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Dbmc — MCP Servers

Executes SQL queries on a database via Server-Sent Events.

Quick Info

Category
analytics

Tags

mcp
database
analytics

Overview

Executes SQL queries on a database via Server-Sent Events. This MCP server integrates with the Model Context Protocol to provide AI agents and applications with structured access to Dbmc's capabilities. The server enables seamless interaction between LLMs and the underlying services through standardized protocols. Key integration points include: - Direct API access through MCP tools - Structured data exchange with AI agents - Real-time interaction capabilities - Standardized protocol compliance The server is designed to work with popular MCP clients like Claude Desktop, Cursor, and other AI development environments.

Key Features

Executes SQL queries on a database via Server-Sent Events
Model Context Protocol integration
AI agent compatibility
Standardized API access

Use Cases

Leverage Dbmc for analytics tasks
Integrate Dbmc with Claude and other AI assistants
Streamline analytics processes using MCP protocol