MCPDatabasesSSE
@alvnavraii
About MCPDatabasesSSE
SSE Versión of the MCPDatabases server
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"SqliteManagement": {
"command": "/home/slendy/MCPProjects/DataBase/.venv/bin/python",
"args": [
"/home/slendy/MCPProjects/DataBase/main.py",
"--engine",
"sqlite",
"--url",
"sqlite:////home/slendy/MCPProjects/DataBase/ecommerce.db"
]
},
"PostgressManagement": {
"command": "/home/slendy/MCPProjects/DataBase/.venv/bin/python",
"args": [
"/home/slendy/MCPProjects/DataBase/main.py",
"--engine",
"postgresql",
"--url",
"postgresql://postgres:postgres@localhost:5433/ecommerce"
]
}
}
}Tools
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Overview
What is MCPDatabasesSSE?
MCPDatabasesSSE is a Model Context Protocol server that provides tools for executing SQL queries and managing PostgreSQL databases. It is built with FastMCP and communicates via SSE (Server-Sent Events) transport, making it suitable for AI assistants that need to interact with a PostgreSQL database.
How to use MCPDatabasesSSE?
The server runs on host 0.0.0.0 port 8050 and exposes tools for querying, inserting, updating, deleting, and schema operations (create/alter/drop tables). No installation or configuration details are provided in the README.
Key features of MCPDatabasesSSE
- Exposes seven database operation tools via MCP
- Supports query, insert, update, delete, and schema changes
- Uses SSE transport for real-time communication
- Connects to a PostgreSQL database via a
connectfunction - Built on the FastMCP framework
Use cases of MCPDatabasesSSE
- Allowing an AI assistant to run SELECT queries and return results
- Enabling an AI to insert new records into a PostgreSQL table
- Letting an AI create or alter database tables programmatically
FAQ from MCPDatabasesSSE
What dependencies are required to run MCPDatabasesSSE?
—
How is the database connection configured?
—
What transport does the server use?
—
Are there any security or authentication mechanisms?
—
Basic information
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