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RAG Oil & Gas Prototype — MCP Servers

Connects diverse data sources with Large Language Models using the Multi-Context Protocol, enabling…

Quick Info

Category
autonomous-agents

Tags

mcp
ai
analytics
integration

Overview

Connects diverse data sources with Large Language Models using the Multi-Context Protocol, enabling intelligent querying and retrieval-augmented generation for an AI agent framework. This MCP server integrates with the Model Context Protocol to provide AI agents and applications with structured access to RAG Oil & Gas Prototype'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 RAG Oil & Gas Prototype for autonomous-agents tasks
Integrate RAG Oil & Gas Prototype with Claude and other AI assistants
Streamline autonomous-agents processes using MCP protocol