Jiso - Model Context Protocol Specialized Database Assistant

Jiso helps you interact with databases using natural language, making it easy to query and manage your data without writing complex code.

Features

• 🔐 Secure Access: Uses AWS Secrets Manager for database credentials (no hardcoded passwords)
• 🛡️ Query Safety: Only allows SELECT operations with built-in SQL injection protection
• 🔌 MCP Architecture: Built on Model Context Protocol for extensible tool integration
• 📊 Database Tools: List tables, describe schemas, count records, and execute safe queries
• 🎯 Row Limiting: Automatic query result limiting to prevent resource exhaustion
• 🧠 AI-Powered: Llama 3 via Ollama for natural language understanding
• 💬 Streaming Chat: Real-time conversational interface like ChatGPT/Claude with intelligent query detection
• 🎯 Database Focused: Redirects non-database queries to maintain professional scope
• 🔍 Smart Intent Detection: Automatically detects and routes database vs general queries

Prerequisites

• Python 3.8+
• Ollama installed and running locally
• Llama 3 model available in Ollama (ollama pull llama3:latest)
• AWS CLI configured with appropriate permissions
• PostgreSQL database accessible from your environment
• AWS Secrets Manager secret containing database credentials

Core Functionality

Interactive Chat Interface

The primary feature is the intelligent chat interface (python chat_with_database.py):

• Natural Language Processing: Ask questions in plain English
• Real-time Streaming: Responses appear word-by-word like modern AI assistants
• Database Focus: Automatically redirects non-database queries back to database operations
• Smart Detection: Recognizes different types of database queries and routes appropriately

Available Database Operations

• Table Discovery: "What tables are available?" or "How many tables are there?"
• Schema Analysis: "Show me the structure of web_items" or "Which table has the most columns?"
• Record Counting: "How many records are in web_items?"
• Data Retrieval: "Show me 10 latest data from web_items" or "Find recent items"

MCP Server Tools

• get_tables: List all database tables
• describe_table: Get table schema and column information
• get_all_schemas: Compare schemas across multiple tables
• count_records: Count rows in a specific table
• execute_select: Run safe SELECT queries with automatic limiting

Security Features

• ✅ SELECT-only queries: Only SELECT statements are allowed
• ✅ SQL injection protection: Query validation with word-boundary keyword detection
• ✅ Row limiting: Automatic LIMIT clause enforcement (max 1000 rows)
• ✅ Credential security: No database credentials in code or logs
• ✅ AWS integration: Leverages AWS IAM and Secrets Manager

Example Conversations

Database Queries (Streamed Responses)

👤 You: What tables are in the database?
🔍 Detected database query: get_tables
⏳ Querying database...
📊 Database query completed! Generating response...

🤖 Assistant: I found 3 tables in your database: web_items, web_raw_content, 
and web_translated_content. Each table serves a different purpose for storing 
web content and translations.

👤 You: List all the table with the most column  
🔍 Detected database query: get_all_schemas
⏳ Querying database...
📊 Database query completed! Generating response...

🤖 Assistant: After analyzing all tables, here's the column count comparison:
- web_items: 23 columns (most columns)
- web_raw_content: 8 columns  
- web_translated_content: 6 columns

The web_items table has the most columns with 23 total columns.

Non-Database Queries (Focused Redirection)

👤 You: who is barack obama?
🤖 Assistant: Hello! I'm happy to help, but I must politely redirect you. 
The question "who is barack obama?" is not related to our PostgreSQL database queries.

Instead, let's explore some exciting database-related questions! Here are a few suggestions:
- What tables are available?
- Show me the structure of [table_name]
- How many records are in [table_name]?
- Show me sample data from [table_name]

Project Structure

alin/
├── src/
│   ├── __init__.py
│   ├── server.py          # Main MCP server implementation
│   ├── database.py        # PostgreSQL connection manager
│   ├── security.py        # Query validation and security
│   └── config.py          # Configuration management
├── main.py                # MCP server entry point
├── chat_with_database.py  # Interactive chat interface
├── test_server.py         # Test suite
├── requirements.txt       # Python dependencies
├── .env.example          # Environment template
└── README.md             # This file