# Pulumi MCP Server

> Use this tool when you need to manage cloud infrastructure using Pulumi, as it enables AI assistants to run commands like preview, deploy, and stack output retrieval through the Model Context Protocol. This tool solves problems related to automating cloud resource management and deployment, providing a programmatic interface for inputs like Pulumi commands and outputs like stack configurations. It is ideal for use cases where automated cloud infrastructure management is required, allowing for efficient and scalable deployment of cloud resources.

Canonical page: https://skillsregistry.net/skills/venelinmartinov-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/venelinmartinov-mcp-server

## Description

Enables AI assistants to manage cloud infrastructure using Pulumi by running commands like preview, deploy, and stack output retrieval through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e7p8amcnw2)
- **Repository:** <https://github.com/VenelinMartinov/mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "venelinmartinov-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/venelinmartinov-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/venelinmartinov-mcp-server/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
