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Multi Capable Processing MCP Smart Agent

@AdadAlShabab

It is a modular and extensible AI agentic server system that connects specialized agents through a central REST API. These agents can analyze code repositories, fetch external data (like weather), generate text summaries, and remember past interactions using a persistent memory manager.
Overview

What is Multi-Capable Processing (MCP) Smart Agent?

Multi-Capable Processing (MCP) Smart Agent is a modular and extensible AI-driven server system that connects specialized agents through a central REST API. It can analyze code repositories, fetch external data like weather, generate text summaries, and remember past interactions using a persistent memory manager.

How to use MCP Smart Agent?

To use MCP Smart Agent, start the Flask server and interact with the API endpoints for various functionalities such as analyzing a GitHub repository, fetching weather data, or summarizing text.

Key features of MCP Smart Agent?

  • Multi-Agent Architecture for specialized tasks
  • Tool-Integrated Agents for code analysis and data fetching
  • Persistent Memory System for contextual recall
  • RESTful API for easy integration
  • Pythonic structure for extensibility and testing

Use cases of MCP Smart Agent?

  1. Analyzing GitHub repositories for insights
  2. Fetching real-time weather data
  3. Summarizing long texts for quick understanding

FAQ from MCP Smart Agent?

  • Can MCP Smart Agent analyze any GitHub repository?

Yes, it can analyze any public GitHub repository by providing the repository URL.

  • Is there a limit to the number of requests?

The current implementation does not enforce strict limits, but it is advisable to manage requests to avoid server overload.

  • How can I extend the functionality?

You can add new agents or tools by following the modular structure of the project.

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