What is Rs Fast MCP?

40/100
Trust Score (E)
⚠️ Use Caution

Rs Fast MCP is a infrastructure that High-performance async Rust framework for building MCP servers with OAuth2/OIDC authentication, rate limiting, and caching middleware.. It has a Nerq Trust Score of 40/100 (E). 2 GitHub stars. Published by https://github.com/neuro-ng/rs-fast-mcp. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

40
TRUST SCORE
E
GRADE
2
STARS
0
DOWNLOADS

What Rs Fast MCP Does

Rs Fast MCP is a mcp_server in the infrastructure category. High-performance async Rust framework for building MCP servers with OAuth2/OIDC authentication, rate limiting, and caching middleware.. It is published by https://github.com/neuro-ng/rs-fast-mcp and has no specified license. With 2 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Rs Fast MCP

Rs Fast MCP is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/neuro-ng/rs-fast-mcp
Categoryinfrastructure
LicenseNot specified
Typemcp_server
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=rs-fast-mcp

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

ToolTrustStars
n8n69177.3K
langflow77145.4K
dify70130.8K
open-webui60124.5K
gemini-cli6099.5K

Frequently Asked Questions

What is Rs Fast MCP used for?
Rs Fast MCP is a infrastructure tool. High-performance async Rust framework for building MCP servers with OAuth2/OIDC authentication, rate limiting, and caching middleware..
Is Rs Fast MCP free?
License: Check project page. Rs Fast MCP has 2 GitHub stars.
Is Rs Fast MCP safe?
Rs Fast MCP has a Nerq Trust Score of 40/100 (E). Evaluate carefully.
What are alternatives to Rs Fast MCP?
Top alternatives: n8n, langflow, dify. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

We use cookies for analytics and caching. Privacy Policy