Building an MCP Server in Python for Linux Network Diagnostics

·4 views

Large language models can explain Linux networking concepts but cannot inspect a live machine's interfaces, tunnels, or packet drops. The Model Context Protocol offers a standard way to expose local tools to clients such as Claude Desktop, Cursor, or custom agents. The article walks through building an async Python MCP server with a FastAPI REST endpoint that reads live metrics for interfaces like eth0, wlan0, tun0, and wg0. It uses Pydantic v2 models to return structured, predictable output rather than raw shell text, and flags issues such as high packet drop counts and oversized tunnel MTUs. The setup requires Python 3.12+, a Linux environment, and the uv package manager.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Cloudflare retires 24 Workers AI models on November 20, 2026

Cloudflare will stop serving 24 Workers AI models on November 20, 2026, covering 16 text-generation models plus eight models for image generation, speech, transcription, vision and embeddings. Requests to the retired models will return HTTP 410 Gone with error code 5028, and Cloudflare has not said that traffic will be automatically redirected to a newer model. For most text models the company suggests general-purpose replacements rather than one-to-one mappings, while the other eight models each have a named successor. Embedding users face the most difficulty, since the replacement embedding model was not yet available when the notice was posted, and vectors from different embedding models are generally not directly comparable. A smaller change also takes effect: Durable Objects will now retry failed calls by default.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Ahmedabad student's restaurant software models orders as shared state transitions

A Computer Engineering student in Ahmedabad is building RestaurantOS, a restaurant operations product from his company Nirvaan Tech. The system links the owner, waiter, kitchen, and cashier around a single order that moves through a defined sequence from placement to payment. The author says the main challenge was defining which role may change an order and when, rather than the interface itself. Instead of separate dashboards, each order is treated as a state machine in which each role can only advance it according to its responsibilities. The author is asking other developers in logistics, healthcare, and similar fields for feedback on where this approach may fail.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Kubernetes 1.35 in-place memory resize may not need a restart on ZGC and Shenandoah

A common recommendation is to set resizePolicy to RestartContainer for memory on every JVM container in Kubernetes 1.35. The author argues this is right for raising the heap ceiling, which is fixed by -Xmx at startup, but not for shrinking and regrowing within a ceiling chosen at launch. In their Linux container tests on ZGC and Shenandoah, a container's limit dropped from 900 MB or 700 MB to 300 MB without a restart, provided the JVM released memory first. Lowering the limit before the JVM released memory caused OOM kills every time. The author notes that the ZGC and Shenandoah SoftMaxHeapSize flag, which can be changed at runtime, makes this approach possible. The tests were run on Eclipse Temurin 21 with Docker Desktop using cgroup v2, which is a simulation rather than a full kubelet-driven pod resize.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Amblyotube: 메타 퀘스트 앱, 영상 시청하며 약시 양안 훈련

Seven Sports가 개발한 Amblyotube는 메타 퀘스트용 앱으로, YouTube 스타일 영상을 보면서 양쪽 눈에 서로 다른 시각 자극을 제공한다. 우세안에는 조절 가능한 디지털 블러가 적용되고, 약시안에는 AI가 사람 형상을 감지해 윤곽선과 점멸 효과로 주의를 끌어올린다. 앱은 logMAR 시력 검사를 내장해 측정 결과로 치료 프로필을 갱신하며, 양안 협응과 깊이 지각 개선을 목표로 한다. 다만 개발사는 이를 진단이나 치료 도구가 아닌 보조 훈련 도구로 규정하며, 만 13세 이상을 대상으로 하루 30~40분, 최대 1시간 사용을 권장한다. 시각 증상이 있다면 먼저 안과 전문의와 상담할 것을 강조한다.

0 comments Read more at DEV Community