# Sigma MCP Server

> Use this tool when you need to validate and configure Sigma detection rules for AI-powered threat detection, providing a centralized server for managing validator configurations and testing rules against multiple validators, with inputs including Sigma rules and validator settings, and outputs including validation results and optimized configurations. It solves problems related to rule effectiveness and compatibility, streamlining the development and deployment of detection rules. Ideal for use cases involving AI-driven security operations and threat hunting.

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

## Description

An MCP server that provides Sigma rule validation and configuration capabilities for AI assistants. It enables users to validate Sigma detection rules against various validators and manage validator configurations through MCP tools and resources.

## 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:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d3ab1kr09a)
- **Repository:** <https://github.com/SigmaHQ/sigma-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": "sigmahq-sigma-mcp-server"
    }
  }
}
```

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