auto-MCP-client

## AI Analysis: auto-MCP-client

This repository aims to provide a Go library for interacting with MCP (Model Context Protocol) servers, effectively acting as an MCP client in Go. This client allows Go applications to seamlessly integrate with and utilize the tools and data sources exposed by MCP-compliant servers.

**1. What this MCP server/client does:**

This repository implements the client-side functionality for the Model Context Protocol (MCP) in Go.  It enables Go applications to:

*   **Discover MCP Servers:** Read a configuration file (e.g., `mcp_servers.json`) that defines available MCP servers and their connection details.
*   **Connect to MCP Servers:** Establish communication with MCP servers via different transport mechanisms (stdio `process` or `sse`).
*   **Communicate using the MCP:** Send requests to MCP servers according to the Model Context Protocol specifications (defined at [https://github.com/modelcontext/modelcontextprotocol](https://github.com/modelcontext/modelcontextprotocol)).  While the README doesn't explicitly state the content of the MCP messages, based on the MCP specification, they would likely involve sending requests to the server to retrieve information, execute tools, and provide context to the LLM.
*   **Receive Responses:** Handle responses from MCP servers and expose the results to the Go application.  This allows the Go application to effectively leverage the tools and data sources exposed by the MCP server to enhance the capabilities of LLMs.
*   **Act as a Bridge:** Serve as a bridge between a Go application and a diverse set of external tools and data sources that adhere to the MCP standard.

**2. Key features and capabilities:**

*   **Go Library:** Provides a Go library for easy integration into Go applications.
*   **MCP Compliance:** Adheres to the Model Context Protocol standard, ensuring compatibility with other MCP-compliant servers and clients.
*   **Configuration-Driven:** Configured via a JSON file (`mcp_servers.json`), enabling dynamic server discovery and configuration.
*   **Transport Support:** Supports communication with MCP servers via:
    *   `stdio` (`process`): Interacts with servers through standard input/output streams. Suitable for locally executed processes.
    *   `sse` (Server-Sent Events): Interacts with servers through HTTP Server-Sent Events. Suitable for remote servers.
*   **Configurable Server Processes:** Enables execution of servers as child processes with configurable command, arguments, and working directory.
*   **Configurable HTTP Headers:** Provides the ability to set custom HTTP headers for SSE connections.
*   **Dynamic Tool/Data Discovery:**  Leverages the MCP to dynamically discover tools and data sources available through the connected servers.  The exact discovery mechanism depends on the specific MCP server implementation.

**3. Installation and setup information:**

The README primarily focuses on the *client* side in Go.  The installation and setup would involve:

1.  **Go Installation:** Ensure Go is installed and configured on the development machine.
2.  **Repository Cloning:** Clone the `auto-MCP-client` repository.
3.  **Dependency Management:**  (Assuming there's a `go.mod` file) Run `go mod tidy` to download and install necessary Go dependencies.
4.  **Configuration:** Create an `mcp_servers.json` file (or modify the example) to define the MCP servers that the Go application will connect to.  The configuration specifies how to connect to the servers (command and arguments for `process` or URL for `sse`). *This is a crucial step.*
5.  **Code Integration:** Import the library into your Go code and use its functions to connect to MCP servers and send/receive messages.
6.  **Server Setup:** This *also requires setting up the actual MCP servers*.  For example, based on the `example/mcp_servers.json` snippet provided:
    *   The `filesystem` server requires `@modelcontextprotocol/server-filesystem`.  This likely needs to be installed globally using `npm install -g @modelcontextprotocol/server-filesystem` (or locally within the `fs_data` directory). You would also need to create the `fs_data` directory.
    *   The `kubernetes` server requires `kubernetes-mcp-server@latest`.  This likely needs to be installed globally using `npm install -g kubernetes-mcp-server@latest`.  This also likely requires a Kubernetes cluster to be configured and accessible.

**4. Available tools/functions:**

The README doesn't provide specific details about the functions and methods provided by the Go library.  However, based on the project goal, it's likely to include:

*   **Server Configuration Loading:** A function to load and parse the `mcp_servers.json` file.
*   **Connection Management:** Functions to establish and manage connections to MCP servers (both `process` and `sse`).
*   **Request/Response Handling:** Functions to send requests to MCP servers according to the MCP and handle the responses.  These functions might handle serialization/deserialization of MCP messages.
*   **Error Handling:** Mechanisms for handling errors during connection, request processing, and response parsing.
*   **Tool Invocation Functions:**  Functions to abstract the invocation of specific tools exposed by the MCP servers.  These would likely take tool name and arguments as input.

Without the actual code, the exact function names and signatures are unknown. The core library would need to handle creating a connection, serializing requests (likely JSON), sending them to the server, and deserializing the response. Higher-level functions for specifically calling well-known operations would be built on top of that.

**5. Use cases and examples:**

*   **LLM-powered File System Access:** Using the `filesystem` MCP server, an LLM could be given access to a local file system to retrieve information, create files, or modify content. The Go client would connect to the server, the LLM would request actions, and the Go client would use the MCP server to execute those actions against the file system.
*   **LLM-managed Kubernetes Deployments:** Using a `kubernetes` MCP server, an LLM could manage Kubernetes resources, deploy applications, or monitor cluster health.
*   **Dynamic Data Retrieval:** An LLM could access real-time data from external sources (e.g., a weather API) through an MCP server. The Go application acts as the orchestrator, connecting the LLM to the data source via the MCP.
*   **Integrating Legacy Systems:** Wrap existing applications or services with an MCP server to make them accessible to LLMs.  The Go client facilitates the interaction between the LLM and the legacy system.
*   **Personal Assistant Application:** A personal assistant application powered by an LLM could use MCP to interact with various services, such as email, calendar, and contacts, by using a Go-based MCP client.

In essence, this library provides a standardized way for Go applications to empower LLMs with access to a wide range of tools and data sources, making them more versatile and capable. It facilitates building intelligent applications that leverage the power of LLMs in conjunction with external systems.