"Help with creating and importing data into spreadsheets/tables" matching MCP servers:

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

Enables AI assistants to look up Spotify track play counts, artist monthly listeners, charts, albums, playlists, search results, ISRCs, genres, moods, and BPM through MCP tools.

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 extracting YouTube video transcripts, comments, and search results via MCP. Supports both Stdio and StreamableHTTP transports.

Music For Robots catalog — browse and search AI-generated real-time music reviews. Two critics (Vincent Van Goghbot, JS Robach) listen to original compositions and respond with timed observations synchronized to the audio. Query tracks, spectral/harmonic analysis, and full prose reviews.

Enables access to Jupiter Broadcasting podcast episodes through RSS feed parsing. Supports searching episodes by date, hosts, or content, retrieving detailed episode information, and fetching transcripts when available.

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 ChatGPT to retrieve current YouTube metadata, channel uploads, search results, and transcripts via read-only MCP tools.

Enables AI language models to interact with YouTube content through a standardized interface, providing tools for retrieving video information, transcripts, channel analytics, and trend analysis.

Dual-mode tool server for controlling Spotify through terminal or AI assistants like Claude or ChatGPT.

Enables an LLM to compare cinema showtimes across Italian cinema chains (UCI Cinemas and The Space Cinema), aggregating results into a compact text view.

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.

Enables AI agents to read Varzesh3's live scores, match details, league tables, fixtures, team and player data, transfers, TV schedules, news, and videos through 18 read-only tools without requiring an API key or account.

Enables creating and managing Spotify playlists using natural language with advanced similarity matching across 8 different algorithms. Supports finding similar tracks based on audio features, mood, energy, genre, and custom weighted parameters to build personalized playlists automatically.

An MCP server that enables AI assistants to log into Soulseek, search the network, and download files through simple tool calls.

Enables AI agents to turn raw or loosely formatted screenplay text into professionally structured screenplay blocks and typeset plain text on fixed CJK or Latin character grids, with deterministic scene analysis, shootability diagnostics, and Fountain conversion. It runs locally with no account, key, quota, or network calls.

An MCP server for generating Pirate Borg NPCs with procedurally rolled stats, allowing LLMs to create stat-accurate characters using the rulebook's tables.

Tells you when your favourite football teams play and where to watch in Denmark, using data from TheSportsDB.com and built-in Danish broadcast hints.

A MCP server that implements sequential thinking protocols, provides structured problem-solving methods, decomposes complex problems into manageable steps, and supports iterative optimization and alternative reasoning paths.

Enables agents to turn public video links into timestamped transcripts, chapters, and clip suggestions for YouTube, Twitch, Kick, and TikTok.

MCP server that provides Danish TV guide data, enabling AI assistants to answer queries about TV schedules, channel listings, and programme searches.

Turns a YouTube channel into a webhook that delivers signed HTTP POST notifications ~8 seconds after a new video is published, without polling or YouTube API quota.

The Atlas Docs MCP server provides technical documentation of libraries and frameworks for AI assistants, processes the official documentation into Markdown versions suitable for LLMS, and is applicable to McP-compatible LLM clients such as Cursor, Cline, Windsurf, etc.

Resolves a company domain or YouTube handle to a YouTube channel, returning subscriber count, channel metadata, and optional transcripts, with status flags for data availability.

Enables AI agents to work with a user's Google Photos through Google's picker, letting users choose exactly what the agent sees while providing tools for uploading media, creating and sharing albums, writing captions and enrichments, searching app-created media, and managing multiple Google accounts.

High-efficiency YouTube MCP server: Get token-optimized, structured data for your LLMs using the YouTube Data API v3.

Enables AI models to read and edit your own BandLab songs via natural-language prompts, performing concrete mix operations like adjusting track levels, pan, effects, and arrangement while creating new non-destructive revisions.

Context7 MCP is a service that provides developers with the latest code documentation and examples. By integrating into the development environment, it ensures that the code generated by LLMS is based on the latest library documentation.