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MCP server · Agents

Aidress Skill Check Trust Before Multi Agent Transaction

by · github.com/Aidress-ai/aidress-skill-check-trust-before-multi-agent-transaction

Check Trust Before a Multi-Agent Transaction. Agent discovery, trust verification, and capability routing powered by Aidress — the coordination registry for autonomous AI agents. Use for general agent discovery, trust verification, and capability routing — via Aidress (https://api.aidress.ai).

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Scored 28 days ago · breakdown

About Aidress Skill Check Trust Before Multi Agent Transaction

Aidress Skill Check Trust Before Multi Agent Transaction is an MCP server published by Aidress-ai in the Agents category: check Trust Before a Multi-Agent Transaction. Agent discovery, trust verification, and capability routing powered by Aidress — the coordination registry for autonomous AI agents. Use for general agent discovery, trust verification, and capability routing — via Aidress (https://api.aidress.ai).

The repository has 2 stars and 0 forks.

Install

From source
git clone https://github.com/Aidress-ai/aidress-skill-check-trust-before-multi-agent-transaction

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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About Aidress Skill Check Trust Before Multi Agent Transaction

How do I install Aidress Skill Check Trust Before Multi Agent Transaction?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Aidress Skill Check Trust Before Multi Agent Transaction safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Aidress Skill Check Trust Before Multi Agent Transaction still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.