What is LexSocket Tenders?

39/100
Trust Score (E)
🔴 Avoid

LexSocket Tenders is a AI tool that Access European public procurement tenders from TED and 18 national platforms with hybrid search, filtering by CPV codes, NUTS regions, buyer, and value range.. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by https://github.com/lexsocket/mcp-tenders. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
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STARS
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DOWNLOADS

What LexSocket Tenders Does

LexSocket Tenders is a mcp_server in the AI tool category. Access European public procurement tenders from TED and 18 national platforms with hybrid search, filtering by CPV codes, NUTS regions, buyer, and value range.. It is published by https://github.com/lexsocket/mcp-tenders and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use LexSocket Tenders

LexSocket Tenders is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/lexsocket/mcp-tenders
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=lexsocket-tenders

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

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Frequently Asked Questions

What is LexSocket Tenders used for?
LexSocket Tenders is a AI tool tool. Access European public procurement tenders from TED and 18 national platforms with hybrid search, filtering by CPV codes, NUTS regions, buyer, and value range..
Is LexSocket Tenders free?
License: Check project page. LexSocket Tenders has 0 GitHub stars.
Is LexSocket Tenders safe?
LexSocket Tenders has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to LexSocket Tenders?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.

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

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