When you need an AI agent or an MCP tool, you have a few options: dig through a raw directory of unreviewed servers, build and host one yourself, or reach for a store tied to a single assistant. Here is an honest look at how FindAgent compares — every claim below is something FindAgent actually does today, enforced in code, not promised on a badge.
Open directories list thousands of Model Context Protocol servers, added automatically with no human looking at them. Anything can be published, and you have no signal about whether a given server is safe before you connect it.
On FindAgent
On FindAgent, nothing goes live until a person has reviewed it, and an agent we serve passes an automated security scan first. The publish step is enforced on our servers and fails closed — anything the checks can’t verify is held back rather than waved through.
Every listing is reviewed by a person before it can publish, and every agent we serve is scanned automatically too.
The publish gate runs on our servers and fails closed — a failed scan or build holds an agent back.
A published agent, review, or comment can still be reported for a second look.
vs Building and hosting an agent yourself
The alternative
You can wire up your own tool-using agent — but then you own the security model: which code runs, where each API key is allowed to go, how results are handled, and how it reaches every AI client you use.
On FindAgent
Instructions, Skills and Actions run no code of their own; only the Code part does. One trusted FindAgent runtime performs only the actions an agent declares, and nothing runs on your machine. Any key you connect is bound to the exact hosts the agent declares and dropped if a request tries to send it elsewhere. The Code part runs only in an isolated, single-use sandbox that starts with no network access.
Instructions, Skills and Actions run no code of their own — one trusted runtime performs only the actions they declare.
A connected key is bound to the hosts the agent declares and dropped if a request redirects it elsewhere.
A hosted Code part runs in an isolated, single-use sandbox with no network access except the hosts its agent declares.
Connect once and reach it from your AI client — no server to run or host yourself.
vs A single-LLM plugin store
The alternative
A plugin store tied to one assistant only works inside that assistant. Move to a different model or client and you leave those tools behind.
On FindAgent
FindAgent is itself an MCP server, so an agent you connect works across Claude, ChatGPT, Gemini, Cursor, or any MCP-compatible client. Connect it once and use it wherever you already work.
Agents work across Claude, ChatGPT, Gemini, Cursor, or any MCP-compatible client.
The hosted connection needs no install — universal reach from your AI client.
One marketplace and one account, not a separate store per assistant.
Don’t take our word for it
Every agent’s page shows a plain-language summary drawn from that agent’s own definition — whether it ships code, the exact hosts your keys can reach, and which of its tools can change or delete data. The full security model spells out each rule and what it does not cover. Want a named, side-by-side look? Compare FindAgent with other MCP marketplaces.
Honest boundaries build more trust than a wall of green checkmarks. Here’s what this comparison does not cover.
We don’t claim an agent is bug-free or that its results are correct — the review and scan are about safety boundaries, not quality. Read reviews and try an agent before relying on it.
We don’t rank agents by a security “score” or grade. Each agent’s page shows the concrete facts — what code it runs, where your keys go, what it can change — and lets you decide.
Agent code you choose to download runs on your OWN machine with your own access — FindAgent never runs it and there’s no sandbox around it, so it’s clearly labeled, shows its source, and asks for your consent first.
For an agent listed only as a pointer to an external server the provider runs, FindAgent doesn’t run or inspect that server — you connect to it directly with the provider’s own sign-in.
Every agent is free to connect today and paid agents aren’t available yet. When payments launch, creators will keep the majority of net earnings.
How is FindAgent different from a public MCP directory?
A raw MCP directory lists thousands of servers automatically with no human review, so you have no safety signal before you connect. On FindAgent, every listing passes a human review — and every agent we serve an automated security scan — before it can go live, and the publish step is enforced on our servers and fails closed — a failed scan or build holds an agent back rather than letting it through.
Why use FindAgent instead of building my own agent?
Building your own agent means you own the security model. On FindAgent, Instructions, Skills and Actions run no code of their own; only the Code part does. One trusted runtime performs only the actions an agent declares. Any key you connect is bound to the hosts the agent declares and dropped if a request redirects it elsewhere, and the Code part runs only in an isolated single-use sandbox with no network access beyond the hosts its agent declares. You also connect once and reach it from any AI client, with no server to host yourself.
Does a FindAgent agent only work in one AI assistant?
No. FindAgent is itself an MCP server, so an agent you connect works across Claude, ChatGPT, Gemini, Cursor, or any MCP-compatible client. You connect it once and use it wherever you already work, rather than being locked into a single assistant’s plugin store.
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