Modal (Serverless AI Infrastructure) MCP Server for Windsurf 7 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Modal (Serverless AI Infrastructure) through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
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Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Modal (Serverless AI Infrastructure) and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"modal-serverless-ai-infrastructure": {
"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 Modal (Serverless AI Infrastructure) MCP Server
Connect your Modal account to any AI agent and take full control of your high-performance AI infrastructure, serverless GPU deployments, and persistent storage through natural conversation.
Windsurf's Cascade agent chains multiple Modal (Serverless AI Infrastructure) tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 7 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- App Orchestration — List isolated active and historical Modal app contexts to track function execution states and resource allocation directly from your agent
- Deployment Management — Enumerate promoted long-running deployments and retrieve detailed web endpoints and serving configurations securely
- Operational Control — Force stop actively running Modal app executions gracefully via App ID to prevent unnecessary billing cycles and manage system resources natively
- Security & Secret Audit — List stored secret dictionary references and verify environment variable mappings attached to your serverless functions securely
- Storage Visibility — Monitor persisted disk network block volumes and data mount directories used across your distributed compute instances
- Infrastructure Inspection — Deep-dive into specific App or Deployment IDs to retrieve precise JSON metadata representing your infrastructure's current state vectors
The Modal (Serverless AI Infrastructure) MCP Server exposes 7 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 Modal (Serverless AI Infrastructure) to Windsurf via MCP
Follow these steps to integrate the Modal (Serverless AI Infrastructure) 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 Modal (Serverless AI Infrastructure)
Open Cascade and ask: "Using Modal (Serverless AI Infrastructure), help me...". 7 tools available
Why Use Windsurf with the Modal (Serverless AI Infrastructure) MCP Server
Windsurf provides unique advantages when paired with Modal (Serverless AI Infrastructure) 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 7 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Modal (Serverless AI Infrastructure) + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Modal (Serverless AI Infrastructure) MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Modal (Serverless AI Infrastructure) and generate models, types, or handlers based on real API responses
Live debugging: query Modal (Serverless AI Infrastructure) tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Modal (Serverless AI Infrastructure) and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Modal (Serverless AI Infrastructure) data with Cascade's code generation to scaffold entire features in minutes
Modal (Serverless AI Infrastructure) MCP Tools for Windsurf (7)
These 7 tools become available when you connect Modal (Serverless AI Infrastructure) to Windsurf via MCP:
get_app
Get static specifics of an exact Modal App ID
get_deployment
Get an explicitly tracked deployment detail mapped bound
list_apps
List isolated active/historical Modal Apps contexts
list_deployments
List strictly managed Modal platform explicitly promoted deployments
list_secrets
List static secret dictionary configuration references
list_volumes
List Modal persisted disk network block volumes
stop_app
Force stop an actively running explicit Modal App execution
Example Prompts for Modal (Serverless AI Infrastructure) in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Modal (Serverless AI Infrastructure) immediately.
"List all active Modal apps running in my account"
"Force stop Modal app ID 'ap-123'"
"Show me all persistent volumes configured in my workspace"
Troubleshooting Modal (Serverless AI Infrastructure) MCP Server with Windsurf
Common issues when connecting Modal (Serverless AI Infrastructure) to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Modal (Serverless AI Infrastructure) + Windsurf FAQ
Common questions about integrating Modal (Serverless AI Infrastructure) 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 Modal (Serverless AI Infrastructure) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
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 Modal (Serverless AI Infrastructure) to Windsurf
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.