Reference
A reference index of the plugins, skills, MCP connectors, and browser agents you can install on top of your AI platform. Built for operators getting beyond chat with Claude, ChatGPT, and similar.
The AI Vendor Landscape covers the platforms themselves. This page covers what to add on top: plugins (bundles of skills and tools), skills (single-purpose know-how), and MCP servers (connectors to your apps and data). Different shopping moment, different mental model. Pick a category, scan the cards, and do your own due diligence before installing anything.
No bolt-ons match your search. Try a different term, or submit one we should add.
Bundles of capability you install in one motion: a plugin can ship dozens of skills, prompts, and tools tuned for a domain. The highest-leverage install if you want a whole specialist team showing up at once.
23 specialist tools in a single install. The closest thing to dropping a full development team into your Claude in one move. Strong default if you don't know where to start.
A complete development methodology packaged as 14 skills. Opinionated about how to structure work, draft requirements, review code, and ship reliably. Most-starred plugin in the ecosystem.
OpenAI's official Codex plugin for Claude Code. Lets you run OpenAI's coding model side by side with Claude in the same session. Handy when you want a second opinion on a tricky diff.
Investment banking, equity research, private equity, and wealth management workflows in one bundle. Aimed at boutique shops and CFO offices that want senior-analyst leverage without a full data team.
Legal workflows across practice areas: contract review, clause comparison, redline drafting, and matter intake. Sized for solo practitioners and small firms that don't have a legal-ops team.
The catch-all plugin: 255+ skills across every platform. Native .docx, .pptx, .xlsx, and .pdf creation; image, audio, and video helpers; and a long tail of workflow primitives. The single highest-leverage install for knowledge workers.
40 marketing tools across the full growth-ops surface: campaign planning, persona briefs, channel-fit analysis, lifecycle copy, and reporting templates. Marketer hand-off without losing the strategy.
A content OS for posts, reels, and captions. Voice consistency across platforms, scheduling cadence helpers, and adaptation between LinkedIn, X, and short-form video. Pairs naturally with Granola for meeting-to-post pipelines.
Single-purpose know-how you add to your AI: a skill is one well-described task, automatically invoked when the work calls for it. Lighter than a plugin, narrower than an MCP, and easy to mix and match.
Kills generic AI UI. The taste fixer for front-end work: opinionated about spacing, type, and component shape so your build looks designed instead of defaulted. Most-installed skill in the catalog.
Write HTML, render video. Agent-native. Lets Claude generate motion graphics and explainer-style video right out of HTML markup. The fastest path from rough idea to a usable B-roll clip.
Karpathy-style wiki built from your AI history. Turns past chats and projects into a queryable knowledge base so you stop re-asking the same setup questions.
Lets Claude query your research and playbooks the way NotebookLM does: grounded answers, source citations, and good behavior on long PDFs. Stays inside Claude so you don't need to swap tools.
Strips AI writing tells from any draft. Targets the specific cadence and word choices that make machine prose feel machine-written, and rewrites them in a more natural voice.
GEO-first SEO skill. Built for the AI era: optimizes pages for both classic search and the new generative-search surfaces (Perplexity, ChatGPT Search, Google AI Overviews).
The Vue and Vite core teams' own skills collection. Best-in-class for front-end work on those stacks because the maintainers wrote it. Use it any time you're building or refactoring a Vue app.
Cuts about 65% of tokens. Talks like caveman. Sounds like a joke, behaves like a cost lever: shorter prompts, shorter responses, less budget burn for routine calls.
Connectors that let your AI read and act on the rest of your stack. MCP (Model Context Protocol) is the open standard that finally makes "your AI can use my tools" a normal sentence instead of a custom build. Three flavors below: direct hooks into apps you already use, specialized tools that bring their own AI capability, and integration platforms that bundle thousands of services behind one endpoint.
Feeds every meeting note to Claude. Granola already records and summarizes your calls; the MCP lets Claude pull those notes into any later workflow without manual copy-paste.
Posts updates and reads channel history on your behalf. Workflows finally get real workplace context instead of you pasting threads in. The single most useful MCP for most teams.
Reads and writes your databases and docs. Claude can query Notion as a knowledge base, then update pages from a conversation. Best paired with operators who already live in Notion.
Flags which LinkedIn DMs actually need a reply. The first useful AI take on relationship inbox triage: skips the noise, surfaces the conversations that move work forward.
Token-efficient browser automation. A sandboxed browser the AI controls so it can fill forms and pull info from pages without a public API, without burning your context window on raw HTML.
Real-time web search inside Claude. Drops Perplexity's grounded, citation-first search behavior into any Claude session so research questions don't require swapping tools.
Cinematic video from a single prompt. The MCP exposes Higgsfield's model to Claude so you can describe a clip in conversation and get a usable rough cut without leaving the chat.
Lifelike text-to-speech and voice cloning. The MCP lets Claude turn written text into natural-sounding audio, produce voiceovers, and transcribe speech without leaving the conversation.
9,000+ apps behind one MCP endpoint. The lazy-but-correct way to bridge Claude to everything else in your stack: CRMs, billing tools, calendars, spreadsheets. Free tier covers 100 tasks per month (each MCP call counts as two), then paid plans scale from there.
250+ tools behind one MCP endpoint, built specifically for AI agents. Free tier covers 20,000 tool calls per month with no credit card; paid plans start at $29/month for 200,000 calls. Open-source under MIT, with both hosted and self-hosted options for teams that want their integrations to stay on their own infrastructure.
3,000+ APIs and 10,000+ prebuilt tools behind one MCP endpoint, with managed OAuth and per-user credential handling baked in. Free in development mode for testing; pricing kicks in when you move to production. Stronger on event-driven workflows than Zapier and more developer-leaning out of the gate.
Know a plugin, skill, MCP, or agent that should be on this page? Submit it for review and we'll consider it for the next monthly refresh.