# Security Infrastructure MCP Server

> Use this tool when you need to integrate natural language interactions with security platforms for streamlined threat intelligence querying and analysis. It enables seamless communication with systems like Splunk SIEM, CrowdStrike EDR, and Microsoft MISP, solving problems of complex threat investigation and incident response. The Security Infrastructure MCP Server takes in natural language inputs and outputs relevant threat intelligence data, ideal for use cases requiring efficient security information management.

Canonical page: https://skillsregistry.net/skills/jmstar85-securityinfrastructure  
JSON: https://api.skillsregistry.net/v1/skills/jmstar85-securityinfrastructure

## Description

A comprehensive implementation of Model Context Protocol servers enabling natural language interactions with security platforms including Splunk SIEM, CrowdStrike EDR, and Microsoft MISP for threat intelligence querying and analysis.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d9tfugllqm)
- **Repository:** <https://github.com/jmstar85/SecurityInfrastructure>

## 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": "jmstar85-securityinfrastructure"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jmstar85-securityinfrastructure` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jmstar85-securityinfrastructure/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