# io.github.danioni/servicialo

> Use this tool when you need to automate professional service delivery through AI agents, solving problems such as streamlined workflow management and standardized communication protocols. It provides an open protocol for inputting service requests and outputting customized solutions, enabling efficient interaction between humans and AI systems. Ideal for use cases requiring scalable and flexible service delivery frameworks.

Canonical page: https://skillsregistry.net/skills/io-github-danioni-servicialo  
JSON: https://api.skillsregistry.net/v1/skills/io-github-danioni-servicialo

## Description

Open protocol for professional service delivery via AI agents

## Trust

- **Trust score (0–1):** 0.57
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.5.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.danioni%2Fservicialo)
- **Repository:** <https://github.com/servicialo/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": "io-github-danioni-servicialo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-danioni-servicialo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-danioni-servicialo/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