RAG MCP
RAG MCP Server with Supabase and Cohere integration for data retrieval and generation.
- Status
- Not yet determined
- Last checked
- Unverified
- License
- Open source
- Pricing
- Free tier · from $0
What it is
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.
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.
When it fits — and when it doesn’t
A good fit 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.
Look elsewhere if
Teams needing real-time streaming capabilities (batch-only architecture)
Budget-constrained projects where cost of integration and deployment is a concern
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited language support beyond JavaScript and Python
Primary documentation and examples are focused on JavaScript and Python, lacking comprehensive support for other languages
- 02
Small community and limited third-party integrations
GitHub repository has low activity with few contributors and minimal external integration plugins or extensions available
What it does well
Integration with Supabase for data retrieval
Cohere integration for text generation
Self-hosted deployment flexibility
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up RAG MCP
Setup steps, common gotchas and what to check after 30 days.
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