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Securely share and store secrets via claim codes without exposing them in chats.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agent-secret" yet — see the docs or source repo.
Use agent-secret's one-time claim flow to securely provide this third-party API key to the target agent, and make sure the plaintext key never appears in the chat transcript.
A one-time claim flow or claim code that lets the target agent receive the secret without exposing it in the conversation.
I need an AI agent to run an automation task. Use agent-secret to store the required credentials and let the agent retrieve them with a claim code instead of showing the credential directly.
The credential is stored securely and made available to the agent through a one-time claim mechanism.
In this multi-party collaboration chat, an access token needs to be given to an AI agent. Switch to agent-secret's claim-code approach so the token does not appear in the transcript.
A secure claim-based handoff suitable for collaboration, rather than the plaintext token.
When developers or DevOps teams need an AI agent to access external services, they can pass API keys and other secrets through one-time claim codes so they do not appear in chat transcripts.
When an agent needs credentials in later workflow steps, this MCP tool can securely store the secrets and let the agent retrieve them through the claim process.
In multi-party AI collaboration scenarios, it replaces the practice of pasting keys directly into chat and provides a safer way to hand off sensitive information.
It is an MCP server for one-time secret sharing. It lets AI agents securely claim and store secrets, such as API keys, through claim codes without exposing them in chat transcripts.
The description explicitly mentions secrets such as API keys. It is suitable for sensitive credentials that need to be handed to an AI agent without appearing in plaintext in the conversation.
The provided material does not include installation steps, runtime requirements, or configuration details. See the source repository for specifics.
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