
Connect Agent Load Balancer Calculator 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. Distribute traffic reliably across any agent pool.
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.

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.
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.
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.
01-03
3 capabilities in this set.
Part of 3 available through Agent Load Balancer Calculator.
- 01
Get sticky session mapping
Determines which specific instance a specific user/request will be routed to, simulating session persistence
- 02
Analyze system health
Provides a high-level overview of how stressed the agent pool is without performing a full distribution calculation
- 03
Calculate distribution
Calculates exactly how many requests from the incoming rate should be assigned to each healthy agent instance based on the selected strategy
Real work
What teams actually run
High-Volume API Gateway
When an API gateway receives thousands of requests per second, use the MCP to distribute the load using weighted response time across microservices.
Stateful User Authentication
For services where a user must always talk to the same agent (e.g., a chat session), use the mapping capability to guarantee session persistence.
Microservice Scaling Validation
Before scaling up, run a simulation to calculate the expected distribution of load using round_robin across a newly added set of agents.
Real-time System Monitoring
Periodically check the system health to track average and maximum utilization, catching potential bottlenecks early.
One connector, every AI
Agent Load Balancer Calculator 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Agent Load Balancer Calculator 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
937ms average. Fast in production.
Agent Load Balancer Calculator is checked daily against the live service.
- Fastest day
- 709ms
- Slowest day
- 1121ms
- 14-day trend
- Stable+1%
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 Agent Load Balancer Calculator, so you can see the experience inside your AI.
It does not authenticate your account with Agent Load Balancer Calculator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Agent Load Balancer Calculator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_bJIaRsWb8BiHaoZVsLT7e6GUj9TmirhJ5dtpG2mD/mcpClaude 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 — Agent Load Balancer Calculator capabilities are ready to use.
{
"mcpServers": {
"agent-load-balancer-calculator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_bJIaRsWb8BiHaoZVsLT7e6GUj9TmirhJ5dtpG2mD/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 Agent Load Balancer Calculator in Claude and other AIs
Who it's for
Built for the work Agent Load Balancer Calculator owners hand off.
This MCP is essential for backend engineers and SREs managing high-traffic, distributed systems. If your application relies on a pool of agents and needs stable, predictable traffic routing, this capability gives you the necessary control. It moves load balancing from guesswork to deterministic calculation.
- 01
Site Reliability Engineer (SRE)
Use it to monitor agent pool utilization and predict scaling needs across multiple backend instances.
- 02
Backend Engineer
Use it to implement complex routing logic, such as consistent hashing, for critical user flows.
- 03
DevOps Engineer
Use it to validate load balancing strategies (like least connections) before deploying changes to production infrastructure.
FAQ
Questions Agent Load Balancer Calculator owners ask.
- 01
Is this MCP useful for basic load balancing?
Yes, but it goes deeper than basic methods. It provides deterministic calculations for strategies like consistent hashing and least connections, ensuring predictable routing under load.
- 02
What is the difference between calculating distribution and checking system health?
Checking system health gives you a high-level overview of utilization and imbalance ratios. Calculating distribution gives you a precise, actionable number for how many requests should hit each agent.
- 03
Does this handle user sessions?
Yes. The get_sticky_session_mapping capability determines which specific agent instance a user will be routed to, which is necessary for maintaining session state.
- 04
Can I use this with my existing infrastructure?
Since it's an MCP, you connect your existing AI client (like Cursor or Claude). Vinkius hosts the MCP, making it ready to use immediately with your agent.
- 05
What strategies does it support?
It supports multiple mathematical strategies including round_robin, least_connections, weighted_response_time, and consistent_hashing.
- 06
How does the least_connections strategy work?
The least_connections strategy assigns requests to the instance with the lowest ratio of current load to its total capacity.
- 07
Can I ensure a user always hits the same instance?
Yes, by using the consistent_hashing strategy with a specific request ID or user ID, you can achieve sticky session routing.
- 08
How are unhealthy instances handled?
All calculations, including analyze_system_health, automatically ignore any instances where the health status is false.
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Connect Agent Load Balancer Calculator to Claude, Cursor, ChatGPT & more
