How does the MCP decide which model to use?

It uses a deterministic engine to match task complexity against model cost, quality, and latency based on your chosen strategy.

Can I use this with Claude or Cursor?

Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

What happens if a model is too slow?

The system can flag potential SLA violations based on the latency thresholds you define.

Does this help reduce my AI costs?

Yes, by using the cost_first strategy, the engine selects the most economical model capable of handling the specific task.

How do I know if the routing is working well?

You can use the calculate_batch_accuracy capability to evaluate the historical performance of the routing engine.

How does the routing strategy work?

The engine uses three strategies: quality_first picks the highest quality model, cost_first picks the cheapest, and balanced picks the best quality-to-cost ratio.

What is Quality Sufficiency?

It is a metric that compares the selected model's quality score against the task's complexity. If the score is too low, the system flags an INSUFFICIENT_QUALITY warning.

Can I set a maximum latency limit?

Yes, you can provide an slaThreshold to the route_request capability. If the estimated latency exceeds this, an SLA_VIOLATION flag is raised.

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Connect Model Routing Optimizer 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. Stop overpaying for simple tasks and hitting latency walls.

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 Model Routing Optimizer.

01
Calculate batch accuracy
This capability evaluates how well the routing engine has performed historically. It helps you see if your current routing logic is actually hitting your quality targets.
02
Get model catalog
This capability provides a list of all models currently supported by the optimizer. Use it to see what options your agent has to work with.
03
Route request
This capability picks the single best model for a specific task. It uses your chosen strategy to match task complexity with model capability.

Real work

What teams actually run

Cost Optimization

Route basic classification tasks to economy models while saving high-tier models for reasoning.

SLA Compliance

Ensure your user-facing chat application stays fast by avoiding high-latency models during peak times.

Quality Control

Automatically switch to a more powerful model if the current one fails to meet quality standards.

A/B Testing Strategies

Compare how different routing strategies like cost_first versus balanced affect your total spend and accuracy.

One connector, every AI

Model Routing Optimizer 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 Model Routing Optimizer 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

894ms average. Fast in production.

Model Routing Optimizer is checked daily against the live service.

Daily averagePeak 1190ms

Oct 3Today

Fastest day: 653ms
Slowest day: 1190ms
14-day trend: Improving-21%

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 Model Routing Optimizer, so you can see the experience inside your AI.

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

Model Routing Optimizer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_lqhTC33Cq1o4ZRm8NaTRR7BbX8ysjmIOVlEkpHdc/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 — Model Routing Optimizer capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "model-routing-optimizer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_lqhTC33Cq1o4ZRm8NaTRR7BbX8ysjmIOVlEkpHdc/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 Model Routing Optimizer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Model Routing Optimizer owners hand off.

This is built for developers and engineers building production AI applications that need to stay cost-effective and reliable.

01
AI Engineers
They hand off the task of model selection to the MCP to keep their code clean.
02
Product Managers
They use the accuracy and cost data to manage the unit economics of their AI features.
03
DevOps Engineers
They monitor latency and SLA violations to ensure system stability.

FAQ

Questions Model Routing Optimizer owners ask.

01
How does the MCP decide which model to use?
It uses a deterministic engine to match task complexity against model cost, quality, and latency based on your chosen strategy.
02
Can I use this with Claude or Cursor?
Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.
03
What happens if a model is too slow?
The system can flag potential SLA violations based on the latency thresholds you define.
04
Does this help reduce my AI costs?
Yes, by using the cost_first strategy, the engine selects the most economical model capable of handling the specific task.
05
How do I know if the routing is working well?
You can use the calculate_batch_accuracy capability to evaluate the historical performance of the routing engine.
06
How does the routing strategy work?
The engine uses three strategies: quality_first picks the highest quality model, cost_first picks the cheapest, and balanced picks the best quality-to-cost ratio.
07
What is Quality Sufficiency?
It is a metric that compares the selected model's quality score against the task's complexity. If the score is too low, the system flags an INSUFFICIENT_QUALITY warning.
08
Can I set a maximum latency limit?
Yes, you can provide an slaThreshold to the route_request capability. If the estimated latency exceeds this, an SLA_VIOLATION flag is raised.

Explore

More in Optimization

Connect Model Routing Optimizer 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

Calculate batch accuracy

Get model catalog

Route request

What teams actually run

Cost Optimization

SLA Compliance

Quality Control

A/B Testing Strategies

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

Model Routing Optimizer Connector

Claude Desktop

AI Engineers

Product Managers

DevOps Engineers

How does the MCP decide which model to use?

Can I use this with Claude or Cursor?

What happens if a model is too slow?

Does this help reduce my AI costs?

How do I know if the routing is working well?

How does the routing strategy work?

What is Quality Sufficiency?

Can I set a maximum latency limit?

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