Self-hosted LLM & Supabase Platform
Provides a comprehensive server for the Model Context Protocol, integrating self-hosted LLM models via Ollama with a Supabase database for robust data persistence and retrieval.
About
This tool serves as a Model Context Protocol (MCP) server, designed to bridge the gap between large language models (LLMs) and structured databases. It enables seamless interaction with self-hosted LLMs like Llama2 and CodeLlama through Ollama, while leveraging Supabase for all data operations including storage, retrieval, and querying. Developers can utilize its well-defined API and integrated tools to build powerful AI applications that require both dynamic text generation and reliable data management, all within a containerized and easily deployable environment.
Key Features
- Comprehensive CRUD operations with Supabase database
- Seamless integration with self-hosted Ollama-based LLM models
- Full implementation of the Model Context Protocol specification
- 0 GitHub stars
- Containerized deployment using Docker and Docker Compose
- Extensive testing suite including unit, integration, and E2E tests
Use Cases
- Executing SQL queries on Supabase databases with contextual information from LLMs.
- Generating dynamic text responses and content using self-hosted large language models.
- Storing and retrieving structured application data within Supabase through an intelligent API.
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