What makes the simulation deterministic?

The engine uses specific algorithms to ensure that given the same inputs, the task assignments and metrics will always be identical.

Can I test different load balancing algorithms?

Yes, you can use the simulate_distribution capability to test how different algorithms handle your specific task weights and agent capacities.

How does the MCP handle agent capacity?

The validate_system_constraints capability checks if any agent in your pool will exceed its absolute capacity based on the tasks you want to assign.

Which AI clients can use this MCP?

You can use this MCP with any compatible client like Claude, Cursor, Windsurf, or VS Code.

Does this MCP host the agents?

No, this MCP is a simulation engine used to model how your agents would handle tasks; it does not manage the actual execution of the tasks themselves.

What algorithms are supported?

The engine supports round_robin, weighted_round_robin, least_connections, consistent_hash, and power_of_two_choices.

How is saturation determined?

A saturation flag is triggered if any agent's total load (existing load plus new task weights) exceeds 90% of its maximum capacity.

Can I check if a distribution is feasible?

Yes, use the validate_system_constraints capability to check if a proposed set of tasks can be distributed without exceeding any agent's absolute capacity.

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Connect Load Balancer Distributor to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Test how your algorithms distribute tasks before you deploy them.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Load Balancer Distributor.

01
Validate system constraints
This capability checks if a proposed set of tasks can be distributed without any agent exceeding its absolute capacity.
02
Get agent status
This capability provides a snapshot of the current state of all agents to prepare for a simulation.
03
Simulate distribution
This capability calculates the exact assignment of tasks to agents using a specific algorithm and returns performance metrics.

Real work

What teams actually run

Algorithm Benchmarking

Compare how round robin performs against least connections for a specific set of weighted tasks.

Capacity Planning

Determine if your current agent pool can handle a sudden influx of high-weight tasks.

Constraint Validation

Verify that a proposed distribution plan respects the absolute capacity of every agent in the pool.

System Readiness Checks

Get a snapshot of agent utilization to prepare for a large-scale simulation run.

One connector, every AI

Load Balancer Distributor works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Load Balancer Distributor to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

865ms average. Fast in production.

Load Balancer Distributor is checked daily against the live service.

Daily averagePeak 1092ms

Oct 3Today

Fastest day: 698ms
Slowest day: 1092ms
14-day trend: Improving-26%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Load Balancer Distributor, so you can see the experience inside your AI.

It does not authenticate your account with Load Balancer Distributor. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Load Balancer Distributor Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_KCXzjL1n1FNfWHHWFAVxbFcDYFozUrH0lKsAXp1Y/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Load Balancer Distributor capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "load-balancer-distributor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_KCXzjL1n1FNfWHHWFAVxbFcDYFozUrH0lKsAXp1Y/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Load Balancer Distributor in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Load Balancer Distributor owners hand off.

This MCP is built for engineers designing distributed systems and agentic workflows. You hand off your architectural constraints and task weights to the AI to run stress tests.

01
Infrastructure Engineer
Uses the MCP to validate that new load-balancing logic won't cause agent saturation.
02
Backend Developer
Uses the capability to simulate how weighted tasks will be distributed across a cluster.
03
DevOps Engineer
Uses the simulation engine to predict bottlenecks in agent resource allocation.

FAQ

Questions Load Balancer Distributor owners ask.

01
What makes the simulation deterministic?
The engine uses specific algorithms to ensure that given the same inputs, the task assignments and metrics will always be identical.
02
Can I test different load balancing algorithms?
Yes, you can use the simulate_distribution capability to test how different algorithms handle your specific task weights and agent capacities.
03
How does the MCP handle agent capacity?
The validate_system_constraints capability checks if any agent in your pool will exceed its absolute capacity based on the tasks you want to assign.
04
Which AI clients can use this MCP?
You can use this MCP with any compatible client like Claude, Cursor, Windsurf, or VS Code.
05
Does this MCP host the agents?
No, this MCP is a simulation engine used to model how your agents would handle tasks; it does not manage the actual execution of the tasks themselves.
06
What algorithms are supported?
The engine supports round_robin, weighted_round_robin, least_connections, consistent_hash, and power_of_two_choices.
07
How is saturation determined?
A saturation flag is triggered if any agent's total load (existing load plus new task weights) exceeds 90% of its maximum capacity.
08
Can I check if a distribution is feasible?
Yes, use the validate_system_constraints capability to check if a proposed set of tasks can be distributed without exceeding any agent's absolute capacity.

Explore

More in Infrastructure

Connect Load Balancer Distributor to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Validate system constraints

Get agent status

Simulate distribution

What teams actually run

Algorithm Benchmarking

Capacity Planning

Constraint Validation

System Readiness Checks

Building your own app? The connector is yours to use.

Load Balancer Distributor Connector

Claude Desktop

Infrastructure Engineer

Backend Developer

DevOps Engineer

What makes the simulation deterministic?

Can I test different load balancing algorithms?

How does the MCP handle agent capacity?

Which AI clients can use this MCP?

Does this MCP host the agents?

What algorithms are supported?

How is saturation determined?

Can I check if a distribution is feasible?

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