Pulumi MCP Server for Windsurf 11 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Pulumi through 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 Pulumi and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"pulumi": {
"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 Pulumi MCP Server
Connect your Pulumi account to any AI agent and take full control of your infrastructure-as-code through natural conversation.
Windsurf's Cascade agent chains multiple Pulumi tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 11 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Organization Discovery — List organizations and retrieve their details, team settings and member info
- Stack Management — List, create and delete stacks (infrastructure environments) across all your projects
- Deployment Tracking — Monitor stack update history with status (succeeded, failed, in-progress), resource changes and error logs
- Output Inspection — View exported output values from the latest deployment (URLs, IPs, resource IDs)
- Tag Management — List and set custom tags on stacks for organization and filtering (environment, team, cost-center)
The Pulumi MCP Server exposes 11 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 Pulumi to Windsurf via MCP
Follow these steps to integrate the Pulumi 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 Pulumi
Open Cascade and ask: "Using Pulumi, help me...". 11 tools available
Why Use Windsurf with the Pulumi MCP Server
Windsurf provides unique advantages when paired with Pulumi 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 11 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Pulumi + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Pulumi MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Pulumi and generate models, types, or handlers based on real API responses
Live debugging: query Pulumi tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Pulumi and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Pulumi data with Cascade's code generation to scaffold entire features in minutes
Pulumi MCP Tools for Windsurf (11)
These 11 tools become available when you connect Pulumi to Windsurf via MCP:
create_stack
A stack is an isolated, independently configurable instance of your Pulumi program. Requires the org name, project name and stack name (e.g. "staging", "prod"). Returns the created stack with its URL. Create a new Pulumi stack
delete_stack
The stack must be empty (no resources) or force deletion must be enabled. Provide the org name, project name and stack name. WARNING: this action is irreversible. Delete a Pulumi stack
get_current_user
Returns the user's GitHub login, avatar URL, email and name. Use this to verify your access token is working correctly and to see which identity the API calls will appear as. Get the currently authenticated Pulumi user
get_deployment
Provide the org name, project name, stack name and deployment version number. Get details for a specific Pulumi deployment
get_organization
Provide the organization name (slug). Get details for a specific Pulumi organization
get_stack
Provide the org name, project name and stack name. Get details for a specific Pulumi stack
get_stack_outputs
Outputs are values your Pulumi program exports, such as URLs, IP addresses, resource IDs and connection strings. Useful for discovering endpoint addresses and configuration values after infrastructure deployment. Get the exported output values from a Pulumi stack
list_deployments
Each deployment shows its version number, status (succeeded, failed, in-progress), start/end time, resource changes (created, updated, deleted) and the user who triggered it. Use this to audit infrastructure changes and track deployment success/failure patterns. List deployment history for a Pulumi stack
list_stack_tags
Tags are key-value metadata labels used for organizing, filtering and managing stacks (e.g. environment=prod, team=platform, cost-center=engineering). List tags on a Pulumi stack
list_stacks
Each stack represents an isolated, independently configurable instance of your infrastructure (e.g. dev, staging, prod). Returns stack name, project name, last update info, resource count and whether updates are in progress. List all stacks in a Pulumi organization
set_stack_tag
Tags are used for organizing, filtering and managing stacks (e.g. key="environment", value="prod", key="team", value="platform"). Provide the org name, project name, stack name, tag name and tag value. Set a tag on a Pulumi stack
Example Prompts for Pulumi in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Pulumi immediately.
"Show me all stacks in my organization."
"What was the result of the latest deployment to my-infra/prod?"
"Show me the exported outputs from the prod stack."
Troubleshooting Pulumi MCP Server with Windsurf
Common issues when connecting Pulumi to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Pulumi + Windsurf FAQ
Common questions about integrating Pulumi 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 Pulumi with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Anthropic's agentic CLI for terminal-first development.
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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 Pulumi to Windsurf
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.