Agent Tool Selection Router Connector for AI agents.
3 live capabilities
Optimize agentic capability orchestration and execution paths
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Why people use Agent Tool Selection Router
Eliminate agent guesswork with Agent capability Selection Router orchestration
This MCP changes the math. Instead of hoping for the best, you give your agent a deterministic way to evaluate its own toolkit. It looks at real-time data to see which capability is actually working best right now and builds a roadmap for the task. You stop debugging 'why' the agent chose a bad capability and start seeing consistent, repeatable results.
What Vinkius changes
That it replaces agent guesswork with deterministic capability orchestration.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,400+ Connectors
- Real-world use case 01
Fixing broken multi-step workflows
An agent keeps failing a complex data task because it picks the wrong sequence.
- Real-world use case 02
Preventing conflicting API calls
An agent tries to write to a file while another process is locking it.
- Real-world use case 03
Speeding up agent response times
A developer needs a fast response for a web search.
Complete set · 3capabilities
The complete Agent Tool Selection Router capability set.
These are the exact actions your AI can choose when you ask it to work with Agent Tool Selection Router.
01—03
3 capabilities in this set.
Part of 3 available through Agent Tool Selection Router.
- 01 Capability
Calculate capability scores
Generates precise scores for available capabilities by looking at intent and environment. This helps the agent identify the most effective capability for a specific task.
- 02 Capability
Plan capability execution path
Maps out the full sequence of actions required to complete a task. It includes fallback logic and capability chaining to ensure the job gets done.
- 03 Capability
Validate capability constraints
Checks the proposed capability sequence against set rules. It prevents the agent from attempting impossible or conflicting operations.
Set up in minutes
One URL. Then ask Agent Tool Selection Router to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Agent Tool Selection Router 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_5nAr6z7655ZjUGx7gkrfCmg1lyu7RhPaeM4XQPbB/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 Agent Tool Selection Router, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Agent Tool Selection Router for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_5nAr6z7655ZjUGx7gkrfCmg1lyu7RhPaeM4XQPbB/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 Agent Tool Selection Router URL.
- Step 03
Save and start
Save the connection and enable Agent Tool Selection Router in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-tool-selection-router": {
"url": "https://edge.vinkius.com/vk_preview_5nAr6z7655ZjUGx7gkrfCmg1lyu7RhPaeM4XQPbB/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 Agent Tool Selection Router
Open Agent mode in chat and ask: "Using Agent Tool Selection Router, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-tool-selection-router": {
"url": "https://edge.vinkius.com/vk_preview_5nAr6z7655ZjUGx7gkrfCmg1lyu7RhPaeM4XQPbB/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 Agent Tool Selection Router
Ask Copilot: "Using Agent Tool Selection Router, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-tool-selection-router": {
"url": "https://edge.vinkius.com/vk_preview_5nAr6z7655ZjUGx7gkrfCmg1lyu7RhPaeM4XQPbB/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 Agent Tool Selection Router
Open Cascade and ask: "Using Agent Tool Selection Router, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-tool-selection-router": {
"url": "https://edge.vinkius.com/vk_preview_5nAr6z7655ZjUGx7gkrfCmg1lyu7RhPaeM4XQPbB/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 Agent Tool Selection Router
Ask Cline: "Using Agent Tool Selection Router, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add agent-tool-selection-router --transport http "https://edge.vinkius.com/vk_preview_5nAr6z7655ZjUGx7gkrfCmg1lyu7RhPaeM4XQPbB/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 Agent Tool Selection Router
Ask Claude: "Using Agent Tool Selection Router, show me...". 3 tools are ready
Where the request belongs
Work Agent Tool Selection Router can move forward.
This is for developers and AI engineers who are tired of watching their agents loop through failed capability calls or pick the wrong function for a critical task.
AI Engineer
Building reliable agentic workflows that need to work correctly on the first try.
LLM Developer
Optimizing the latency and success rates of complex multi-capability chains.
Automation Architect
Designing robust autonomous systems that must follow strict operational constraints.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Tool Call Optimizer
A deterministic calculator to optimize MCP capability token footprints.
Agent Timeout & Cascading Delay Calculator
Calculate deterministic timeout allocations and predict cascading delays in multi-agent workflows.
Claude Tool Output Compressor
Reduces context window exhaustion by applying deterministic compression rules to large capability outputs.
Batch Request Optimizer
Optimize LLM API costs and latency by grouping requests into efficient batches.
Agent DAG Scheduler
A deterministic engine for calculating execution order and scheduling metrics for multi-agent workflows.
Tool Interface Contract Validator
Ensures capability implementations strictly adhere to declared input and output schemas via deterministic fuzz testing.
Bring your own AI
Change the model, client or framework. Keep Agent Tool Selection Router 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 Agent Tool Selection Router.
The practical details behind the request, access and result.
How does the Agent Capability Selection Router improve my agent's reliability?
It replaces the agent's probabilistic guessing with deterministic scoring. This ensures the agent picks capabilities based on actual performance and intent rather than just chance.
Can I use this MCP with Cursor or VS Code?
Yes, this MCP is compatible with any MCP-compliant client, including Cursor, VS Code, Claude Desktop, and Windsurf.
Will this prevent my agent from making mistakes in complex workflows?
Yes, by planning execution paths and validating constraints, it prevents the agent from attempting illegal or illogical sequences of actions.
Does this MCP help reduce the time it takes for an agent to finish a task?
Absolutely. It scores capabilities based on real-time latency, allowing your agent to always choose the fastest available path to completion.
How does the capability selection scoring work?
The engine evaluates available capabilities against the user's specific intent, their recent success rates, and their current response times to find the best match.
One connection away
Give your agent a direct line to Agent Tool Selection Router.
Connect Agent Tool Selection Router once. Keep it beside 6,400+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available