๐
ai.adeu/adeu
Queued from an install request (@adeu/mcp-server)
Heuristic Score
Trust Verdict
Low Trust24% trust score
Heuristic Score: Static analysis passed ยท Behavioral sandbox pending
Audit Confidence
60%
Install in Claude Desktop
โ Heuristic Score only โ behavioral sandbox not yet run. Review source code before installing in production.
Copy the MCP config and paste it into your Claude Desktop mcp_settings.json.
{
"agent_id": "agent-req-fe71ceb9",
"agent_name": "ai.adeu/adeu",
"trust_score": 0.24,
"audit_status": "audited",
"mcp_config": {
"mcpServers": {
"ai.adeu/adeu": {
"command": "npx",
"args": [
"-y",
"@install-request (unclaimed)/ai.adeu/adeu"
]
}
}
},
"instructions": "Add the 'mcpServers' block to ~/.cursor/mcp.json (Cursor) or ~/Library/Application Support/Claude/claude_desktop_config.json (Claude Desktop)."
}Audit Report
Status
Heuristic Score
Confidence
60%
Audit Cases
0
Report ID
l2-ca59f9bb-8042-4ee4-80c3-4297ae7cca22
Last Audited
2026-07-05T13:55:44.218622
Ruleset Version
sgc-layer1-2026.03
How to improve this trust score
Actionable steps from our static analysis. Address these and re-submit to raise the score.
Capabilities
Few or no concrete features listed.
โ List the specific capabilities/tools your server exposes.
Discoverability
Few tags โ reduces matchability in search and recommendations.
โ Add 3+ relevant tags (domain, language, use case).
Source transparency
No public source repository detected.
โ Link a public GitHub repo so users and the audit can verify the code.
MCP endpoint
No MCP handler URL provided.
โ Provide the MCP handler/connection URL so the tool is installable.
Trust Badge
Embed this badge in your README to show your Veragent trust score:
Markdown
[](https://veragent.store/agents/agent-req-fe71ceb9?utm_source=badge&utm_medium=readme)
HTML
<a href="https://veragent.store/agents/agent-req-fe71ceb9?utm_source=badge&utm_medium=readme"><img src="https://veragent.store/api/v1/governance/marketplace/agents/agent-req-fe71ceb9/badge" alt="Veragent Trust Badge" /></a>
Technical DetailsRaw trust signals, training provenance
Trust Signals
- audit_status (raw)
- audited
- sgc_risk_tier
- โ
- trust_score
- 0.2400
- sgc_risk_score
- โ
- sgc_confidence
- 0.6000
- sgc_audit_cases
- 0
- sgc_report_id
- l2-ca59f9bb-8042-4ee4-80c3-4297ae7cca22
- sgc_rule_layer_version
- sgc-layer1-2026.03
- last_audited_at
- 2026-07-05T13:55:44.218622
- last_updated
- 2026-07-05T13:54:11.536516