What is Brazilian Public Procurement?

44/100
Trust Score (E)
⚠️ Use Caution

Brazilian Public Procurement is a AI tool that Brazilian public procurement MCP providing access to PNCP tenders, contracts, and CNPJ company data.. It has a Nerq Trust Score of 44/100 (E). 71 GitHub stars. Published by https://github.com/licinexus/licinexus-mcp. Last analyzed November 2026.

Why This Score

Trust & Safety Overview

44
TRUST SCORE
E
GRADE
71
STARS
0
DOWNLOADS

What Brazilian Public Procurement Does

Brazilian Public Procurement is a mcp_server in the AI tool category. Brazilian public procurement MCP providing access to PNCP tenders, contracts, and CNPJ company data.. It is published by https://github.com/licinexus/licinexus-mcp and has no specified license. With 71 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Brazilian Public Procurement

Brazilian Public Procurement is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/licinexus/licinexus-mcp
CategoryAI tool
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=brazilian-public-procurement

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

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Frequently Asked Questions

What is Brazilian Public Procurement used for?
Brazilian Public Procurement is a AI tool tool. Brazilian public procurement MCP providing access to PNCP tenders, contracts, and CNPJ company data..
Is Brazilian Public Procurement free?
License: Check project page. Brazilian Public Procurement has 71 GitHub stars.
Is Brazilian Public Procurement safe?
Brazilian Public Procurement has a Nerq Trust Score of 44/100 (E). Evaluate carefully.
What are alternatives to Brazilian Public Procurement?
Top alternatives: MarkItDown, Fetch, Time. See full comparison.

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

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