Use Model Routing Optimizer with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. A deterministic engine for selecting the optimal LLM based on cost, quality, and latency.
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.
Complete set · 3 capabilities
The complete Model Routing Optimizer capability set.
These are the exact actions your AI can choose when you ask it to work with Model Routing Optimizer.
01-03
3 capabilities in this set.
Part of 3 available through Model Routing Optimizer.
- 01
Calculate batch accuracy
Evaluates the historical performance of the routing engine
- 02
Get model catalog
Retrieves the static list of models currently supported by the optimizer
- 03
Route request
Determines the single best model to handle a specific task based on the selected strategy
Observed, not estimated
862ms average. Fast in production.
Model Routing Optimizer is checked daily against the live service.
- Fastest day
- 691ms
- Slowest day
- 1121ms
- 14-day trend
- Stable+3%
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.
https://edge.vinkius.com/vk_preview_lqhTC33Cq1o4ZRm8NaTRR7BbX8ysjmIOVlEkpHdc/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 — Model Routing Optimizer capabilities are ready to use.
{
"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
FAQ
Questions Model Routing Optimizer owners ask.
- 01
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.
- 02
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.
- 03
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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