Routing Logic Evaluator Connector for AI agents.
3 live capabilities
Control deterministic state transitions in multi-agent workflows
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Why people use Routing Logic Evaluator
Stop agent guesswork with Routing Logic Evaluator state control
With this MCP, you take that decision out of the agent's hands. You define the rules, and the engine makes the call. It's the difference between asking a person to navigate a maze and giving them a GPS. You get a predictable, repeatable path every single time.
What Vinkius changes
That it replaces probabilistic guessing with deterministic routing for your agents.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Preventing infinite loops in research agents
An agent keeps searching for the same info.
- Real-world use case 02
Automated customer support handoffs
A support agent identifies a billing issue.
- Real-world use case 03
Validating complex conditional logic
Before deploying a massive new workflow, you use the schema validator to ensure every rule is perfectly formed and won't fail when the agent hits it.
Complete set · 3capabilities
The complete Routing Logic Evaluator capability set.
These are the exact actions your AI can choose when you ask it to work with Routing Logic Evaluator.
01—03
3 capabilities in this set.
Part of 3 available through Routing Logic Evaluator.
- 01 Capability
Evaluate routing
Determines the next node in your orchestration by checking the current state against your rules. It makes sure your agents always move to the right place.
- 02 Capability
Get routing summary
Provides a high-level look at how complex your routing rules are. It helps you understand the density of your decision logic.
- 03 Capability
Validate condition schema
Checks that your proposed routing rules follow the right structure. This prevents errors before they hit your live workflow.
Set up in minutes
One URL. Then ask Routing Logic Evaluator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Routing Logic Evaluator from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_0jaS2C1dKVnrvDuNZzD87D9yNZY6sUYtGEHH6b0n/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Routing Logic Evaluator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Routing Logic Evaluator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_0jaS2C1dKVnrvDuNZzD87D9yNZY6sUYtGEHH6b0n/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Routing Logic Evaluator URL.
- Step 03
Save and start
Save the connection and enable Routing Logic Evaluator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"routing-logic-evaluator": {
"url": "https://edge.vinkius.com/vk_preview_0jaS2C1dKVnrvDuNZzD87D9yNZY6sUYtGEHH6b0n/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Routing Logic Evaluator
Open Agent mode in chat and ask: "Using Routing Logic Evaluator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"routing-logic-evaluator": {
"url": "https://edge.vinkius.com/vk_preview_0jaS2C1dKVnrvDuNZzD87D9yNZY6sUYtGEHH6b0n/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Routing Logic Evaluator
Ask Copilot: "Using Routing Logic Evaluator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"routing-logic-evaluator": {
"url": "https://edge.vinkius.com/vk_preview_0jaS2C1dKVnrvDuNZzD87D9yNZY6sUYtGEHH6b0n/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Routing Logic Evaluator
Open Cascade and ask: "Using Routing Logic Evaluator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"routing-logic-evaluator": {
"url": "https://edge.vinkius.com/vk_preview_0jaS2C1dKVnrvDuNZzD87D9yNZY6sUYtGEHH6b0n/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Routing Logic Evaluator
Ask Cline: "Using Routing Logic Evaluator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add routing-logic-evaluator --transport http "https://edge.vinkius.com/vk_preview_0jaS2C1dKVnrvDuNZzD87D9yNZY6sUYtGEHH6b0n/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Routing Logic Evaluator
Ask Claude: "Using Routing Logic Evaluator, show me...". 3 tools are ready
Where the request belongs
Work Routing Logic Evaluator can move forward.
This is built for engineers and architects building complex, multi-step agentic workflows that require strict reliability.
AI Engineer
Designing multi-agent orchestrations like LangGraph and needing a way to manage state transitions.
Workflow Architect
Building automated business processes that require predictable handoffs between different specialized agents.
MLOps Engineer
Ensuring that agentic loops are stable, valid, and don't enter infinite cycles during execution.
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Store, share, and collaborate on files securely with enterprise-grade cloud content management and governance controls.
Bring your own AI
Change the model, client or framework. Keep Routing Logic Evaluator connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Routing Logic Evaluator.
The practical details behind the request, access and result.
How can I use Routing Logic Evaluator to stop agent loops?
You can use the engine to check the number of times a specific state has occurred. If a loop is detected, the engine will route the agent to an exit node or a human reviewer instead of repeating the same step.
Does Routing Logic Evaluator work with LangGraph?
Yes, it is specifically designed to handle state transitions for multi-agent frameworks like LangGraph and CrewAI, making it a perfect fit for those workflows.
Can I check my rules before I deploy them?
Absolutely. You can use the validation capability to ensure your rules follow the required structure, preventing errors in your live agentic processes.
Will this make my agentic workflows slower?
The decision engine is designed for high performance. It provides a fast, deterministic way to route agents, which can actually save time by preventing the long, expensive reasoning loops agents often fall into.
How do I know if my routing logic is getting too complicated?
You can use the summary capability to get a high-level view of your rule density. This helps you identify if you have too many overlapping rules or too many unique targets.
How does the routing priority work?
The engine evaluates rules in the exact order they are provided. The first rule whose condition evaluates to true is the only one that is executed.
Can I validate my rules before running them?
Yes, you can use the validate_condition_schema capability to ensure your routing rules follow the correct structure before they are used in a live orchestration.
What operators are supported?
The engine supports equals, not_equals, contains, greater_than, less_than, is_empty, and is_set.
One connection away
Give your agent a direct line to Routing Logic Evaluator.
Connect Routing Logic Evaluator once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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