ツール

ChatCut's official plugin: edit ChatCut video projects by chat from Claude Code or Codex: import media, adjust the timeline, transcribe and caption, generate voiceover, music and motion graphics, and export. Needs a ChatCut account (free tier available); sign in via browser on first use.

Graph database MCP server from Neo4j Labs: reads the graph schema and runs read and write Cypher queries, with read-only mode, query timeouts and response token limits. Needs a Neo4j instance with the APOC plugin enabled.

Open-source toolkit widely used in localization: converts between PO, XLIFF, TMX, CSV, subtitle and other translation formats, counts words, runs 40+ translation checks with pofilter and extracts frequent terms with poterminology. Needs Python 3.11+.

Turns Manim animations into step-through slide decks: mark slide breaks in scene code, render, then present with manim-slides or export to HTML, PDF or PPTX, for math and science classes and talks. Scenes are Python (agents can write them); needs Manim, plus LaTeX for formulas.

Sentry's official remote MCP: lets coding agents query errors, issues, stack traces and performance traces, and call Seer for root-cause analysis. Sign in with OAuth, or connect to self-hosted Sentry over stdio.

Lets agents manage Google Cloud resources in natural language through the gcloud CLI, blocking interactive and other agent-unfriendly commands by default, with configurable allow and deny lists. A preview release from Google, not an officially supported product; install gcloud and sign in first.

AWS Labs' official plugin marketplace: deploy-on-aws (architecture recommendations, cost estimates and IaC deployment), aws-serverless, aws-amplify, databases-on-aws, sagemaker-ai and more. AWS suggests Agent Toolkit for AWS for new projects.

Lets coding agents read your codebase, extract a design system, then generate UI mockups, slide decks, posters and other marketing visuals on Superdesign's infinite canvas and iterate in branches. Needs @superdesign/cli and a Superdesign account; free to start.

HashiCorp's official Terraform and Packer skills: write HCL in the official style, refactor modules, terraform test, provider development, Stacks and policy, plus AWS and Azure image builds.

HashiCorp's official plugin marketplace: the terraform plugin has 16 skills (configuration, modules, provider development, testing, import, Stacks and policy), and the packer plugin has 4 image-build and HCP Packer skills.

Jina AI's official remote MCP: converts web pages and PDFs to Markdown, searches the web, arXiv, SSRN and images, and offers screenshots, reranking and semantic dedup. Reading tools work without a key (rate-limited); search and rerank need a Jina API key.

From Vercel: discovers locally running Next.js 16+ dev servers and hands the runtime errors, routes and logs from their built-in MCP endpoint to the agent, and points the agent to docs matching your installed version.

Lets agents drive a local Adobe After Effects: create compositions, add text, shape, solid and camera layers, and set keyframes and expressions, for batch intros, lower thirds and motion graphics. Needs After Effects 2022+ and Node.js; build from source and open the bridge panel in AE.

Microsoft's official skill: has the agent use Microsoft Learn docs to call Azure text and document translation, enforce glossaries, train Custom Translator models and troubleshoot quotas and errors. For localization teams building batch translation; needs an Azure account and Translator resource.

Drives local Premiere Pro projects with 280+ operations: import, sequences, timeline cuts, transitions, effects, color, captions, audio ducking, export. Needs Premiere Pro 2020+, Node.js 20+ and the MCP Bridge (CEP) panel open; anonymous telemetry is on by default and can be turned off.

Calls image and video models such as FLUX, Veo and Seedance through inference.sh's belt CLI to generate images, video, avatars and voiceovers, plus guides for thumbnails, storyboards, press releases and social copy. Needs belt and a free inference.sh account; model calls are billed per use.

Unbabel's machine-translation quality metric: comet-score rates translations per sentence and overall, XCOMET marks error spans and severity, and CometKiwi works without a reference. Good for spot-checking MT. Needs Python 3.8+; models download from Hugging Face, some need a license; GPU helps.

Lets agents drive a local Photoshop: remove backgrounds, retouch portraits, color grade, batch-watermark, and export or split carousels at social media sizes; multi-step edits undo in one step. Needs Photoshop and Node.js 18+. Unofficial; sends anonymous telemetry by default (opt-out).

Shopify's official CLI: scaffold, develop locally and deploy Shopify apps, extensions, Functions and themes, and build and host Hydrogen custom storefronts. Requires Node.js.

A research plugin for Claude Code: commands like /omp:survey, /omp:experiment and /omp:write chain literature review, topic selection, experiments, writing and self-review, with 5 specialized agents and 34 research skills that remember project progress across sessions. Experiments lean toward ML.

Lets agents work in Photoshop, Premiere, InDesign, Illustrator and After Effects through UXP/CEP plugins and a local proxy: edit layers, lay out pages and cut timelines. A proof of concept, not made by Adobe; install from source.

21 English writing rules (12 from The Elements of Style, Orwell, Pinker and other classics, 9 from observed LLM habits) for clearer, leaner papers, grant proposals, design docs and documentation. Expository English only; not for fiction or marketing copy.

YouTube channel assistant: lets agents upload videos, edit titles, descriptions and thumbnails, and manage playlists, captions, comments and live streams; also works as a CLI. Requires enabling the YouTube Data API in Google Cloud and creating OAuth credentials; daily API quotas apply.

The five-agent PaperOrchestra pipeline (outline, figures, literature review, section writing, polishing) as skills: turns research ideas, experiment logs and a conference template into a LaTeX paper and checks citations via Semantic Scholar. Needs Python; verify the draft yourself.