SSE Version of mcpDataabases
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Python
Updated Apr 24, 2025
Documentation
🗄️ DataBaseSse Project (SSE Version)
This project is the SSE version of the original "stido" release available at https://github.com/alvnavraii/mcpDataBases. It includes improvements and adaptations for managing and migrating data between PostgreSQL and SQLite databases, with features exposed via Server-Sent Events (SSE).
📁 Main Structure
- main.py: 🖥️ MCP server with tools to query, insert, update, delete, and modify tables in the PostgreSQL database, now with SSE support.
- connection.py: 🔗 Manages the connection to the PostgreSQL database.
- pg_to_sqlite.py: 🔄 Script to migrate all tables and data from PostgreSQL to SQLite.
- ecommerce.db: 🗃️ SQLite database generated from the migration (optional).
⚙️ Features
- CRUD operations: ➕ Create, 🔎 Read, ✏️ Update, and ❌ Delete records in PostgreSQL database tables.
- Table management: 🏗️ Easily create, 🛠️ alter, and 🗑️ drop tables.
- Data migration: 🔄 Automatic transfer of structure and data between PostgreSQL and SQLite.
- Advanced queries: 🧮 Execute custom SQL queries for analysis or maintenance.
- SSE support: 📡 Real-time responses using Server-Sent Events for operations and notifications.
🚀 Usage Examples
1. MCP Server (main.py)
- Run the MCP server to expose database management tools with SSE:
bash
python3 main.py- Available tools:
- 🔎
query_db(query): Executes SELECT queries and returns results via SSE. - ➕
insert_db(query): Executes INSERT statements and notifies via SSE. - ✏️
update_db(query): Executes UPDATE statements and notifies via SSE. - ❌
delete_db(query): Executes DELETE statements and notifies via SSE. - 🏗️
create_table(query): Executes CREATE TABLE statements and notifies via SSE. - 🛠️
alter_table(query): Executes ALTER TABLE statements and notifies via SSE. - 🗑️
drop_table(query): Executes DROP TABLE statements and notifies via SSE.
2. Data migration between databases
- Run the migration script to copy all tables and data from PostgreSQL to SQLite:
bash
python3 pg_to_sqlite.py- You can adapt the script to migrate data in both directions or between different schemas.
3. CRUD operation examples
- Create a record: 📝
sql
INSERT INTO users (email, password) VALUES ('user@domain.com', 'secret');- Read records: 🔍
sql
SELECT * FROM products WHERE is_active = TRUE;- Update records: 🔄
sql
UPDATE categories SET name = 'New Technologies' WHERE id = 1;- Delete records: 🚮
sql
DELETE FROM carts WHERE created_at < '2024-01-01';---
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