"Automating guard duty alert validation and reporting process" matching MCP servers:

Read-only MCP server exposing client dashboard data (client series and reports) from Supabase, allowing live natural language queries about any client.

Enables querying Rick and Morty characters, locations, and episodes using the Rick and Morty API with no authentication required.

A Python-based Model Context Protocol server that allows AI assistants like Claude to access and query your movie and TV show collection via Radarr and Sonarr APIs.

An MCP server that enables AI assistants to manage your Radarr movies and Sonarr TV shows, including search, add, delete, monitor, and grab releases.

Enables users to find podcasts by topic or Apple Podcasts/RSS links and retrieve host and owner contact details, episode cadence, recent guests, associated companies, and contact or guest-pitch pages, with one result row per show.

Enables users to search movies and actor profiles, discover soundtracks, and generate curated Spotify playlists, with full playback control and playlist management through natural language.

Enables browsing Hacker News feeds, retrieving stories and flattened comment threads by id, full-text and date-filtered story search, and user profile lookups through five read-only tools backed by the Firebase and Algolia APIs. Comment trees are returned breadth-first with explicit truncation reporting so results stay useful when caps are hit.

Exposes public YouTube data — transcripts with timestamps and language listings, keyword search, video metadata and statistics, comments, channels, channel uploads, and categories — as read-only tools an LLM can call over stdio. It runs as a single local process using only a YouTube Data API key, with SQLite caching, quota tracking, and no OAuth or account access.

Lets Claude write and run short JavaScript programs against the YouTube Data, Analytics, and Reporting APIs, plus transcripts and search autocomplete, so multi-step channel tasks like joining upload stats with analytics finish in a single round trip. Code executes in a sandboxed isolate with quota tracking and confirmation gates for destructive or public actions.

Enables fetching YouTube video transcripts from any URL without API keys, browser, or OAuth, with honest error reporting for missing transcripts and support for multiple languages, formats, and resilient provider fallbacks.

Enables an AI assistant to query the full YouTube Analytics, Data v3, and Reporting API surface for one or multiple channels you own, with unrestricted parameters, local OAuth handling, and large-result output to files.

Provides a comprehensive movie booking experience for AMC Theatres, enabling users to discover movies, find showtimes, select seats, and process payments through conversational AI. Supports multi-location theater search with real-time seat availability and booking management.

Enables fetching YouTube video transcripts in various formats via the Model Context Protocol, allowing LLMs to access and process YouTube video transcripts securely.

Enables conversational AI assistants to help users discover movies, find showtimes, book seats, and process payments for AMC Theatres through a simple API interface.

A comprehensive MCP server integrating YouTube Data, Analytics, and Reporting APIs, providing 40 tools for channel management, analytics, video publishing, transcripts, SEO, and comments.

Provides a comprehensive movie booking experience for AMC Theatres, enabling conversational AI assistants to help users discover movies, find showtimes, book seats, and process payments.

Agent-first YouTube Shorts uploader with dry-run validation, OAuth checks and synthetic-media metadata.

Provides comprehensive access to YouTube Data, Analytics, and Reporting APIs, enabling AI assistants to manage videos, analyze performance, handle comments, and extract transcripts.

An MCP server that provides chess FEN (Forsyth Edwards Notation) symbol validation and ASCII board visualization capabilities, which can be easily integrated into MCP compatible AI assistants.

A recipe query tool that supports querying recipes and reporting dish names through the command line, suitable for cooking enthusiasts and developers.

FlixBridge is a Model Context Protocol (MCP) server that bridges AI assistants with media management services. It provides a unified interface for monitoring downloads, managing libraries, and automating media workflows.

Enables AI agents to build channels from video and audio playlists, start, schedule, sync, stop and monitor live broadcasts across YouTube, Facebook, Twitch, LinkedIn and X, and read stream analytics afterwards. Also covers project and scene editing, media library management with upload and encode workflows, and destination validation, over a stateless streamable HTTP endpoint authenticated with a LiveReacting API key.

Enables an AI assistant to run cloud live streaming end to end: starting and stopping broadcasts, reordering playback queues, searching and organizing the media library, planning stream schedules, and managing multistream destinations. It connects over a remote Streamable HTTP endpoint secured with OAuth or a personal access token, applying the same validation, ownership rules, and rate limits as the public REST API.

Runs on a self-hosted Python process using your own signed-in Chrome session, exposing ten tools over stdio, HTTP, REST, and Python so an agent can read your profile and any profile by link, list tracks including private ones and their secret links, edit track metadata, review comments, plays and likes over a time window, and triage direct messages. Nine tools are read-only and the single write tool is flagged so clients ask before changing anything, all without Artist Pro credentials.

MCP Database Server is a service that provides secure database access for AI assistants and LLM-based tools, supporting SQLite, PostgreSQL, MySQL and MariaDB, and featuring query verification, audit logs and security control functions.

Enables searching for songs on YouTube and automatically playing them in a web browser using the official YouTube Data API v3. It supports cross-platform execution on Windows, macOS, and Linux with built-in input validation.

Enables sandbox-less frontends such as mobile apps to reach the WeRead official gateway over Streamable HTTP by supplying only a URL and an access token, with no local process required. Exposes 14 read-only tools covering search, shelf, notebooks, reading progress and statistics, highlights, public reviews, and recommendations, plus a token-protected dashboard for shelf, notes, and shared-reading annotations.

Enables MCP clients to manage multiple named YouTube accounts through one local stdio server, covering video upload and scheduling, metadata, captions, playlists, comments, live broadcasts and chat, channel branding, and analytics reporting via the official Google APIs. It also offers optional FFmpeg-based local media tools for probing, muxing audio, normalizing loudness, trimming, burning subtitles, and extracting thumbnails.

MCP server exposing YouTube Data, Analytics, and Reporting APIs as agent-callable tools with multi-brand-account authentication, quota tracking, and a safety policy that excludes destructive operations like video deletion.

A lightweight, database-free, configuration-free HTTP proxy server with built-in data sources, suitable for rapid development and testing.