Tools

Write a script, speakers and visuals in MulmoScript (JSON or YAML) and the mulmo command generates narration and images and assembles a video, podcast, slide deck or PDF, for explainer videos. Needs Node.js, FFmpeg and an OpenAI API key; other providers optional.

Microsoft Teams MCP open-sourced by Inditex: read messages in a set channel, start threads, reply and @mention members, and list members. Requires an Azure app registration and a Teams bot (usually with IT admin help); runs via Docker or Python 3.12 with uv.

Astronomer's official data engineering plugin: write Airflow DAGs to best practices, debug pipeline failures, trace data lineage, profile warehouse tables and migrate from Airflow 2 to 3, with a built-in Airflow MCP server and session hooks.

Research guardrails for PhD students: reproduce arXiv papers, debug training anomalies with evidence, compare runs at matched epochs, check paper-code consistency, verify BibTeX, find literature gaps and predict reviewer comments. No MCP or extra dependencies; mostly for ML research.

Customer success plugin from gtm-agents: three commands with subagents for account health monitoring, adoption plans and escalation playbooks, plus skills for risk scoring, executive business reviews (EBRs) and feedback loops. Prompt-only; bring your own usage, ticket and NPS data.

Renewal management plugin for customer success and account managers: segment-based renewal forecasts with upside and downside scenarios, save plays and escalation paths for at-risk accounts, and post-renewal retrospectives. Prompt-based; you supply contract values, usage and other data.

Voice of customer plugin: organizes tickets, interviews, surveys and community feedback into one taxonomy, estimates revenue and churn impact by theme, produces insight briefs for leadership or product, and tracks feedback loops and advocacy programs. No code; supply your own feedback data.

Creates a blueprint-style animation that explains UX decisions step by step for case studies and posts: rebuilds changed parts between Before and After screens, or annotates each module of one screen. Reproduces Figma frames 1:1; CC BY-NC 4.0, non-commercial only.

Official FinLab quant skill: lets agents use FinLab data (mainly Taiwan stocks, plus US, Japan, Korea and Hong Kong) to write stock-picking strategies, run backtests and analyze factors. Needs a FinLab account (free tier has a daily data cap), Python 3.10+ and uv. Not investment advice.

Makes a product film (landing-page loop, launch video, promo, demo reel) in code with Remotion, reusing the product's own design system, components and voice. It interviews the user first, then writes the story, syncs scenes to music beats, reviews stills in loops and verifies the final render.

Lets agents run local ComfyUI workflows to generate images, audio and video, regenerate from earlier results with new parameters, check the queue and switch models. Install and start ComfyUI, then clone this repo and run the server with Python (port 9000 by default).

Connects to self-hosted or managed Nextcloud so agents can manage files, calendars, contacts, notes, Deck boards and mail, and read PDF and Word content (OCR for scans is opt-in); suits teams that value data ownership. Needs a Nextcloud account with an app password, and uv.

Spotify's official plugin: agents script and voice content such as morning briefings, meeting recaps or article explainers into audio episodes with cover art and a timeline, saved to Spotify. Needs the save-to-spotify CLI and sign-in; voices can use free local Kokoro.

Generates and edits images with Google's Gemini image model (Nano Banana) at up to 4K, keeping multiple characters consistent, rendering accurate text and setting aspect ratios. Needs a Gemini API key (or Vertex AI) and uv. Community project, not by Google.

Official Databricks skills guiding agents to build Lakeflow pipelines and jobs, Apps, Lakebase, Vector Search, Model Serving and AI/BI dashboards on the lakehouse. Needs the Databricks CLI.

Official Databricks plugin with skills for the CLI and auth, Genie data queries, Apps, Lakebase, Lakeflow jobs and pipelines, Model Serving and DABs deployment, plus hooks for prompt routing, session context and auth failure hints. Needs a Databricks account.

Lets agents read, search, organize and send email over IMAP/SMTP with any provider that supports them, across multiple accounts, with a local web UI for setup. Needs your email password or app password.

Translates SRT subtitles or plain text in batches through any OpenAI-compatible API, stripping timestamps and other overhead to save tokens, keeping output line-aligned with the source, and resuming interrupted jobs. Needs Node.js 20+, a source install and an OpenAI API key or local Ollama.

Describe the video you want and the agent builds a reproducible edit project: footage, storyboard, bilingual subtitles, transitions, intro and outro, rendering and QA. Needs Node.js and ffmpeg; AI voice and assets need ListenHub. Science mode uses the author's voice and outro by default.

radare2's official MCP server, written in C on the native r2 API: agents open binaries to disassemble, decompile and analyze them, with read-only mode, sandboxing and connections to remote r2 sessions. Install radare2 first, then r2mcp via r2pm.

Uses Photoshop's COM interface so agents can create, open and save documents, add text and solid color layers, read the layer structure and run JSX scripts, handy for batch social graphics through chat. Windows only; needs Photoshop, Python 3.10+ and uv.

Railway's official plugin, bundling the use-railway skill and hosted Railway MCP so agents can create projects, deploy services, set environment variables and databases, and check logs and metrics to debug deployments. Needs a Railway account.

ComfyUI's official MCP: lets agents drive local ComfyUI image and video workflows, list installed nodes, models and templates, submit jobs and fetch results, and start or stop ComfyUI. Needs a machine that can run ComfyUI (usually a GPU) and comfy-cli; partner models consume Comfy credits.

Local image processing MCP: crop, resize, rotate, add text and watermarks, blur, remove backgrounds, detect objects and extract text with OCR, with no images uploaded anywhere; handy for photos, scans and course visuals. Needs Python 3.10 and pipx; first install downloads detection models.