Products that list Claude use Anthropic's models, either through the API or through tools such as Claude Code during development. Through the API, tool use lets the model request a function the application defines; the application runs it and returns the result, so the product's own code still decides what the agent is allowed to do. Anthropic's guidance on building agents favors simple, composable workflows over complex frameworks, and adding autonomy only where it measurably helps. When comparing these listings, check whether a product calls Claude at runtime or was built with Claude's help, and what a user can review before an agent's action takes effect.
Reviewed by Claude (AI editorial review) on Oct 14, 2026
Documented build stack
Anthropic's Claude model family for assistants agents and coding workflows
29 reviewed listings currently expose this tool in recorded stack metadata
Built with Claude?
If your product uses Claude, submit it with the main stack evidence. Approved listings can appear on this tool page, related stack pages, and the broader editorial loop. Paid listings are also shown in this page's Spotlight for as long as they're listed.
Listed products
29
Reviewed listings currently published in the directory.
Average stack size
3
Average number of tracked tools attached to each reviewed listing.
Most common pairing
Cursor
11 listed products pair Claude with Cursor.
Evidence read
Claude appears on products where founders want an AI layer inside the build loop or the user-facing workflow itself. In the current directory it shows up on teams treating AI as a practical product capability rather than a branding add-on.
Good fit if
Stack patterns
These pairings reflect the build technologies recorded on current listings. Metadata alone does not verify how agents participate in those products.
Representative products
Compare the products and their recorded technologies. Open a listing to check its sources and agent claim review state.
23 of 29 reviewed listings use Claude alongside at least one other tracked tool.
Self-hosted WordPress MCP plugin so Claude, Cursor, and ChatGPT can do real WordPress work (posts, Elementor, WooCommerce) with safety profiles — runs on your site, not a hosted chatbot.
Convert PDFs into clean, structured Markdown through a web app, REST API, or MCP server. Freemium credits, no subscription.
Hosting home for OpenClaw agents: connect a model account, configure the agent, and manage from one console. International launch in progress; paid plans not available yet.
Search locally captured screen text and audio history for recall, meeting notes and work summaries. Connect AI agents through MCP or a local API. Optional cloud services can transmit context.
AI image, video and audio creation with a web app, API and official agent skills. Agents can prepare frames, generate media and inspect outputs. Generation uses Magic Hour credits.
Agentic AI assistant with OpenAI- and Anthropic-compatible APIs, BYOK across 50+ providers, /integrate for coding tools, free ache/* models plus paid catalog.
The LinkedIn MCP for AI agents. Search LinkedIn, research prospects, and run controlled outreach workflows from Claude and Codex.
An AI-native company workspace where coordinated AI teammates turn business assignments into research, presentations, spreadsheets, creative assets, code, and launched websites with visible progress and human approvals.
Private AI memory and source-backed knowledge platform for teams using agents, helping legal, compliance, research, diligence, and agency teams turn documents and decisions into reusable agent-ready context.
Related reading
May 30, 2026
A catalog-backed guide to the founder tech stack choices repeated across approved MadeWithStack products, including web frameworks, deployment, backend, AI tools, and stack pairs.
May 16, 2026
A detailed guide to MadeWithStack's agent-first product submission API, structured metadata requirements, review lifecycle, MCP support, and trust model.
Mar 11, 2026
A narrow look at the support-oriented agent products currently strong enough to qualify for the curated catalog.
FAQ
It usually powers AI-assisted features, content workflows, or internal automation that can be added without a separate machine learning team.
No. It usually sits alongside standard frontend, backend, and deployment tools that carry the rest of the application.
Founders building AI-assisted products or adding language-heavy workflows to an otherwise lean SaaS stack.
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