"DNS Doctor" matching MCP servers:

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.

Free Industry 4.0 / IIoT tools, no API key or account: lint MQTT Sparkplug B topics, check a Unified Namespace (UNS) for naming and hierarchy problems, and run an industrial AI-readiness diagnostic for manufacturing digital transformation and smart-factory projects. Works in Claude Code, Codex and any MCP client.

Use your Google AI Pro subscription from Claude Code, Codex, Antigravity and Gemini CLI. Gemini 4 Argon via the Antigravity CLI with no API bill, Deep Research, Google Flow (Veo/Omni) videos of any length, Gemini Notebooks (NotebookLM Audio Overviews), AI Mode, Jules, plus Nano Banana images and Omni Flash video through the Gemini API. One-command setup and a doctor check.

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

Enables AI assistants to generate brandable business names and verify each candidate across TLDs with real registry lookups, ranking results by availability. Also checks individual or bulk domains for registration status, expiry, DNS, email and TLS details via RDAP, WHOIS and DNS probes.

Enables AI coding agents to inspect competition folders, profile tabular datasets, compare train and test distributions, run leakage-safe time/group-aware cross-validated baselines with competition metrics, explain models, and write and validate submissions before upload.

Enables any MCP client to query DeepSeek's web chat, including its built-in live web search, with no separate search API, provider account, or extra cost. Also supports continuing chat sessions, uploading local files as prompt attachments, and automatic token re-harvesting from a logged-in browser profile.

Enables LLMs to generate images via MCP by calling AI models from providers like SiliconFlow, OpenAI, or custom APIs, with tools for image generation and model listing.

Data freshness verification for AI agents. Probes endpoints for HTTP cache staleness, latency percentiles, content fingerprinting, TLS certificate health, DNS timing, and redirect chains. Returns deterministic FRESH/STALE/UNKNOWN JSON verdicts with policy evaluation and NIST AI RMF mapping.

Enables agents to call paid utilities for DNS/SSL checks, site status, summarization, keyphrase extraction, decision advice, data cleanup, claim verification, and grounding via per-call USDC payments over x402, with free discovery tools and no signup or API key.

A local stdio MCP server that provides 69 tools for Cloudflare REST API v4, including DNS, Zones, Workers, KV, R2, D1, Pages, Queues, Tunnels, SSL, WAF, Email Routing, Logpush and Workers AI, authenticated by a single API token.

A standalone MCP server that brings complete data science capabilities to AI assistants, enabling them to load data, train models, and track experiments through natural language.

A comprehensive MCP server for Dataiku DSS integration, providing Claude Code with direct access to manage recipes, datasets, and scenarios.

Full-stack utility API with 337+ tools including AI chat, web scraping, weather, finance, SEO, crypto, colors, readability, DNS, and more — all through a single MCP server. Pay-as-you-go credits, no API keys needed.

GadgetHumans MCP offers 58 tools across 8 categories—AI, weather, crypto, web scraping, code, DNS, SEO, and data—via a single HTTP endpoint, with no API keys and a free tier. It enables any MCP client to access these utilities through natural language.

Provides access to an AI medical chatbot API for healthcare assistance, enabling natural language interactions such as neurosurgery queries.

Enables operating Dataiku DSS projects, datasets, and Agent tools from any MCP client over Streamable HTTP, with read-only by default and secure bearer-token authentication.

Enables privacy-first medical document analysis with multi-perspective AI review. Ingest documents, run consilium reviews, generate doctor letters, and search patient memory—all through natural language.

Exposes 21 tools that drive a CBB extraction pipeline end to end: starting and monitoring runs, pulling next requests and replying, building and linting boxes, running wiring/id-source/acceptance gates, and routing model calls with stats and policy. It also supports human adjudication — lexicon approval, superseding records, conflict resolution and quarantine rulings — plus doctor, capabilities and smoke diagnostics.

Provides a unified MCP interface to manage Cloudflare services including DNS, compute (Workers, KV, D1), storage (R2), AI, security, Radar, and a universal API gateway for any Cloudflare v4 endpoint.

A foundational implementation of a Model Context Protocol (MCP) server designed for educational purposes. It demonstrates the complete interaction between an LLM, an inference engine, and a client during an agentic call.

Exposes 11 diagnostic tools to AI assistants, enabling them to check GPU/CUDA compatibility, assess AI model fit, and validate Dockerfiles for GPU issues through natural language.

Exposes diagnostic tools to AI assistants so they can inspect GPU, driver, CUDA, cuDNN, and Python library compatibility, assess whether AI models fit available hardware, and validate Dockerfiles for GPU issues.

Automates image analysis and coordinate-level visual reasoning through DeepSeek's web interface, with multi-round voting, image comparison, and follow-up Q&A via MCP tools.

Enables AI assistants to audit project health, profile data, detect schema drift, and auto-generate documentation for dbt projects through natural language. It also provides coverage scoring, test suggestions, and safe schema.yml updates via MCP.

Self-hosted ML inference MCP server providing embeddings and summarization tools using sentence-transformers and Ollama, with low-latency preloaded models and API-key authentication.

Enables AI assistants to run GPU/CUDA environment diagnostics, check hardware and software compatibility, get safe install commands, and validate Dockerfiles for GPU issues through natural-language requests.

Enables AI assistants to invoke GPU/CUDA diagnostics for checking driver, toolkit, cuDNN, Python-library compatibility, model fit, Dockerfile GPU issues, and safe install commands.

Enables understanding local or network images via ZhipuAI's free vision model (glm-4.6v-flash), returning Chinese descriptions or answers to questions. Supports multiple images for comparison and optional model switching.

Enables users to run and inspect local prompt-regression evaluations over six labeled fictional outreach cases, comparing a baseline and candidate prompt and reviewing per-case checks, failures, token usage, and stored run records. Exposes four local stdio tools (list_cases, run_demo, list_runs, get_run) for reviewing evidence before a human release decision, without granting paid live runs, file access, shell commands, or release approval.

Provides vision capabilities to Reasonix, enabling analysis of images/videos, OCR, and comparisons via OpenAI-compatible vision models.

A local, containerized MCP server that uses a local LLM to sanitize documents by removing or transforming PII before content is sent to public LLM services.

Enables MCP clients to send prompts, continue or edit conversations, and list, read, rename, pin, or delete chats via a locally running bridge to a signed-in browser session.