Metorial Connector for AI agents.
8 live capabilities
Scale and monitor production AI infrastructure with serverless observability.
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Why people use Metorial
Metorial for AI Infrastructure: Solving the Scaling Bottleneck
Metorial changes that by providing a dedicated serverless home for your agent logic. You can deploy your Connector configuration to a managed mesh, where it scales automatically. Instead of manual babysitting, you get a single source of truth for your agent's health and performance.
What Vinkius changes
That Metorial turns your agent's backend into a scalable, observable production environment.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Scaling a customer support bot
An engineer uses metorial_deploy_server to handle 10k concurrent requests without crashing the local environment.
- Real-world use case 02
Debugging a failing agent
A developer uses metorial_get_trace_details to find out why a specific capability call failed during a production run.
- Real-world use case 03
Cost auditing for marketing
A manager uses metorial_get_usage_metrics to see which department is spending the most on AI tokens.
Complete set · 8capabilities
The complete Metorial capability set.
These are the exact actions your AI can choose when you ask it to work with Metorial.
01—04
4 capabilities in this set.
Part of 8 available through Metorial.
- 01 Capability
Metorial list traces
Polls the transaction logs for capability limits. Use this to see a history of agent interactions.
- 02 Capability
Metorial delete server
Removes a specific server's parameters from the platform. Use this to clear out old deployments.
- 03 Capability
Metorial deploy server
Provisions a new serverless MCP logic matrix. This is how you launch your agent's backend.
- 04 Capability
Metorial get server status
Checks the health and status of a hosted node. Use it to ensure your agent is online.
05—08
4 capabilities in this set.
Part of 8 available through Metorial.
- 05 Capability
Metorial get trace details
Shows a deep dive into a specific execution boundary. This helps you debug exactly what happened.
- 06 Capability
Metorial get usage metrics
Pulls your cost matrix and latency data. Use this to track how much your agents are costing you.
- 07 Capability
Metorial invoke server capability
Runs a capability command inside a serverless container. This lets your agent perform actions in isolation.
- 08 Capability
Metorial list servers
Shows every serverless MCP bound in your workspace. Use it to see what's currently running.
Set up in minutes
One URL. Then ask Metorial to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Metorial 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_u9gVDS60iTHUlTLh8tFcQxn710vU1GGlSnGwhKcw/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 Metorial, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Metorial for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_u9gVDS60iTHUlTLh8tFcQxn710vU1GGlSnGwhKcw/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 Metorial URL.
- Step 03
Save and start
Save the connection and enable Metorial in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"metorial": {
"url": "https://edge.vinkius.com/vk_preview_u9gVDS60iTHUlTLh8tFcQxn710vU1GGlSnGwhKcw/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 Metorial
Open Agent mode in chat and ask: "Using Metorial, help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"metorial": {
"url": "https://edge.vinkius.com/vk_preview_u9gVDS60iTHUlTLh8tFcQxn710vU1GGlSnGwhKcw/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 Metorial
Ask Copilot: "Using Metorial, help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"metorial": {
"url": "https://edge.vinkius.com/vk_preview_u9gVDS60iTHUlTLh8tFcQxn710vU1GGlSnGwhKcw/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 Metorial
Open Cascade and ask: "Using Metorial, help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"metorial": {
"url": "https://edge.vinkius.com/vk_preview_u9gVDS60iTHUlTLh8tFcQxn710vU1GGlSnGwhKcw/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 Metorial
Ask Cline: "Using Metorial, help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add metorial --transport http "https://edge.vinkius.com/vk_preview_u9gVDS60iTHUlTLh8tFcQxn710vU1GGlSnGwhKcw/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 Metorial
Ask Claude: "Using Metorial, show me...". 8 tools are ready
Where the request belongs
Work Metorial can move forward.
Platform engineers who are tired of manual scaling and AIOps architects who need to justify AI costs to the C-suite.
Platform Engineer
Provisioning production-ready MCP environments for internal teams to use without managing raw hardware.
AIOps Architect
Monitoring token spend and latency across multiple agentic workflows to ensure ROI.
Systems Architect
Designing scalable serverless proxy layers for high-traffic AI capabilities that require strict isolation.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Dynatrace (APM and Observability)
Monitor and manage your Dynatrace environment. query metrics, track problems, manage entities, and automate observability workflows directly from your AI agent.
Datadog
Monitor infrastructure, applications, and logs with unified observability that gives you full-stack visibility in real time.
Guance Cloud / 观测云
Modern observability platform. manage monitors, dashboards, and events via AI.
AppDynamics (Application Performance Monitor API)
Monitor application performance, business transactions, and infrastructure health rules directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep Metorial 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 Metorial.
The practical details behind the request, access and result.
What does Metorial do for my AI agents?
Metorial provides the infrastructure to host, scale, and monitor your AI agents. It moves your logic from a local environment to a managed serverless mesh where you can track performance and costs in real time.
Can I use Metorial to scale my Connector capabilities?
Yes, that is a primary use case. It allows your agents to handle high traffic by provisioning serverless proxies that scale automatically as demand increases.
How does Metorial help with AI cost management?
It provides explicit usage metrics. You can see exactly how many tokens your agents are consuming and identify which workflows are the most expensive.
Is Metorial good for debugging complex agent workflows?
It is excellent for debugging. It captures end-to-end telemetry and execution traces, so you can see exactly where an agent failed and what the logic was at that moment.
Can I run my agent capabilities in a secure environment?
Yes, Metorial allows you to run capability interactions inside isolated serverless containers. This keeps your core data safe while your agent performs external actions.
How do I see the health of my deployed agents?
You can query the status of your hosted nodes directly. This tells you if your agent is online, healthy, or if it needs attention.
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.
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.
Does the system aggregate LLM latency usage inherently?
Exactly, call get_usage_metrics declaring explicitly bounding day limits to receive grouped logic matrices seamlessly.
One connection away
Give your agent a direct line to Metorial.
Connect Metorial once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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