# osqueryi-mcp

> osqueryi-mcp — mdfranz-osqueryi-mcp. Use this tool when you need to manage and query osquery instances on a local machine, solving problems related to system monitoring and logging. It provides a simple STDIO-based interface for sending queries and receiving results, accepting osquery queries as input and outputting log data. Ideal for use cases requiring local system introspection and debugging, such as troubleshooting system issues or monitoring system performance.

Canonical page: https://skillsregistry.net/skills/mdfranz-osqueryi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mdfranz-osqueryi-mcp

## Description

Simple Local STDIO MCP Server

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/mdfranz/osqueryi-mcp)

## 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": "mdfranz-osqueryi-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mdfranz-osqueryi-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mdfranz-osqueryi-mcp/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