Инструменты

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.

Companion skill to the User Interface Wiki: 152 rules in 12 categories, from motion, easing and exit animations to UI sounds, interaction laws, prefetching and typography, for writing or reviewing web UI code, with issues listed by file:line. Needs an existing web project and Node.js to install.

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.

Plotting skills for academic papers: bar, line, scatter, radar and other styles distilled from 9 real paper figures. Plot your own data in a chosen style as 300 dpi figures, or reproduce a matplotlib script from a paper screenshot. Needs local Python and matplotlib.

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.

Runs SQL queries against ClickHouse and browses databases and table schemas, read-only by default; can also enable embedded chDB to query data directly in files and URLs. Maintained by ClickHouse.

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.

Google Fonts' official font compiler: builds OTF, TTF or variable fonts from Glyphs, UFO or designspace sources, and with -i interpolates each weight from the source's export settings, so type designers can let agents produce builds. Needs Python 3.10+ and font source files.

Lets agents create pixel art and frame animations in Aseprite: drawing, layers, palettes, dithering, outlines and onion-skin previews, with PNG, GIF and sprite sheet export, for game art and pixel illustration. Needs Aseprite, Python 3.13 and uv; runs from source.

Drives desktop Excel on Windows: refresh Power Query, build pivot tables and charts, evaluate DAX and run VBA while keeping existing formulas and formatting, so finance and admin staff can automate existing reports. Needs Windows, Excel 2016+ and Node.js; no macOS.

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.

Brand-building skills: start with a brand profile, then work on strategy, naming, visual identity briefs, voice and key messages, positioning and competitor brand analysis, brand audits and launch plans, plus Meta/Google ads, email and influencer playbooks. No API key needed.

Unofficial Yahoo Finance data tool with a yahoo-finance CLI, an MCP server and an agent skill: stock quotes, price history, financials, option chains and analyst ratings. Needs Node.js 22+, no API key. The API is unofficial and may change; for research only.

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.

Interviews you on scope, pain points and brand tone, infers the visual language from existing styles, and builds five React UI variants on a temporary route with a feedback overlay. Iterates on feedback, then writes an implementation plan and deletes the temp files.

The Docling project's official MCP: converts PDF, Word, PowerPoint and more into structured documents with layout and table detection and OCR for scans, and lets agents build new documents paragraph by paragraph and export Markdown. Local mode needs Python and uv, or use your own Docling Serve.

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).

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.

dbt Labs' official plugin marketplace with dbt and dbt-migration plugins: write models and unit tests, build semantic-layer metrics, govern with dbt Mesh, debug failed jobs, and handle version upgrades and cross-platform migrations. Most skills need an existing dbt project.

dbt Labs' official skills: write and edit dbt models, add unit tests and docs, set up the MetricFlow semantic layer, debug failed jobs, and handle dbt version upgrades and cross-platform migrations. Most skills need dbt installed and an existing project.