What is OsqueryMcpServer CLAUDE.md?

Project instructions for a local Spring Boot service that lets an AI assistant ask an operating-system database called osquery questions in plain language. It also describes an example client using the Model Context Protocol, a standard way for AI tools to communicate with services.

Diagnosing computer problems such as high fan activity or memory use, investigating security concerns, and developing or testing the local osquery service and its example client.

They give an AI coding assistant the project’s purpose, structure, branches, and available tools, so it can work in the repository with the right context.

How kousen/OsqueryMcpServer configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to kousen/OsqueryMcpServer. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/kousen/OsqueryMcpServer/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/kousen/OsqueryMcpServer

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/kousen/osquerymcpserver/claude-md/github.svg)](https://agentmods.dev/instructions/kousen/osquerymcpserver/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/kousen/osquerymcpserver/claude-md"><img src="https://agentmods.dev/badge/instructions/kousen/osquerymcpserver/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/kousen/osquerymcpserver/claude-md"><img src="https://agentmods.dev/badge/instructions/kousen/osquerymcpserver/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 3,059 This file is loaded in full into every session.

When invoked 3,059 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.03059	$0.03059
Opus 5.5	$0.01224	$0.01224
Sonnet 5.5	$0.00612	$0.00612
Haiku 4.5	$0.00306	$0.00306

Measured 2mo ago against content hash f93b8e81f21d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

OsqueryMcpServer CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 322 lines

How it starts

The opening of the file, as written. The whole thing — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Claude AI Assistant Instructions

This document provides context and instructions for AI assistants working on the Osquery MCP Server project.

Project Purpose

The Osquery MCP Server is a Spring Boot application that acts as an intelligent bridge between AI models and the operating system. It translates natural language questions like "Why is my fan running so hot?" or "What's using all my memory?" into precise Osquery SQL queries, enabling AI assistants to diagnose system issues, monitor performance, and investigate security concerns.

The project now includes a complete Spring AI MCP client implementation that demonstrates how to communicate with the server through the Model Context Protocol using Spring AI's auto-configuration.

Key Point: This is NOT a production service exposed to untrusted users. It's designed for local use by AI assistants to help with system diagnostics through natural language interaction.

Bigger Picture: A JavaFX voice client (in ~/Documents/AI/starfleet-voice-interface) transcribes audio and connects to this MCP server. The end goal is Star Trek-style interaction: hold a button, say "Computer, run a level 1 diagnostic," and the MCP server does the work. This makes native image startup time critical — the server needs to respond instantly when the voice client launches it. The all-Java stack (JavaFX client + Spring Boot MCP server + GraalVM native binary) is a key architectural advantage.

Architecture

Spring Boot 4.0.3 with Java 25 (GraalVM CE 25)
Spring AI 2.0.0 for MCP protocol support
Model Context Protocol (MCP) server using Spring AI's MCP starter
STDIO-based communication for integration with Claude Desktop and other MCP tools
GraalVM native image support — ~36ms startup for instant MCP responses
11 specialized diagnostic tools exposed via @Tool annotations
Virtual threads for parallel query execution in getSystemHealthSummary()
ProcessBuilder for robust process management with proper resource handling
Query timeouts: 30 seconds for queries, 5 seconds for version checks
Execution time logging for performance monitoring
Jackson 3 (tools.jackson packages) in the client

Read the full file on GitHub · 322 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 322 lines · 3,059 tokens per session scan A f93b8e81f21d

Subscribe to this mod's changes

OsqueryMcpServer CLAUDE.md is an instructions file published in the GitHub repository kousen/OsqueryMcpServer (15 stars, last pushed 4mo ago), licensed MIT. It adds 3,059 tokens to every session, about $0.0122 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

OsqueryMcpServer CLAUDE.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
OsqueryMcpServer CLAUDE.mdkousen/OsqueryMcpServer	Instructions file	15	4mo ago	MIT	A	3,059	Claude Code
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	today	MIT	A	7,461	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	5,685	GitHub Copilot
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	today	MIT	A	4,680	Codex, OpenCode
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	3,093	GitHub Copilot
vscode model-prompts.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	2,022	GitHub Copilot

OsqueryMcpServer: Instructions file for Claude Code