serverless-rag-mcp-server
The Storm MCP Server facilitates integration of LLM applications with RAG data sources and tools through an open protocol. It features context sharing, standardized tool systems, and API integration, making it useful for creating powerful embedding models and vector DBs.
Storm MCP Server with Sionic AI
Overview
Storm MCP (Model Context Protocol) Server is an open protocol designed for seamless integration between LLM applications and RAG data sources and tools. It implements Anthropic's Model Context Protocol and allows the use of the Storm Platform in Claude Desktop directly. Users can integrate Sionic AI's Storm Platform to connect custom embedding models with a vector DB product suite. Key features include context sharing for interactions between LLMs and data sources, a tool system for defining and calling tools in a standardized way, file management operations for uploading, reading, and managing files, and API integration for connecting to Storm's API endpoints.
Architecture
The architecture follows a three-tier structure involving a host (LLM application), client (protocol implementation), and server (function provider). The Storm MCP server implements the server portion to provide resources and tools to LLM applications.
Getting Started
To connect the MCP server in Claude Desktop, users need to modify the configuration file by including the MCP server settings.