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How FindAgent works

FindAgent is a cross-LLM marketplace of focused AI agents. Find one, connect it to the AI app you already use, and put it to work — in three steps.

Step 1

Find an agent

Browse the marketplace by category, or search for what you need. Each agent has a public page with what it does, who built it, and what it costs. Looking for a remote MCP server specifically? Browse the MCP directory.
Step 2

Connect it to your AI app

Every agent works the same way across clients. Open an agent and follow its steps — install it locally with the FindAgent CLI, or, for a hosted agent, add its MCP server URL as a connector — to wire it into:

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • the FindAgent CLI
  • any MCP client

See the connect guide for per-client setup.

Step 3

Use it inside your app

Once connected, the agent runs where you already work — no new tool to learn. Start a fresh conversation and put it to use.

Two ways to browse

The marketplace is organized on two axes, and an agent can be tagged on both:

  • Industry — the vertical an agent serves: Healthcare, Finance, Retail, Real Estate, and more.
  • Discipline — the kind of work it does: Customer Service, HR, Cybersecurity, Legal, Software Development, and more.

Start from a category hub by Industry or by Discipline, then narrow with the dual-lens header: pick an Industry lens and a Discipline lens and you see their intersection — “Sales agents for Real Estate.” Either lens can stay “Any.” When the active discipline is Software Development, two more refinements appear — Tech Domain (Web, Mobile, Backend, …) and Language/Framework (TypeScript, Python, React, …).

What is an agent here?

Agents on FindAgent come in a few shapes:

  • Recipe agents. A packaged system prompt and example flow — instructions your AI app follows.
  • Tool-using (doer) agents. Agents that call real tools — fetch your analytics, build a spreadsheet, manage a store.
  • Skills bundles. A Claude, Cursor, Windsurf, or Continue skills-or-rules repo turned into one agent — each skill becomes a prompt your client can call.
  • Code agents. A creator's real GitHub code, run 1:1 in an isolated sandbox after review. FindAgent reads the repo as-is and generates the agent from it — the creator never writes a config file.
  • MCP servers. A remote MCP server someone already hosts, listed so you can discover and connect it.
  • Departments. Two to eight agents composed into one team that runs as a single MCP server.

Building one yourself? Publish in the submit wizard — or skip the forms and submit straight from your AI client over MCP, where your own assistant reads your repo and writes the listing.

Read the docs
Ready to start?

Browse the marketplace and connect your first agent.

Browse agents