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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Metorial with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Enterprise observability and serverless scaling infrastructure directly mapping MCP agents logic.

Included with plan

Ask AI about this Connector

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 8 capabilities

The complete Metorial capability set.

These are the exact actions your AI can choose when you ask it to work with Metorial.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 8 available through Metorial.

  1. 01

    Metorial delete server

    Dismantle logical server parameters mapping natively

  2. 02

    Metorial get server status

    Check explicit logical health matrices protecting a hosted node

  3. 03

    Metorial get usage metrics

    Aggregate explicitly cost matrix boundaries and latency tracking natively

  4. 04

    Metorial invoke server tool

    Command interaction executions explicitly routed to the serverless container node

Capability set02 / 02

05-08

4 capabilities in this set.

Part of 8 available through Metorial.

  1. 05

    Metorial list traces

    Poll explicit transaction log boundaries tracing MCP capability limits

  2. 06

    Metorial deploy server

    Trigger structural remote serverless provisioning of an MCP Logic matrix seamlessly

  3. 07

    Metorial get trace details

    Deep dive linearly into an explicit execution interaction boundary

  4. 08

    Metorial list servers

    Enumerate the entire array of Serverless MCP bounds hosted inside your Metorial workspace

Observed, not estimated

835ms average. Fast in production.

Metorial is checked daily against the live service.

Daily averagePeak 959ms
Aug 20Today
Fastest day
731ms
Slowest day
959ms
14-day trend
Slowing+6%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 8 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 Metorial, so you can see the experience inside your AI.

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

Metorial Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_u9gVDS60iTHUlTLh8tFcQxn710vU1GGlSnGwhKcw/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 — Metorial capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "metorial-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_u9gVDS60iTHUlTLh8tFcQxn710vU1GGlSnGwhKcw/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 Metorial owners ask.

  • 01

    Can I automatically deploy a new MCP logic container natively using Metorial?

    Yes! Utilize deploy_server explicit limits passing configurations to provision instances dynamically spinning up natively isolated.

  • 02

    Is it possible to track the detailed error bounds of a specific proxy execution?

    Yes! Interrogating the UUID via get_trace_details dumps end-to-end telemetry bounds explicitly isolating variables successfully.

  • 03

    Does the system aggregate LLM latency usage inherently?

    Exactly, call get_usage_metrics declaring explicitly bounding day limits to receive grouped logic matrices seamlessly.

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