Step 1
Find an agent
Browse the marketplace by industry or discipline, or search for what you need. Each agent has a public page with what it does and who built it. Looking for a remote MCP server specifically? Browse the MCP directory.
01Getting started
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.
02Three steps
Find it, connect it, use it
Every agent works the same way across clients — no privileged one, no new tool to learn.
Step 2
Connect it to your AI app
Open an agent and follow its steps. There are two ways in:
- Connect. Add the agent's gateway address in any MCP client and sign in once. Everything runs on FindAgent, with nothing to download.
- Install. Add it as a plugin from the catalog, in apps that install plugins. Parts that run on your own machine are Install-only.
It works with:
ClaudeChatGPTGeminiCursorVS Codeany 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.
03Two axes
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 the Browse page 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, …).
04The package
What is an agent here?
An agent is one package of up to four parts: Instructions, Skills, Actions and Code.
Instructions
How the agent behaves: a prompt and example flows your AI app follows.
Skills
Know-how your AI app loads when a task needs it, each skill served as a prompt.
Actions
Calls to real tools with your own key, sent only to the hosts the agent declares.
Code
A creator's own code from a GitHub repo, run in an isolated sandbox after review, or on your machine with your consent.
Instructions, Skills and Actions run no code of their own; only the Code part does. An MCP server listing points at a server someone else runs; FindAgent lists it and never runs it. A Department is two to sixteen agents (up to eight for peer-to-peer) composed into one team that runs as a single MCP server. It is not a plugin.
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.
Ready to start?
Browse the marketplace and connect your first agent.
Frequently asked questions
What is an agent on FindAgent?
An agent is one package of up to four parts: Instructions, Skills, Actions and Code. Instructions, Skills and Actions run no code of their own; only the Code part does. An MCP server listing points at a server someone else runs; FindAgent lists it and never runs it. A Department is two to sixteen agents (up to eight for peer-to-peer) composed into one team that runs as a single MCP server. It is not a plugin.
Which AI apps can I use FindAgent agents with?
Agents work across clients — Claude, ChatGPT, Gemini, Cursor, VS Code, and any MCP client. It is the same open protocol either way, with no privileged client.
How do I connect an agent to my AI app?
Open an agent and follow its steps. Connect: Add the agent's gateway address in any MCP client and sign in once. Everything runs on FindAgent, with nothing to download. Install: Add it as a plugin from the catalog, in apps that install plugins. Parts that run on your own machine are Install-only. See the connect guide for per-client setup.