Dynamic Tool Mcp Server

Dynamic Tool MCP Server

The Dynamic Tool MCP Server is a lightweight implementation of the Model Context Protocol (MCP) that focuses on showcasing how tools can be added to an AI assistant’s repertoire at runtime. It is primarily intended as a testbed for developers building or refining MCP clients, enabling them to validate that their applications can gracefully handle tool list changes without requiring a restart or redeployment. By exposing both static and dynamic tooling capabilities, the server demonstrates how an AI assistant can evolve its functionality on the fly, mirroring real‑world scenarios where new data sources or services become available after deployment.

At its core, the server ships with two built‑in tools. The Hello Tool () is a simple, deterministic function that accepts a name and returns a friendly greeting. This serves as an example of a typical, stateless tool that can be invoked immediately by any MCP client. The second is the Add Tool Tool (), which embodies the dynamic aspect of MCP. When invoked, it registers a new tool on the server with a supplied name and description, then broadcasts a notification to all connected clients that the tool list has changed. Clients are expected to respond by requesting an updated list, after which the newly added tool becomes instantly available for use. This cycle illustrates how MCP clients can adapt to evolving capabilities without downtime.

Key features of the server include:

• Runtime tool registration: Tools can be introduced or removed while clients remain connected.
• Client notifications: The server pushes a “tool list changed” event, ensuring clients stay in sync.
• Immediate availability: Newly registered tools can be called by a client on the next request cycle.
• SSE endpoint: Clients receive updates via Server‑Sent Events, a lightweight push mechanism compatible with most browsers and HTTP clients.

Typical use cases span from integration testing to prototype development. A developer building an AI assistant can spin up this server, connect a client, and simulate adding new functionalities such as weather queries, database lookups, or custom business logic. The ability to test dynamic tool handling in isolation accelerates development cycles and uncovers edge cases related to state management, error handling, or concurrency.

Because the server operates over a simple HTTP/SSE interface and exposes only essential MCP endpoints, it integrates seamlessly into existing AI workflows. Whether you’re building a conversational agent that needs to call external APIs on demand or creating a modular toolchain for data processing, the Dynamic Tool MCP Server provides a clear, concrete example of how MCP’s dynamic tool feature can be leveraged to build adaptable, extensible AI systems.