Use Agent Capability Matcher with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Ensure every task goes to the perfect agent, every time.
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 Agent Capability Matcher capability set.
These are the exact actions your AI can choose when you ask it to work with Agent Capability Matcher.
01-03
3 capabilities in this set.
Part of 3 available through Agent Capability Matcher.
- 01
Get capability stats
Provides a summary of capability coverage across the entire agent pool
- 02
Match tasks
Executes the core matching logic to pair tasks with agents based on a specific strategy
- 03
Validate system health
Evaluates the quality of the matching result by checking against predefined operational thresholds
Observed, not estimated
834ms average. Fast in production.
Agent Capability Matcher is checked daily against the live service.
- Fastest day
- 691ms
- Slowest day
- 1007ms
- 14-day trend
- Slowing+15%
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 Agent Capability Matcher, so you can see the experience inside your AI.
It does not authenticate your account with Agent Capability Matcher. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Agent Capability Matcher Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_ksBlmiSpAX79YJ4qEqyAk4ehNCsTLaukhvhpCJ0H/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 — Agent Capability Matcher capabilities are ready to use.
{
"mcpServers": {
"agent-capability-matcher-mcp": {
"url": "https://edge.vinkius.com/vk_preview_ksBlmiSpAX79YJ4qEqyAk4ehNCsTLaukhvhpCJ0H/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 Matcher owners hand off.
This MCP is for teams managing large, specialized pools of AI agents. If your workflow relies on routing complex tasks to the right worker, this is for you. It helps you move beyond guesswork and manage resource allocation deterministically.
- 01
Workflow Engineers
You use this to build reliable, multi-step processes that require guaranteed resource matching.
- 02
DevOps Teams
You use this to monitor the operational health and load distribution of your entire agent fleet.
- 03
AI Product Managers
You use this to analyze capability gaps and ensure your agent pool can handle upcoming product requirements.
FAQ
Questions Agent Capability Matcher owners ask.
- 01
What matching strategies does this MCP support?
It supports deterministic bipartite matching using several strategies. You can choose from greedy, hungarian, or priority-weighted matching to suit your specific assignment needs.
- 02
Does this MCP only assign tasks, or does it check agent capacity too?
It does both. The core function is assignment, but it also handles load balancing. It ensures tasks are assigned while keeping the workload distributed across all available agents.
- 03
How do I know if my assignments are good?
You run the validate_system_health capability. This checks the matching result against predefined operational thresholds, giving you a clear pass/fail status.
- 04
Is this MCP useful if I have many agents with similar skills?
Yes. It uses capability matching to ensure the agent has all required skills, and it uses load balancing to make sure you aren't over-relying on just a few agents.
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