"MCP Servers for Podcast Creation and Content Management" matching MCP servers:

Enables users to plan and create applications on a Coolify instance from container images, Git repositories, inline Dockerfiles, and repository-based Docker Compose, while validating ownership and returning deployment webhooks.

Lists the podcast episodes you've heard on Spotify (fully played or past a progress threshold) from the shows you follow. Feeds a Claude Code pipeline that turns them into a cross-episode LLM wiki.

Enables fixed-owner authoring and auditing of Bethesda game content, covering Creation Kit tools, TES records, Papyrus scripts, assets and archives, BMKB knowledge, authenticated Vortex operations, runtime verification, packaging, and release readiness. All target-changing operations require explicit confirmation, context snapshots, archive receipts, and authorization notes, while read-only knowledge and audit targets remain available for earlier Bethesda titles and Fallout 76.

Search and discover YouTube channels via natural language, track them, and summarize videos without transcripts using Gemini API.

An MCP server that scrapes and transcribes podcast episodes from YouTube or RSS feeds using Deepgram's Nova-2 model. It allows users to track podcasts for new episodes, manage transcripts, and generate personalized summaries through Claude.

Enables AI clients to manage a self-hosted content hub: create, edit, publish, and update articles across multiple platforms, plus AI writing and account management.

A local, read-only MCP server (plus CLI) over your own stock/ETF transaction log. A deterministic core computes drawdown-first risk with bootstrap confidence intervals and validates targets with walk-forward verdicts. The assistant narrates, but the number fence makes it structurally impossible for the model to produce a figure.

AutomateLab Content Distribution publishes content across DEV.to, Hashnode, GitHub Discussions, Reddit and Bluesky, with browser workflows for LinkedIn, Medium and X. Tracks publishing state and adapts content per platform. Product and documentation: https://automatelab.tech/products/mcp/content-distribution-mcp/

Enables editorial content QA over the Model Context Protocol with four local tools that analyze readability, AI-sounding language, SEO on-page factors, and produce full reports where every finding includes an actionable fix.

Provides content agents with structured search over editorial guidelines, visual templates, and past post outcomes, enabling auditable proposals that cite rule IDs.

Maps any source asset (e.g., long video, podcast, blog) to all platform formats (TikTok, Reels, Shorts, etc.) with per-platform adaptation rules, enabling a 'film-once-cut-many' content workflow.

Enables users to look up a Douyin creator by name, public ID, or profile URL and receive the latest video link, like/comment/favorite/share counts, a full timestamped transcript with an AI-reviewed correction and change log, and a content overview. Collection, media download, and local speech transcription are orchestrated as stdio MCP tools so Codex, WorkBuddy, and other compatible clients can run creator research and scheduled checks without extra API keys.

Enables local discovery of research topics, interviews users to uncover their unique perspective, and turns insights into content ideas and short-form Reel scripts.

Enables AI agents to manage live Firefox tabs and native tab groups via MCP tools over stdio, with exact-match verification and safety constraints. It does not read page content or send browser data remotely.

Local stdio MCP server that provides tools for calculating averages, evaluating scores into grades, and retrieving student names by student ID. It logs every call to JSONL files with timestamps and performance metrics.

Fetches and tracks content from YouTube channels, RSS feeds, and GitHub releases with persistence to identify new items across sessions.

An MCP server that enables agents to safely interact with CMS content, with deny-by-default write policies, type/field allowlists, and structured audit trails.

Enables MCP clients to inspect, back up, restore-plan, and safely manage Discord guilds with local-only stdio operation, confirmation and audit reasons, and guarded mutations requiring backups for high-impact changes.

Enables AI agents to save public articles, papers, images, videos, podcasts, and subtitles as local files, with support for multiple sources and output formats.

Provides a bounded set of MCP tools for orchestrating research, content planning, visual production, approval gates, and immutable delivery of image-post projects.

Provides deterministic editorial tools over MCP for creating briefs, reviewing citations and drafts, comparing revisions, suggesting internal links, and planning content refreshes using supplied evidence.

Enables comprehensive content management through Markdown processing, HTML rendering, intelligent fuzzy search, and document analysis. Supports frontmatter parsing, tag-based filtering, table of contents generation, and directory statistics for efficient content organization and discovery.

Enables agents to decide whether the EU AI Act requires a label for AI-generated or modified content, then draw, render as HTML/SVG, or burn a WCAG-contrast EU label into an image and return the matching alt text.

An MCP server for content creation that extracts video transcripts, scrapes web articles, and performs web searches.

Enables AI agents to collect and localize content from WeChat, Douyin, Kuaishou, Xiaohongshu, and Bilibili, with 47 MCP tools for fetching articles, parsing media, and managing a unified local content library.

Enables role-based order management operations such as viewing orders, checking refund eligibility, issuing refunds, deleting orders, and managing users through MCP tools with audit logging and permission checks.

Enables log analysis for Tenable Patch Management (SaaS and on-prem) by parsing, de-duplicating, and decoding server/client logs into structured verdicts, ranked issues, and known-issue fixes.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables competitor content analysis by scraping pages, extracting keywords, identifying content gaps, comparing headings, scoring readability and quality, checking SERP features, and clustering competitors.

MCP server for managing AI prompts with CRUD operations, categorization, and tagging. Enables users to store, organize, and retrieve their favorite prompts efficiently.