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Securely store and manage encrypted credentials for AI agents without hardcoded keys.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP-Secrets-Vault" yet — see the docs or source repo.
Use MCP-Secrets-Vault to store the OpenAI, GitHub, and Stripe API keys for my project, organize them by service name, and return reference names for later retrieval.
A list of securely stored encrypted credential entries with reference names or identifiers for each service.
Retrieve the credential named production/openai from MCP-Secrets-Vault and generate a sample configuration showing how an app can inject the key at runtime instead of hardcoding it.
A secure retrieval result or reference method, plus a sample configuration for runtime credential injection.
Use MCP-Secrets-Vault to update the existing database credential to a new version, keep version history, and indicate which services need their configurations refreshed.
The credential update result, version details, and a list of services that need configuration reloads or synchronization.
Securely store and use secrets in MCP clients without exposing them to models.
Securely lets AI agents access and manage secrets through MCP tools.
Securely manage secrets from keychains or encrypted files without chat exposure.
Let AI agents use secrets safely for server-side HTTP, shell, and SSH actions.
Securely lets AI use real secrets with human approval per release.
Securely store, retrieve, share secrets, and inject environment variables for AI agents.