Multi-Capable Processing (MCP) Smart Agent
by AdadAlShabab
The MCP Smart Agent is a modular AI-driven server system that connects specialized agents through a REST API. These agents can analyze code, fetch data, generate summaries, and remember interactions.
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What is Multi-Capable Processing (MCP) Smart Agent?
The MCP Smart Agent is a modular and extensible AI-driven agentic server system. It connects specialized agents through a central REST API, enabling them to perform tasks such as code analysis, data fetching, and text summarization, while retaining memory of past interactions.
How to use Multi-Capable Processing (MCP) Smart Agent?
To use the MCP Smart Agent, first install the dependencies using pip install -r requirements.txt. Then, start the server with python server/mcp_server.py. You can then interact with the agents via the provided API endpoints using HTTP requests, such as analyzing a GitHub repo with a POST request to /analyze_repo.
Key features of Multi-Capable Processing (MCP) Smart Agent
Multi-Agent Architecture
Tool-Integrated Agents
Memory System
RESTful Server
Pythonic Structure
Ready for Scaling
Use cases of Multi-Capable Processing (MCP) Smart Agent
Automated code analysis of GitHub repositories
Fetching and integrating external data sources like weather information
Generating summaries of large text documents
Building AI-powered workflows that require persistent memory
Rapid prototyping and experimentation with AI agents
FAQ from Multi-Capable Processing (MCP) Smart Agent
Can I use real APIs instead of the mock tools?
Can I use real APIs instead of the mock tools?
Yes, you can replace the mock tools with real APIs like GitHub, OpenWeather, or LangChain tools.
How can I make the memory persistent?
How can I make the memory persistent?
You can use vector databases like Pinecone or ChromaDB for persistent memory instead of the in-memory key-value storage.
Can I integrate this with LangGraph?
Can I integrate this with LangGraph?
Yes, you can add LangGraph for long-running planning workflows.
Can I use GPT models for summarization?
Can I use GPT models for summarization?
Yes, you can replace the summary agent with GPT-4 or HuggingFace Transformers.
What are some potential improvements?
What are some potential improvements?
Potential improvements include adding authentication, logging, and rate-limiting to the server.