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Securely manage API credentials and proxy requests without exposing secrets to agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agentkeys-mcp" yet — see the docs or source repo.
Use the OpenAI credential configured in AgentKeys to send a chat completion request, return the response content, and do not reveal the API key or full authorization headers in any output.
Returns the API result while keeping keys and sensitive authentication details hidden from the agent and user.
Through AgentKeys, call authorized GitHub and Slack APIs: first read recent repository issues, then send a summary to a specified channel, without exposing any credentials at any step.
Completes the cross-service automation flow and outputs the issue summary and delivery result without any sensitive secrets.
Check whether the credential named stripe-prod in AgentKeys is available, and verify connectivity with a safe test request; if it fails, return only the error reason and troubleshooting advice without showing secret values.
Returns credential availability, test results, and troubleshooting guidance while hiding all actual secret values.
Discover, browse, and install agent skills from curated GitHub sources.
Build AI agent workflows and automate tasks using MCP-connected services.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Enable AI agents to communicate, route messages, and collaborate through MCP.
Test API compatibility for AI agents with scores, grades, and recommendations.
Create, sign, and enforce binding agent agreements with deadlines and penalties.