# MCP SOP Server

> Use this tool when you need to efficiently retrieve Standard Operating Procedures (SOPs) using semantic search, particularly with Italian language support. It solves the problem of quickly finding relevant SOPs within large categorized collections, leveraging advanced technologies like ChromaDB and RAG. Ideal for use cases requiring intelligent document retrieval, this tool provides AI agents with accurate and context-specific SOP results.

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

## Description

Enables AI agents to search and retrieve Standard Operating Procedures using semantic search with Italian language support, powered by ChromaDB and RAG for intelligent document retrieval from categorized SOP collections.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oyv55r8nbe)
- **Repository:** <https://github.com/dadapera/mcp-sop-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": "dadapera-mcp-sop-server"
    }
  }
}
```

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