What is RAG Documentation Search?
RAG Documentation Search is a coding that Provides semantic document search and retrieval for context-aware responses.. It has a Nerq Trust Score of 45/100 (E). 25 GitHub stars. Published by https://github.com/sanderkooger/mcp-server-ragdocs. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 25 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What RAG Documentation Search Does
RAG Documentation Search is a mcp_server in the coding category. Provides semantic document search and retrieval for context-aware responses.. It is published by https://github.com/sanderkooger/mcp-server-ragdocs and has no specified license. With 25 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use RAG Documentation Search
RAG Documentation Search is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://github.com/sanderkooger/mcp-server-ragdocs |
|---|---|
| Category | coding |
| 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-documentation-search
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| AutoGPT | 65 | 181.9K |
| ollama | 64 | 163.0K |
| langchain | 77 | 127.8K |
| system-prompts-and-models-of-ai-tools | 64 | 115.3K |
| opencode | 78 | 108.1K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.