how to make good use of the MCP's concept Context?

[tianfudhe]

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• Protocol Specification
• SDK Usage
• Server Implementation
• General Implementation
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Your Question

I'm building a mcp desktop client. it confuses me that how MCP's concept Context help building the AI system.

I saw an example in python-sdk repository https://github.com/modelcontextprotocol/python-sdk?tab=readme-ov-file#context that

from mcp.server.fastmcp import FastMCP, Context
mcp = FastMCP("My App")
@mcp.tool()
async def long_task(files: list[str], ctx: Context) -> str:
    """Process multiple files with progress tracking"""
    for i, file in enumerate(files):
        ctx.info(f"Processing {file}")
        await ctx.report_progress(i, len(files))
        data, mime_type = await ctx.read_resource(f"file://{file}")
    return "Processing complete"

The above piece of server implementation use Context to write logs and report progress, but how the client get the contxet? and how the context help improve performance or user experience?