AI agents should not hold your production keys.
Your agent asks for an action by name refund a customer, deploy a service, update a CRM record.
Anlyon checks the rules gets a human when it matters and makes the call itself.
Free to start
AI agent skills need a nutrition label too.
What does it tell your agent to do? What can it access? What could go wrong?
We are building a searchable index of agent skills, so you can inspect what you are installing before it becomes part of your agent's workflow.
Free tool from Anlyon: https://t.co/Keo3wYkQJp
@BlairHayesAi Thank you! Our favourite part is that the label doesn't ask you to trust anyone. It shows what each tool says it can do, and you decide what your agent gets
MCP servers now come with a nutrition label.
Read. Write. Irreversible. Destructive.
We labelled 192,894 tools across 15,158 servers, so you know what your agent is swallowing before you install it.
A free tool from Anlyon, live on Product Hunt: https://t.co/GLAcFV5ok5
@AliceInfoAi Appreciate it! It's MCP's shopping problem you install first and find out what a server can do later. The label is there to flip that order.
@VeyraWithAI Thanks! It's meant to be the first step see what a tool can do before your agent gets it. Then you decide what it can use and what has to ask you first.
@AinaAiTech Thank you! That's exactly the idea before an agent gets a tool, you should be able to see what it can do. Delete, send data out, read private files. Every label comes from the same fixed rules for every server.
Need an emergency stop for production agents?
POST /api/v2/environment/halt
{"reason":"unexpected catalog writes"}
Anlyon blocks new action dispatches in that environment and parks workflows. Reads still work. A staging key can't halt production.
Introducing Anlyon Integrations.
Connect Stripe, GitHub, Notion, Intercom and more with one key.
Your agent gets every read, and writes that run under your limits, wait for you when they should, and come back with a receipt.
It never holds the key.
One API request might update 50 products.
A limit of 10 API calls won't prevent 500 price changes.
In Anlyon declare the impact as:
"count(input.updates)"
Then set a shared daily limit on SKU changes, so concurrent agents use the same allowance.
Keep your agent's production rules in Git not just a dashboard.
With Anlyon's policy CLI:
Define rules in YAML.
Test expected decisions.
Plan changes, then apply the reviewed digest.
Your agent's runtime key can't rewrite those policies.
Connect your agent to Anlyon's MCP server.
If you are using Google ADK its MCP toolset can discover the available actions and expose them as agent tools.
The agent can now request refunds using the configured action without making direct calls to the payment provider.
Building an AI agent that needs to call external APIs?
1. Define your actions in Anlyon.
2. Connect your agent through MCP and discover the available tools.
3. Keep provider credentials in Anlyon.
4. Review sensitive actions in the dashboard or build your own approval UI with the SDK.
An agent that can issue refunds should not also be able to increase its own refund limit.
Those are two different permissions executing an operation and changing the rules governing it.
Anlyon separates action invocation from operator permissions.
https://t.co/6j2ATXqRv3
Already have an OpenAPI spec for your internal service?
Anlyon can import its operations as named actions. Attach a vaulted credential, give your agent permission to invoke the actions it needs, and apply policies before execution.
https://t.co/6j2ATXqRv3