What is Codex MCP Go?

47/100
Trust Score (D)
⚠️ Use Caution

Codex MCP Go is a infrastructure that Wraps the Codex CLI tool to enable secure, sandboxed code generation, debugging, and automation with three security levels and session persistence for iterative development workflows.. It has a Nerq Trust Score of 47/100 (D). 52 GitHub stars. Published by https://github.com/w31r4/codex-mcp-go. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

47
TRUST SCORE
D
GRADE
52
STARS
0
DOWNLOADS

What Codex MCP Go Does

Codex MCP Go is a mcp_server in the infrastructure category. Wraps the Codex CLI tool to enable secure, sandboxed code generation, debugging, and automation with three security levels and session persistence for iterative development workflows.. It is published by https://github.com/w31r4/codex-mcp-go and has no specified license. With 52 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Codex MCP Go

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

Details

Authorhttps://github.com/w31r4/codex-mcp-go
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=codex-mcp-go

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

Safer Alternatives

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Frequently Asked Questions

What is Codex MCP Go used for?
Codex MCP Go is a infrastructure tool. Wraps the Codex CLI tool to enable secure, sandboxed code generation, debugging, and automation with three security levels and session persistence for iterative development workflows..
Is Codex MCP Go free?
License: Check project page. Codex MCP Go has 52 GitHub stars.
Is Codex MCP Go safe?
Codex MCP Go has a Nerq Trust Score of 47/100 (D). Evaluate carefully.
What are alternatives to Codex MCP Go?
Top alternatives: n8n, langflow, dify. See full comparison.

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

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