What is RAG Context?
RAG Context is a data that RAG Context manages persistent memory and provides semantic search with local vector storage.. It has a Nerq Trust Score of 42/100 (E). 2 GitHub stars. Published by https://github.com/notbnull/mcp-rag-context. Last analyzed April 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 2 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What RAG Context Does
RAG Context is a mcp_server in the data category. RAG Context manages persistent memory and provides semantic search with local vector storage.. It is published by https://github.com/notbnull/mcp-rag-context and has no specified license. With 2 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use RAG Context
RAG Context is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://github.com/notbnull/mcp-rag-context |
|---|---|
| Category | data |
| License | Not specified |
| Type | mcp_server |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=rag-context
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| firecrawl | 74 | 84.3K |
| MinerU | 85 | 54.1K |
| mindsdb | 78 | 38.5K |
| PostHog | 52 | 32.1K |
| Graphiti | 52 | 23.4K |
Frequently Asked Questions
Last updated April 2026. Trust scores based on automated analysis of public data.