RAG MCP
RAG MCP Server with Supabase and Cohere integration for data retrieval and generation.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
UnverifiedOverview
What is RAG MCP?
This tool provides a Retrieval-Augmented Generation (RAG) server that integrates with Supabase and Cohere to offer efficient data retrieval and generation capabilities. It is designed for developers looking to enhance their applications with AI-driven content generation and information retrieval features.
Key differentiator
“The tool uniquely combines Supabase for data retrieval with Cohere's text generation, offering developers a self-hosted solution to integrate RAG into their applications.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary documentation and examples are focused on JavaScript and Python, lacking comprehensive support for other languages
GitHub repository has low activity with few contributors and minimal external integration plugins or extensions available
Fit analysis
Who is it for?
✓ Best for
Developers who need to integrate RAG capabilities with Supabase for efficient data retrieval.
Projects requiring Cohere's text generation capabilities within a self-hosted environment.
✕ Not a fit for
Teams needing real-time streaming capabilities (batch-only architecture)
Budget-constrained projects where cost of integration and deployment is a concern
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Works well with
Next step
Get Started with RAG MCP
Step-by-step setup guide with code examples and common gotchas.