AI_Agent_with_MCP by zayedrais - MCP Server

The MCP Server with Google ADK Project is designed to facilitate the development and deployment of intelligent agents that can handle a variety of tasks through a coordinated approach. The server is built using Google's Agent Development Kit (ADK) and features a modular architecture where specialized agents collaborate under the guidance of a coordinator agent. This setup allows for efficient handling of requests, whether they involve data analysis, web searches, or code generation. The server is implemented using FastMCP, ensuring high performance and scalability. It supports multiple input data formats and provides outputs in the form of visualizations, reports, and generated code. The project is structured to allow easy extension, enabling developers to add new agents and tools as needed. With a focus on leveraging large language models (LLM) for intelligent routing and processing, the MCP server is a robust solution for automating complex workflows.

Features

LLM-based intelligent request routing through a coordinator agent.
Specialized agents for data analysis, web searches, and code generation.
Support for multiple data formats including CSV and Excel.
Extensible architecture for adding new agents and tools.
High-performance server implementation using FastMCP.

Usages

usage with local stdio

python server.py

usage with remote sse

mcp.run(transport='sse', host="0.0.0.0", port=8080)

usage with remote streamable http

paths:
  /mcp:
    post:
      x-ms-agentic-protocol: mcp-streamable-1.0

usage with fastmcp

from mcp.server import FastMCP
app = FastMCP('demo')
@app.tool()
async def query(): ...

Tools

ask
Routes the user's query to the most appropriate agent.
search
Searches the web for information.
analyze_data
Analyzes data files and generates reports with visualizations.
generate_code
Generates code based on natural language descriptions.

zayedrais/AI_Agent_with_MCP