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Six-gate governance for AI agents: PROCEED/PAUSE/HALT decisions with hash-chained audit trails.
Six-gate governance for AI agents: PROCEED/PAUSE/HALT decisions with hash-chained audit trails.
Remote endpoints: streamable-http: https://mcp.aegis.undercurrentholdings.com/mcp
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
Endpoint verified · Requires authentication · 2 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: AEGIS_API_KEY
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
Quantitative governance for AI agents and engineering decisions. AEGIS evaluates proposals through six quantitative gates — Risk, Profit, Novelty, Complexity, Quality, Utility — and returns a structured decision (PROCEED / PAUSE / HALT / ESCALATE) with confidence scores, rationale, and a hash-chained audit trail.
Give your agent a decision gate it can call before it acts — and an audit record compliance can actually read (NIST AI RMF, EU AI Act Annex IV).
pip install "aegis-governance[mcp]"
Claude Code
claude mcp add aegis -- aegis-mcp-server
Cursor (.cursor/mcp.json) / Windsurf / any stdio MCP client:
{
"mcpServers": {
"aegis": { "command": "aegis-mcp-server" }
}
}
VS Code (.vscode/mcp.json):
{
"servers": {
"aegis": { "type": "stdio", "command": "aegis-mcp-server" }
}
}
Runs in sandbox mode out of the box. Set AEGIS_API_KEY in the server's
environment (free key)
to unlock decision history, usage reports, and risk checks. Requires Python >= 3.10.
Get a free API key at portal.undercurrentholdings.com (GitHub/Google sign-in, key provisioned automatically), then:
Claude Code
claude mcp add --transport streamable-http aegis https://mcp.aegis.undercurrentholdings.com/mcp \
--header "Authorization: Bearer YOUR_API_KEY"
Cursor (.cursor/mcp.json) / Windsurf / any streamable-http MCP client:
{
"mcpServers": {
"aegis": {
"type": "streamable-http",
"url": "https://mcp.aegis.undercurrentholdings.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
VS Code (.vscode/mcp.json):
{
"servers": {
"aegis": {
"type": "http",
"url": "https://mcp.aegis.undercurrentholdings.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
The Python SDK has a sandbox mode that works with no account at all (10 evaluations/day):
pip install aegis-governance
from aegis import Aegis
decision = Aegis().evaluate(
proposal_summary="Add Redis caching layer to reduce API latency",
risk_baseline=0.02, risk_proposed=0.05,
novelty_score=0.75, complexity_score=0.8, quality_score=0.9,
)
print(decision.status) # "proceed"
The local stdio MCP server above ships in
aegis-governance>= 1.3.0 via the[mcp]extra.
| Tool | What it does |
|---|---|
aegis_evaluate_proposal | Full six-gate evaluation of a proposal; returns PROCEED/PAUSE/HALT/ESCALATE with per-gate scores and rationale |
aegis_quick_risk_check | Fast risk screen for a proposed change |
aegis_check_thresholds | Current gate threshold configuration |
aegis_get_scoring_guide | Domain-specific guidance for deriving gate parameters (e.g. cicd) |
aegis_record_proposal | Record a proposal for later verification |
aegis_list_proposals | List recorded proposals |
aegis_verify_proposals | Verify recorded proposals against outcomes |
aegis_list_decisions | List past governance decisions |
aegis_get_decision | Fetch a specific decision with full audit detail |
aegis_crypto_status | Hash-chain audit integrity status |
AI agents make thousands of decisions with no record of why. AEGIS gives every consequential action a quantitative evaluation and a tamper-evident audit entry — so "the agent decided to deploy" becomes a signed, replayable record with gate scores and rationale.
aegis-governance (BSL-1.1)Built by Undercurrent — Agency over agents.
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