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Introduction

The Model Context Protocol (MCP) is a lightweight, open protocol designed to standardize how AI applications and large language models (LLMs) interface with external tools, data sources, and services. It allows developers to seamlessly integrate LLMs into broader software systems by defining a clear, extensible, and secure context interface.

Think of MCP as a universal adapter for AI systems, enabling smooth interaction between models and the tools they need — like local files, databases, or web services.

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Parameters:

AttributeParametersDescription
Command (optional)commandThe command used to launch the MCP-compatible server. Default to None
MCP Args (optional)mcp_argsOptional list of additional CLI arguments to pass to the server. Default to None
SSE Url (optional)sse_urlOptional Server-Sent Events (SSE) URL for streaming. Default to None
Headers (optional)headersOptional HTTP headers to include in the request. Default to None
ENV (optional)envOptional environment variables to set when running the server. Default to None

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MCP Handler - STDIO

The STDIO handler communicates using the operating system’s standard input and output streams. This method is typically used when integrating with command-line tools or subprocesses. The MCP (Modular Communication Protocol) engine sends input to the handler through standard input (stdin) and reads the response from standard output (stdout).

from superagentx.handlers.mcp import MCPHandler

mcp_handler = MCPHandler(
    command="python",
    mcp_args=["-m","mcp_server_reddit"]
)

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MCP Handler - SSE

The SSE handler uses Server-Sent Events, a web-based communication protocol that allows the server to push real-time updates to the client over a single HTTP connection. The handler remains connected and continuously sends events as they become available, without the client having to request them each time.

from superagentx.handlers.mcp import MCPHandler

mcp_handler = MCPHandler(
    sse_url="http://0.0.0.0:8080/sse"
)