"DNS Doctor" matching MCP servers:

Fallout 4 crash log diagnosis tool for MCP clients. Analyzes crash logs, load order, and game environment to explain crashes and suggest fixes.

Renders HTML in a headless browser and detects layout defects numerically, such as text overlaps, placeholder leftovers, and element overflow, without requiring baseline images.

Enables LLM agents to retrieve live, accurately labeled data from DNS (dns-shop.ru) — city-specific pricing, product search with filters, ratings, reviews, store stock, and price history — while avoiding common data misinterpretations.

Finds slow pandas code (iterrows loops, row-wise apply, concat in a loop), runs a rewrite on the same data to check the result is identical, and measures the speedup. Tools: check_code, verify_rewrite, list_rules.

Enables diagnosing why pages aren't indexed in Google Search Console by inspecting all URLs from a sitemap, grouping them by coverage state, and providing plain-language guidance.

Enables AI assistants to diagnose and fix iOS app issues that cause App Store rejections, such as missing privacy manifests, permission strings, and test credentials, before submission.

Health doctor for a home AI stack (Ollama nodes, GPUs, tailnet) with graded confidence, as a CLI, an MCP server and a DSH plugin.

Provides Claude Code with access to peer-reviewed medical information from MedlinePlus and StatPearls, and acts as an unlicensed diagnostic medical expert for educational purposes.

Model Context Protocol (MCP) server for deep DNS resolution, nameserver propagation, and DNSSEC validation

A read-only MCP server that exposes AI Disk Doctor Core's scan, model inventory, and history tools via local stdio, with no mutation or shell capabilities.

An MCP server that lets AI clients search and retrieve Doctor of Credit articles, categories, and deals via flexible tools, interpreting article content at request time.

Local Dev Doctor turns an unfamiliar development checkout into an evidence-backed diagnosis. It discovers how the project is meant to run, checks safe prerequisites, and executes only the exact probe that a user approves.

Evidence-backed, read-only codebase diagnostics for coding agents: secrets, dependency, RLS, and source-impact audits with a verify loop and PR review verdicts. Never writes files or uses the network by default.

Diagnoses why a FiveM server or resource is broken by scanning local configs, manifests, and logs, returning ranked findings with evidence. It can also propose and apply low-risk text fixes when enabled.

Provides health checks, binary validation, and auto-repair for MCP configurations in Claude Desktop, Cursor, and Cline.

Enables querying DNS Shop product data via MCP: search, product details, reviews, specifications, variants, categories, brand catalogs, availability by city, and store listings.

Enables AI agents to diagnose broken XAMPP/WAMP localhost stacks by inspecting real machine state — running processes, listening ports, HTTP probes, and Apache/MySQL error logs — to pinpoint port conflicts, startup crashes, unclean-shutdown damage, and zombie processes with plain-English explanations. All diagnostics are read-only, so agents can safely answer questions like why Apache won't start or why localhost refuses to connect instead of guessing.

Comprehensive DNS security toolkit for AI agents: 103 tools across 13 categories including DNSSEC validation, subdomain takeover detection, email security audit, and more, all running locally with no external API calls required.

Provides MCP resources and tools that expose runtime JVM process info, startup flags, properties, and consolidated thread dumps with deadlock detection so an LLM can diagnose live JVM issues.

Enables read-only inspection of common macOS developer cache sizes and discovery of large files within allowlisted directories, without modifying files.

MCP Server for extracting Time Doctor time tracking data via AI assistants.

A tiny Hermes-friendly bridge that exposes oh-my-pi's CLI as MCP tools (prompt and doctor) for code generation and environment verification.

Enables an MCP client to inspect a local Python project directory, reporting its package-manager signals, local Python environment, and available tooling. It also runs Ruff lint and formatting checks and returns the outcomes as structured results, without modifying the project or installing dependencies into it.

MCP server that produces scored, evidence-cited audits of public GitHub repos via tools for fetching metadata, reading files, scanning git history, and checking hygiene.

Provides AI coding agents with structured, deterministic repository intelligence—file tree, dependencies, hotspots, and git history—via Model Context Protocol, enabling them to understand codebases without reconstructing architecture from scratch.

Enables auditing OpenClaw's loaded skills for per-step token cost, shadowed duplicates, broken references, and budget overruns, then produces a measured plan to trim or hide expensive skills and archive unused duplicates.

Enables AI assistants to validate Pakistan FBR Digital Invoicing invoice payloads offline, safely interpret FBR responses, explain error codes in plain English, list sandbox scenarios, and produce simulated sandbox responses. It is read-only and makes no network calls, so integration checks stay on the local machine.

MCP server for CDN source origin tracing and IP intelligence, enabling DNS resolution, CNAME tracking, C-segment scanning, web fingerprinting, and host collision detection for asset reconnaissance.

Enables agents to diff inventory snapshots from CSV files or live Shopify stores, surfacing SKU mismatches, oversell risks, blank-vs-zero issues, barcode conflicts, and sync health, with data processed locally.

Provides MCP tools to profile and optimize LLM conversation context, identifying token waste and applying deterministic fixes to reduce context window usage.

Enables AI to inspect macOS memory, storage, and optional hardware status, then plan cleanup actions that a user must confirm and that can be quarantined and rolled back.

Diagnoses proxy misconfigurations that break AI coding tools like Cursor, VS Code, and Windsurf.

An MCP server that audits installed MCP servers, revealing their credentials, tool capabilities, and security risks. It enables users to assess and monitor the access granted to AI models.

Enables agents to inspect and diagnose their own MCP setup by exposing read-only tools that audit configured servers, report which coding agents have configs, surface misplaced or duplicated registrations, and list curated preset packs. It also powers CLI workflows for checking handshake, tool lint, and tool-surface quality scores of any stdio server.

Enables reading agent-made changes in context by capturing Git diffs with verified task context, ordering every change into reading blocks, and recording versioned feedback so corrections can be steered with a short instruction. Exposes these capabilities as MCP tools alongside an optional loopback-only web review viewer.

Enables AI agents to monitor, trace, query, and manage local DNS resolver chains using MCP, with health checks, packet tracing, Pi-hole log access, and automated failover via natural language.

Enables developers to inspect port occupancy with process details, scan common development ports, and terminate processes blocking a specified port via MCP tools.

Enables recording a baseline of an installed MCP server fleet and repeatedly re-measuring it, so you can see which servers died, whose tool lists silently grew, and which launch configs carry risks like plaintext secrets, unpinned packages, or unsafe flags. Returns a scored report with an ordered, actionable list of findings, without ever editing your configs.

Enables secure local proofreading of Korean official documents (.hwpx/.hwp) using 3-layer AI correction for spelling, grammar, and official document style. Provides 50 administrative document templates for generating standardized official correspondence without cloud dependencies or API keys.

An MCP server that audits a project for documentation, rules, skills, and knowledge artifacts, compares against a reference concept catalog, and generates a prescription plan with frontmatter todos to guide creation of missing or incomplete elements.