# com.tip4serv/mcp-server

> Use this tool when you need to manage Tip4Serv from a large language model (LLM) interface, solving problems related to remote server control and automation. It provides core functionality for sending commands and receiving outputs, allowing for seamless interaction with the Tip4Serv system. Ideal for use cases requiring programmatic control and monitoring of Tip4Serv from an LLM.

Canonical page: https://skillsregistry.net/skills/com-tip4serv-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/com-tip4serv-mcp-server

## Description

Monetize and manage your Tip4Serv store directly from your LLM.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-07-06

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.tip4serv%2Fmcp-server)

## Use it

MCP endpoint published by the skill: `https://mcp.tip4serv.com`

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": "com-tip4serv-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-tip4serv-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-tip4serv-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