What is tachibot-mcp?

57/100
Trust Score (D)
⚠️ Use Caution

tachibot-mcp is a infrastructure that Stop AI Hallucinations Before They Start Run models from OpenAI, Google, Anthropic, xAI, Perplexity, and OpenRouter in parallel. They check each other's work, debate solutions, and catch errors before. It has a Nerq Trust Score of 57/100 (D). 15 GitHub stars. Published by Unknown. Last analyzed November 2026.

Why This Score

Trust & Safety Overview

57
TRUST SCORE
D
GRADE
15
STARS
0
DOWNLOADS

What tachibot-mcp Does

tachibot-mcp is a mcp_server in the infrastructure category. Stop AI Hallucinations Before They Start Run models from OpenAI, Google, Anthropic, xAI, Perplexity, and OpenRouter in parallel. They check each other's work, debate solutions, and catch errors before you see them.. It is published by an independent developer and has no specified license. With 15 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use tachibot-mcp

tachibot-mcp is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorUnknown
Categoryinfrastructure
LicenseNot specified
Typemcp_server
SourceView on GitHub
Security Score0/100
Activity Score1/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=bypawel-tachibot-mcp

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

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Frequently Asked Questions

What is tachibot-mcp used for?
tachibot-mcp is a infrastructure tool. Stop AI Hallucinations Before They Start Run models from OpenAI, Google, Anthropic, xAI, Perplexity, and OpenRouter in parallel. They check each other's work, debate solutions, and catch errors before.
Is tachibot-mcp free?
License: Check project page. tachibot-mcp has 15 GitHub stars.
Is tachibot-mcp safe?
tachibot-mcp has a Nerq Trust Score of 57/100 (D). Use with caution.
What are alternatives to tachibot-mcp?
Top alternatives: n8n, langflow, dify. See full comparison.

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

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