Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Agent Capability Matching Engine with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. It ensures your AI workflow always uses the optimal agent.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete Agent Capability Matching Engine capability set.

These are the exact actions your AI can choose when you ask it to work with Agent Capability Matching Engine.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Agent Capability Matching Engine.

  1. 01

    Analyze capability gaps

    Identifies what capabilities are missing from the agent pool to satisfy a specific intent

  2. 02

    Calculate routing scores

    Determines the optimal agent(s) for a specific user intent by calculating composite scores

  3. 03

    Plan multi agent composition

    Determines the optimal sequence of agents required to fulfill an intent when no single agent is sufficient

  4. 04

    Validate routing health

    Checks if the current routing plan is risky due to low scores or high gaps

Observed, not estimated

822ms average. Fast in production.

Agent Capability Matching Engine is checked daily against the live service.

Daily averagePeak 1044ms
Aug 20Today
Fastest day
665ms
Slowest day
1044ms
14-day trend
Slowing+37%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 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 Capability Matching Engine, so you can see the experience inside your AI.

It does not authenticate your account with Agent Capability Matching Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Agent Capability Matching Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_pjXBUVcUztBQMt9Kffkjs0TwG0wBLAQejYsiOszR/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Agent Capability Matching Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "agent-capability-matching-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_pjXBUVcUztBQMt9Kffkjs0TwG0wBLAQejYsiOszR/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

Who it's for

Built for the work Agent Capability Matching Engine owners hand off.

This MCP is for technical teams building complex, multi-step AI systems. If your application relies on routing tasks between several specialized agents, this capability provides the necessary intelligence layer. It moves your AI architecture from simple calls to reliable, orchestrated workflows.

  • 01

    AI Architect

    Designs the overall system structure, using this MCP to map user intent to the correct agent sequence.

  • 02

    ML Engineer

    Implements the decision-making logic, relying on the scoring and gap analysis capabilities for robustness.

  • 03

    Workflow Developer

    Builds and tests multi-agent compositions, using the planning capabilities to ensure the workflow executes correctly.

FAQ

Questions Agent Capability Matching Engine owners ask.

  • 01

    Is this different from a simple router?

    Yes. A simple router just sends the task to the first agent it thinks of. This MCP calculates the optimal path by analyzing capability intersection, performance metrics, and real-time load. It's a decision layer, not just a switch.

  • 02

    What kind of input does it need?

    It requires a clear user intent. You can also provide it with a list of available agents, which it uses to calculate scores and identify missing skills.

  • 03

    Can it handle multiple steps?

    Absolutely. The plan_multi_agent_composition capability is designed specifically to determine the correct sequence of agents when one single agent isn't enough.

  • 04

    Does it check if the plan is safe?

    Yes. You can use validate_routing_health to check the plan for risks, such as low routing scores or large capability gaps, before you commit to running the workflow.

Explore

More in Routing

Suggestions