# TigerData Pulumi MCP Server

> TigerData Pulumi MCP Server — thesurfingcoder-tigerdata-pulumi-mcp-server. Use this tool when you need to automate management of TigerData Cloud services, such as creating, listing, and deleting TimescaleDB services, through a natural language interface. It solves problems of manual service management and provides an efficient way to interact with cloud services using Pulumi automation. The tool accepts natural language inputs and outputs managed TimescaleDB services, making it ideal for streamlining cloud operations and deployments.

Canonical page: https://skillsregistry.net/skills/thesurfingcoder-tigerdata-pulumi-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/thesurfingcoder-tigerdata-pulumi-mcp-server

## Description

An MCP server for managing TigerData Cloud services via Pulumi automation, enabling operations like creating, listing, and deleting TimescaleDB services through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wlh6p9dxnm)
- **Repository:** <https://github.com/TheSurfingCoder/tigerdata-pulumi-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": "thesurfingcoder-tigerdata-pulumi-mcp-server"
    }
  }
}
```

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

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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