connect securely to Vinkius
vinkius_tools = MCPTool(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

# Assign to Agent
researcher = Agent(
    role='Data Researcher',
    tools=vinkius_tools.get_all()
)

Execute Task

Run your CrewAI process. The agent will autonomously route tasks to the Vinkius managed server.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

Import from OpenAPI, Swagger, or YAML specs
Create Agent Skills with progressive disclosure
Deploy to edge with MCPFusion framework
Built in DLP, auth, and compliance on every call
Real time usage dashboard and cost metering
Publish to catalog or keep private

Start building

Make Your AI Do More

Start with Rapid URL Indexer, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.

Use this MCP plus 5,000+ others, all in one place
Add new capabilities to your AI anytime you want
Every connection is secured and compliant automatically
Track usage and costs across all your servers
Works with Claude, ChatGPT, Cursor, and more
New servers added to the catalog every week

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.

VINKIUS INFRASTRUCTURE

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on every call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 5 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Manually submitting URLs for indexing shouldn't take 20 minutes of copy/pasting.

Today, getting content visible to search engines means logging into different platforms and manually pinging every single new page. You spend time copying IDs, navigating through status dashboards, and hoping the submission actually worked when you need it to work right now. It's a tedious loop of copy-paste and guesswork.

With this MCP server, your agent handles that entire sequence in chat. You tell it: 'Index these 75 URLs.' The agent runs `create_project`, tracks the job via ID, and when done, pulls the final metrics using `get_project_report`. You get a clean report, not just a status update.

Rapid URL Indexer MCP Server: Get structured indexing data.

The manual steps that vanish include checking credit limits on separate dashboards and waiting for confirmation emails. You don't have to manage the API calls or the workflow sequence; you just ask your agent, and it uses `get_credit_balance` first, then runs the job.

Now, proving link visibility is an automated chat task. You start by listing projects (`list_projects`) and end with a single command that delivers all the metrics you need—no dashboards to navigate.

Support 24/7 support@vinkius.com ↗

Security Vinkius Trust Center ↗

SLA Service Level Agreement ↗

Report Listing Send Report ↗

What your AI can actually do with this

You need your URLs indexed fast? You gotta get 'em submitted directly to search engines. The Rapid URL Indexer MCP Server handles that whole process—from kicking off a campaign to pulling the final report. It's how you automate SEO pinging jobs so you don't wanna spend hours manually tracking every single link submission.

Before you even start, you gotta check your wallet. You use get_credit_balance to instantly pull up your remaining quota or credit balance for running index jobs. This tells you if you got enough budget locked down to run the campaign you're planning. It’s a quick look at your account credits so you don't get stuck halfway through a big job because you ran out of gas.

When you're ready, you kick things off with create_project. You submit a whole batch of new URLs—you can drop one or fifty—and the server immediately starts an indexing campaign under a unique project ID. That unique ID is your key; it's how you track everything that follows. This tool takes all those links and spins up the initial job, making sure the process gets moving right away.

Once the job is running, you gotta keep tabs on it. You can use list_projects to pull a rundown of every single indexing project—both the ones that are active and the ones that are already done—and get their current status IDs in your account list. This gives you a master view of everything you've got going.

If you need more info on just one job, you use retrieve_project. You plug in the specific project ID you know about, and this tool pulls up all the detailed status, parameters, and metadata for that single campaign. You can see exactly what the server thinks is happening with those URLs right now.

When it’s time to call it quits on a job, you need the final score. That's where get_project_report comes in. This tool retrieves the full, finalized report detailing precisely which submitted URLs were indexed successfully. You get the metrics; you see what worked and what didn't.

Think of the whole cycle: First, check your funds with get_credit_balance. Then, use create_project to submit that big batch of links under a new project ID. While it runs, keep an eye on things by using list_projects for an overview or retrieve_project if you wanna deep-dive into one specific job's details and parameters.

When the dust settles, you pull everything together with get_project_report. You never gotta worry about tracking visibility again; this server handles the whole lifecycle for you.

Built · Hosted · Managed by Vinkius Rapid URL Indexer - Submit & Track URLs for SEO

Server ID 019dd147-0b78-7344-afea-07b4a4b1cdbe

Vinkius Inspector

Compliance Grade A+

Score 100/100

Report View Report ↗

Here's how it actually works

The bottom line is: your AI client handles the sequence—checking credits, starting the job, and pulling the report—in a single conversational flow.

First, check your budget by calling get_credit_balance to confirm you have enough credits.

Next, submit the URLs using create_project, specifying the target links and running a new campaign ID.

Finally, use list_projects to get the new Campaign ID, then call get_project_report with that ID to pull the final results.

Who is this actually for?

This server's core user is the SEO specialist or digital marketing manager who gets tired of manually submitting URLs via web forms. It's for the developer needing to programmatically validate link visibility, or the content strategist running large-scale content audits.

SEO Specialist

Uses this tool daily to submit new articles and check indexing status across hundreds of URLs without logging into multiple web panels.

Web Developer

Integrates the create_project tool into build pipelines, ensuring newly deployed pages are indexed immediately after a site push.

Digital Marketing Manager

Runs large-scale link audits by listing existing projects and retrieving reports to prove link visibility before paying for outreach.

What Changes When You Connect

Immediate Visibility: Instead of waiting for manual pinging, use create_project to submit URLs and get a confirmed Campaign ID instantly. You know the job started right away.

Budget Control: Use get_credit_balance to track your spending before running any large campaign. You won't waste credits on a job that’s already maxed out.

Full Audit Trail: Need proof of what was submitted? Call list_projects to see every indexing job you've ever run, making auditing simple.

Deep Status Checks: Don't guess if a project is done. Use retrieve_project with a specific ID to get the current status and last update timestamp.

Actionable Reports: The get_project_report tool doesn't just say 'done'; it provides metrics on how many links were successfully pushed, giving you real data.

See it in action

01 01

Launching a New Content Pillar

A content manager writes 50 new articles. Instead of manually submitting them one by one to the search console, they ask their agent: 'Submit these 50 URLs for indexing.' The agent runs create_project, and you get an immediate Campaign ID for tracking.

02 02

Pre-Launch SEO Audit

A developer is about to launch a major site section. They first run list_projects to see what's already indexed, then use create_project on the new URLs, and finally call get_project_report in a week to prove visibility.

03 03

Troubleshooting Link Failures

A marketing team suspects some old links aren't getting indexed. They check their budget with get_credit_balance, run retrieve_project on the suspected campaign, and get a detailed status report to pinpoint the failure.

04 04

Scaling Link Building Campaigns

Instead of running small, manual ping jobs, you feed 100 URLs into the system. The agent runs create_project, monitors the job via its ID, and when finished, pulls a comprehensive report using get_project_report.

The honest tradeoffs

Assuming Credits are Unlimited

Anti-pattern

Running three large campaigns back-to-back without checking your budget. You'll hit zero credits and the last job fails silently, wasting time.

The Fix

Always start by calling get_credit_balance. This confirms you have enough quota before running any campaign using create_project.

Over-relying on Listing Only

Anti-pattern

Using only list_projects and getting a list of IDs, but having no idea if those projects are finished or what their results were.

The Fix

After listing the project ID, you must use retrieve_project to check the status. If it's 'complete,' then call get_project_report for actionable data.

Submitting URLs without a Plan

Anti-pattern

Just dumping a list of 50 random links into create_project and walking away, never checking if the job succeeded or what results came back.

The Fix

After submission, always track the Campaign ID. Use get_project_report later to get concrete proof that Google saw those URLs.

When It Fits, When It Doesn't

Use this server when your goal is proving link visibility and managing structured indexing jobs. This tool shines if you need a clear audit trail: submit -> track status -> generate report. Don't use it if your core problem is general SEO content strategy or keyword research—those require dedicated analytics tools. If you only need to check if a URL exists, just use retrieve_project after finding the ID via list_projects. You should avoid using this server if you don't track credits, as running out of budget mid-campaign is easy.

Questions you might have

How do I check my remaining credits using Rapid URL Indexer? +

Call the get_credit_balance tool. It immediately tells you your available quota, preventing you from starting a campaign that will fail halfway through.

What is the difference between `list_projects` and `retrieve_project`? +

list_projects gives you an overview of all job IDs in your account. You use retrieve_project when you have a specific ID and need to know its deep, current status or parameters.

Can I submit URLs for indexing using only the URL list? +

No. You must first call create_project. This tool accepts your list of URLs and handles the submission logic; you can't just dump them into a single API endpoint.

How do I get the final results after using Rapid URL Indexer? +

After the campaign is complete, use get_project_report and provide the specific Project ID. This tool pulls the metrics you need to see success rates.

If I use `create_project` with bad or inaccessible URLs, how does Rapid URL Indexer report failures? +

The system flags all failed submissions. When you run get_project_report, the results explicitly list which submitted URLs failed and give a specific error code for each one (like 404 or access denied).

Are there rate limits when I use the Rapid URL Indexer tools? +

Yeah, usage is primarily controlled by your credit balance. Running out of credits stops submissions until you acquire more. Always check your limit first using get_credit_balance.

What do I need to connect my agent securely to the Rapid URL Indexer MCP? +

You'll need a valid API key and account credentials. Your AI client uses these keys for authorization on every tool call, including when you use list_projects.

After I run `retrieve_project`, how can I tell if the indexing process is fully complete? +

The status output gives a percentage and a completion marker. You must see 100% processed before assuming the project is finished; then you can pull the final data using get_project_report.

How do I submit a new URL to be indexed? +

Simply tell the agent to 'Index this URL: https://...', and it will dispatch the request using your available credits.

Can I check my remaining account credits? +

Yes, ask the agent for your current balance and it will retrieve the exact credit amount from the API.

Can I track the status of my indexing campaigns? +

Absolutely. Query the agent with your Campaign ID to see the progress and success rate of your submitted links.

Connect to your AI in seconds.

Create project

Get credit balance

Get project report

Rapid URL Indexer: 5 Tools for Link Visibility

Make your AI actually useful.

Create Project

Get Credit Balance

Get Project Report

List Projects

Retrieve Project

Connect to your AI in seconds. Security and governance baked right in.

Claude AI

Open Claude Settings

Add Custom Connector

Start a conversation

Claude Code

Open your terminal

Add the MCP Server

Start coding

Cursor

One-Click Install (Recommended)

Open Cursor Settings

Add New Server

Use in Composer

Antigravity

Configure Agent Environment

Bind the Endpoint

Execute

VS Code Copilot

One-Click Install (Recommended)

Open MCP Settings

Add Server Config

Windsurf

One-Click Install (Recommended)

Open Windsurf Settings

Add Server Endpoint

LangChain

Install Dependencies

Connect the Server

CrewAI

Define the Tool

Execute Task

Choose How to Get Started

Build Your Own

Make Your AI Do More

Works with Claude, ChatGPT, Cursor, and more

Manually submitting URLs for indexing shouldn't take 20 minutes of copy/pasting.

Rapid URL Indexer MCP Server: Get structured indexing data.

What your AI can actually do with this

Here's how it actually works

Who is this actually for?

What Changes When You Connect

See it in action

Launching a New Content Pillar

Pre-Launch SEO Audit

Troubleshooting Link Failures

Scaling Link Building Campaigns

The honest tradeoffs

Assuming Credits are Unlimited

Over-relying on Listing Only

Submitting URLs without a Plan

When It Fits, When It Doesn't

Questions you might have