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OpenAI Gemini Llama Example — MCP Servers

Demonstrates building an AI agent using the Model Context Protocol (MCP) with open LLMs like Meta L…

Quick Info

Category
analytics

Tags

mcp
ai
database
analytics
google

Overview

Demonstrates building an AI agent using the Model Context Protocol (MCP) with open LLMs like Meta Llama 3, OpenAI, or Google Gemini, and a SQLite database. This MCP server integrates with the Model Context Protocol to provide AI agents and applications with structured access to OpenAI Gemini Llama Example'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

Model Context Protocol integration
AI agent compatibility
Standardized API access

Use Cases

Leverage OpenAI Gemini Llama Example for analytics tasks
Integrate OpenAI Gemini Llama Example with Claude and other AI assistants
Streamline analytics processes using MCP protocol