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Securely let AI agents use stored credentials without exposing plaintext secrets.
This MCP tool has positive signals from being open source and MIT-licensed, but the provided material is minimal and its stated purpose involves using stored credentials, so local execution paths and credential-use boundaries deserve scrutiny. No remote endpoint or explicit data exfiltration is stated, so it is closer to caution than high risk overall.
The description says it lets AI agents use your stored credentials without seeing plaintext values, indicating the tool handles or brokers sensitive credential usage. Although no extra API keys or environment variables are required, there is still potential impact from invoking locally stored credentials, and the isolation model is not described in the material.
No remote endpoint is declared in the material, and the objective checks also show no host. Based on the available information, there is no clear user-data egress path, though the missing README means runtime networking behavior cannot be fully confirmed from documentation.
The system checks explicitly mark this tool as executes-code, meaning it can run code locally or start a service process. This is a common MCP capability and not high risk by itself, but its runtime environment and callable scope should be constrained.
By its stated function, the tool must at least access data related to stored credentials or a credential vault, which is inherently highly sensitive local data. The material does not specify whether access is limited to a specific vault, read-only, or governed by fine-grained authorization, so least-privilege controls are important.
It is open source and MIT-licensed, which are clear risk-reducing factors. However, it comes from a third-party registry, has 0 stars, unknown maintenance status, and lacks a README, leaving limited audit context. Overall, the supply-chain posture warrants caution, but there is no concrete red flag here that alone justifies a high-risk rating.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "psamvault-mcp" yet — see the docs or source repo.
Use the Stripe API credentials stored in psamvault to generate a sample test payment request and explain the steps without revealing the plaintext secret.
A runnable API request example, step-by-step guidance, and confirmation that credentials were referenced securely rather than exposed.
Use my cloud credentials from psamvault to generate a pre-deployment login script for CI/CD, ensuring no sensitive information is leaked in logs.
A deployment-ready login script with secure handling recommendations to prevent secret leakage in logs.
Set up an AI agent to use stored internal service credentials via psamvault to query a status endpoint, and provide least-privilege and secure usage recommendations.
An agent integration plan, a sample status query, and recommendations for least-privilege and secure configuration.
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Search, read, write PARA-organized Obsidian notes and save URLs as notes.
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