Overview

The MCP Server Remote Setup With JWT Auth provides a secure, production‑ready implementation of the Model Context Protocol (MCP) over Server‑Sent Events (SSE). By leveraging JSON Web Tokens for authentication, the server protects every SSE connection and tool invocation behind a bearer token flow. This design solves the common problem of exposing AI tooling to external assistants while maintaining strict access control and auditability.

At its core, the server exposes a dynamic set of AI tools—such as , , and —over a single SSE endpoint (). Clients authenticate by requesting a signed JWT from and then include that token in the header when opening the SSE stream. Once connected, each incoming message initiates a new session that can be addressed via . The server logs the entire request lifecycle, making it straightforward to monitor usage and debug interactions in real time.

For developers building AI assistants, this server offers several key advantages:

• Secure Transport: SSE is a lightweight, unidirectional protocol that eliminates the overhead of WebSockets while still supporting real‑time streaming. Coupled with JWT, it guarantees that only authorized agents can send or receive data.
• Dynamic Tool Registration: New tools can be added without redeploying the entire server. This flexibility enables rapid iteration of assistant capabilities.
• Built‑in Validation: Input validation via Zod ensures that tool arguments conform to expected schemas, reducing runtime errors and improving reliability.
• Inspector Compatibility: The server is fully compatible with the official MCP Inspector, allowing developers to test and debug tools in a UI that mirrors real assistant usage.

Typical use cases include:

• Remote AI Service: Host a collection of utility tools that can be invoked by multiple AI assistants across different environments, all behind a single authentication gate.
• Prototyping & QA: Quickly spin up a server during development to validate tool logic, measure latency, and confirm integration with the MCP ecosystem.
• Enterprise Deployment: Integrate the server into a larger microservice architecture, adding role‑based access control or token revocation in future releases.

By combining SSE, JWT authentication, and the MCP SDK, this server delivers a secure, extensible foundation for any project that needs to expose AI tooling to assistants in a controlled manner.