Authenticated LLM Agent — a remote MCP + A2A agent on getvda.ai.
This remote MCP/A2A agent provides a robust and secure gateway for accessing large language models. It authenticates all requests using bcrypt and JWT, ensuring that only authorized applications can utilize its powerful LLM capabilities, powered by Gemini via LangChain on Vertex AI. Unauthenticated calls are strictly rejected, offering peace of mind for your data and resource management.
Designed for developers and organizations building secure, scalable AI-powered applications, this service speaks open A2A and MCP protocols. It offers discovery free access, with metered usage handled seamlessly via x402 micropayments, providing a transparent and efficient way to manage your LLM consumption.
{
"mcpServers": {
"authenticated-llm-agent": {
"url": "https://bcrypt-langchain-openai-mcp-bb738e.getvda.ai/mcp",
"transport": "streamable-http"
}
}
}The service employs a multi-layered authentication process. Incoming requests are first authenticated via bcrypt for initial validation, followed by JWT (JSON Web Token) verification to ensure secure and authorized access to the LLM gateway. Unauthenticated requests are automatically rejected.
This service leverages the Gemini LLM, accessed through LangChain on Google Cloud's Vertex AI. This provides a powerful and scalable foundation for your AI-driven applications.
Access to the service is discovery free. Usage is metered via x402 micropayments, ensuring a transparent and granular billing model based on your actual consumption of LLM resources.
To connect, you'll need to implement the necessary A2A and MCP protocols in your application. Upon successful authentication (bcrypt and JWT), you can send your LLM requests to the service endpoint, which will then be processed by the Gemini model via LangChain.
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