Self-hosted LLM & Supabase Platform FAQs

Question 1

Is the deployment process straightforward?

Accepted Answer

Yes, the platform is designed for containerized deployment using Docker and Docker Compose, allowing for a quick, easy, and scalable setup of the MCP server, Ollama, and associated services.

Question 2

What are the primary operations I can perform with this server?

Accepted Answer

The server provides distinct tools to `query_database`, `generate_text` (via LLM), `store_data`, and `retrieve_data`, enabling robust interaction with your LLM and Supabase database.

Question 3

Which LLM models can I use with this platform?

Accepted Answer

The platform integrates seamlessly with any self-hosted LLM models running on Ollama, including popular ones like Llama2, CodeLlama, and others you can pull via Ollama.

Question 4

How does the platform manage data storage and retrieval?

Accepted Answer

It leverages Supabase for all data persistence, offering comprehensive CRUD (Create, Read, Update, Delete) operations to store and retrieve application data efficiently, managed via exposed server tools.

Question 5

What is the main purpose of the Self-hosted LLM & Supabase Platform?

Accepted Answer

It's a comprehensive server implementing the Model Context Protocol, integrating self-hosted Ollama-based LLMs with a Supabase database for robust data management and AI application context.

Self-hosted LLM & Supabase Platform

Self-hosted LLM & Supabase Platform

Key Features

Use Cases

Key Features

Use Cases