"Generating Metrics" matching MCP servers:

MCP server for generating memes via the Imgflip API. It allows AI assistants to browse meme templates, caption them, and return the resulting image directly in the conversation.

Owner-side YouTube analytics for AI agents: watch time, traffic sources, audience retention, playlist and podcast-series metrics, and episode-over-episode comparison. Read-only, all of it.

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

Enables AI agents to pull real TikTok profile and video analytics, rank posts by custom metrics, and publish videos or photo carousels or create drafts for the connected account.

Enables songwriting by generating original multilingual lyrics with English section tags from a brief, ready for music generation models.

Enables AI agents to generate dynamic game background music by analyzing game scenes with DeepSeek and generating royalty-free tracks via Soundraw, including integration code for Unity and Unreal Engine.

A local MCP server that exposes your own YouTube channel's data—such as channel metrics, video listings, retention curves, and pillar performance—to Claude Code via stdio.

MCP server for YouTube channel deep analytics, extracting transcripts and computing quantitative metrics like WPM, profanity, and humor taxonomy, with multi-creator comparison dashboards.

MCP server for Suno music generation API that enables generating lyrics and custom songs with style tags, model selection, and automatic polling for task completion.

Enables generating 3D models from text prompts, rendering turntable animations, and uploading them directly to YouTube via an MCP interface.

A single file simple MCP server tracking 11 relevant tautulli metrics.

An MCP server that retrieves and ranks humorous roasts, jokes, and memes about real or fictional characters from Twitter/X. It leverages LLMs for intelligent query generation and uses social engagement metrics to identify and rank high-quality content.

Exposes WAVE streaming APIs as tools for AI assistants to manage live streams, studio productions, and real-time analytics. It enables users to control stream lifecycles, monitor health metrics, and access billing usage through the Model Context Protocol.

Enables AI assistants like Claude to interact with The Movie Database (TMDB) API, providing capabilities for searching movies, retrieving movie details, and generating customized movie reviews and recommendations.

Connects Ableton Live to AI through MCP, enabling prompt-assisted music production with extended tools and a 33-personality style system for generating parts in various artist styles.

An MCP server that enables discovery and analysis of trending YouTube Shorts using natural language. It provides tools to track viral metrics like Views Per Hour (VPH), identify niche trends, and summarize video content through the YouTube Data API.

Enables podcasters to manage their PodMule workspace through natural language, including searching back catalogues, drafting clips, generating show notes and interview briefs, and triaging workspace tasks.

An MCP server for generating dad jokes based on a given topic, with support for dynamic prompts and extensible resources.

Enables Claude to directly analyze YouTube channel performance by fetching real metrics such as views, watch time, retention, traffic sources, reach/CTR, and comments via YouTube APIs.

An MCP server for auditing and improving a YouTube channel's discoverability by providing read-only access to channel catalog, analytics metrics, retention curves, search terms, and Studio CSV data, and ranking underperformers by recoverable views.