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Securely broker local secrets for AI agents with per-use MCP approval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "keyward" yet — see the docs or source repo.
Please use keyward to request the secret named openai_api_key. If usage approval is required, wait for my MCP approval before continuing.
The tool requests the secret by name and waits for human approval before using it.
Whenever you need to access a third-party service, first request the relevant secret via keyward and ask for my approval before each use.
The AI asks for separate approval before each sensitive call instead of exposing or reusing the secret directly.
Use keyward to manage locally encrypted credentials and request only the needed secret by name when performing a task.
Credentials stay in a locally encrypted environment, and the agent requests access by name only when needed.
Developers building AI agents that call external APIs can use it to provide secrets by name. Each actual use can be approved over MCP to reduce misuse risk.
DevOps or engineering teams that want to avoid placing secrets directly in agent configs can use this local encrypted secret broker. This keeps agents from directly holding plaintext credentials.
When an AI agent needs to access production services or restricted APIs, the per-use approval flow adds human oversight. It fits scenarios that require tighter control over secret usage.
It is a local encrypted secret broker for AI agents. Agents can request secrets by name and get approval over MCP for each use.
The description emphasizes requesting keys by name and approving each use. That suggests controlled access rather than unconditional secret possession by the agent; see the source repository for implementation details.
The provided material does not include installation steps, runtime requirements, or dependencies. Please see the source repository for exact setup details.
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