Sistema de conversación OpenAI-Redis

AI Session MCP

A conversational AI system integrating OpenAI's API with Upstash Redis for session storage, utilizing a Machine Conversation Protocol (MCP) architecture.

Features

Session Management: Persistent conversation storage with Redis
Session TTL: Configurable time-to-live for sessions
Conversation History: Track and manage message history
OpenAI Integration: Seamless integration with OpenAI's chat models
Tool Execution: Support for OpenAI function calling via MCP tools

Architecture

The system consists of these main components:

SessionManager: Handles conversation storage in Redis
OpenAIClient: Manages API requests to OpenAI
ConversationController: Processes user messages and manages conversation flow
MCPToolManager: Handles tool registration and execution

Session Manager

The SessionManager class provides methods for storing, retrieving, and managing conversation sessions in Upstash Redis.

Features

Create sessions with unique IDs
List all available sessions
Get session details and conversation history
Add messages to existing sessions
Session expiration with TTL

Usage Example

from app.session_manager import SessionManager

# Initialize session manager
session_manager = SessionManager(
    redis_url="your_upstash_redis_url",
    redis_token="your_upstash_redis_token",
    ttl_days=30  # sessions expire after 30 days
)

# Create a new session
session = session_manager.create_session("My Conversation")
session_id = session["id"]

# Add messages
session_manager.add_message(session_id, "user", "Hello, AI!")
session_manager.add_message(session_id, "assistant", "Hello! How can I help you today?")

# Get session details
session = session_manager.get_session(session_id)
print(f"Session has {len(session['messages'])} messages")

# List all sessions
sessions = session_manager.list_sessions()
for s in sessions:
    print(f"- {s['name']} (created at: {s['created_at']})")

Setup

Create a .env file in the project root with your credentials:

UPSTASH_REDIS_URL=your_upstash_redis_url
UPSTASH_REDIS_TOKEN=your_upstash_redis_token
OPENAI_API_KEY=your_openai_api_key
OPENAI_MODEL=gpt-4o
SESSION_TTL_DAYS=30

Install the requirements:

pip install -r requirements.txt

Run the application:

python main.py

This server cannot be installed

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

Un sistema de conversación de IA persistente que utiliza la API de OpenAI integrada con Upstash Redis para el almacenamiento de sesiones, lo que permite a los usuarios mantener el contexto en múltiples conversaciones con soporte para la integración de herramientas a través de la arquitectura MCP.

Related MCP Servers

Perplexity AI MCP Server
fr0ziii
A
security
F
license
A
quality
This server provides access to the Perplexity AI API, enabling interaction through chatting, searching, and documentation retrieval within MCP-based systems.
Last updated -
2
MemoDB MCP Server
wuyunmei
-
security
F
license
-
quality
Manages AI conversation context and personal knowledge bases through the Model Context Protocol (MCP), providing tools for user data, conversation content, and knowledge management.
Last updated -
1
Tiny TODO MCP
tkc
-
security
F
license
-
quality
A Model Context Protocol server that provides persistent task management capabilities for AI assistants, allowing them to create, update, and track tasks beyond their usual context limitations.
Last updated -
4
Simple Memory Extension MCP Server
gmacev
-
security
A
license
-
quality
An MCP server that extends AI agents' context window by providing tools to store, retrieve, and search memories, allowing agents to maintain history and context across long interactions.
Last updated -
10
MIT License

View all related MCP servers

OpenAI-Redis Conversation System

AI Session MCP

Features

Architecture

Session Manager

Features

Usage Example

Setup

Related MCP Servers

Perplexity AI MCP Server

MemoDB MCP Server

Tiny TODO MCP

Simple Memory Extension MCP Server

New MCP Servers

MCP directory API