Metorial MCP Server for Windsurf 8 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Metorial through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Metorial and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"metorial": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Metorial MCP Server
What you can do
Bridge pure observability limits natively managing serverless AI tools via the strict Metorial infrastructure platform:
Windsurf's Cascade agent chains multiple Metorial tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 8 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
- Deploy Serverless Proxies provisioning active matrix instances mapping node parameters explicitly into zero-scale paths
- Monitor Traces Natively extracting end-to-end telemetry schemas tracking step-by-step logic
- Discover Active Deployments explicitly grouping remote servers tracking health status boundaries
- Invoke Remote Capabilities explicitly running tool schemas hosted safely isolated inside Metorial bounds
- Analyze Token Usage metrics computing organizational latency tracking and payload limits safely
- Decommission Endpoints safely extracting footprints terminating idle servers without logic panics
The Metorial MCP Server exposes 8 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Metorial to Windsurf via MCP
Follow these steps to integrate the Metorial MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Metorial
Open Cascade and ask: "Using Metorial, help me..." — 8 tools available
Why Use Windsurf with the Metorial MCP Server
Windsurf provides unique advantages when paired with Metorial through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows — Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 8 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Metorial + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Metorial MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Metorial and generate models, types, or handlers based on real API responses
Live debugging: query Metorial tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Metorial and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Metorial data with Cascade's code generation to scaffold entire features in minutes
Metorial MCP Tools for Windsurf (8)
These 8 tools become available when you connect Metorial to Windsurf via MCP:
metorial_delete_server
Dismantle logical server parameters mapping natively
metorial_deploy_server
Trigger structural remote serverless provisioning of an MCP Logic matrix seamlessly
metorial_get_server_status
Check explicit logical health matrices protecting a hosted node
metorial_get_trace_details
Deep dive linearly into an explicit execution interaction boundary
metorial_get_usage_metrics
Aggregate explicitly cost matrix boundaries and latency tracking natively
metorial_invoke_server_tool
Command interaction executions explicitly routed to the serverless container node
metorial_list_servers
Enumerate the entire array of Serverless MCP bounds hosted inside your Metorial workspace
metorial_list_traces
Poll explicit transaction log boundaries tracing MCP tool limits
Example Prompts for Metorial in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Metorial immediately.
"List all explicitly active MCP server deployments spanning natively onto the Metorial Serverless cloud."
"Trace granular execution logic of my last proxy run extracting explicit metrics via Metorial telemetry limits."
"Spawn naturally a fresh container instance deploying logic to Metorial binding explicit organizational params."
Troubleshooting Metorial MCP Server with Windsurf
Common issues when connecting Metorial to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Metorial + Windsurf FAQ
Common questions about integrating Metorial MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Metorial with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Metorial to Windsurf
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.