AEGIS Governance — six-gate decision evaluation with hash-chained audit trails (stdio via PyPI + hosted Streamable HTTP)

Name: AEGIS Governance — six-gate decision evaluation with hash-chained audit trails (stdio via PyPI + hosted Streamable HTTP)
Author: undercurrentai

@undercurrentai

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About AEGIS Governance — six-gate decision evaluation with hash-chained audit trails (stdio via PyPI + hosted Streamable HTTP)

AEGIS Governance MCP server — six-gate quantitative decision evaluation with hash-chained audit trails for AI agents. pip install aegis-governance

Basic information

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tools

Full six-gate evaluation of a proposal; returns PROCEED/PAUSE/HALT/ESCALATE with per-gate scores and rationale

Fast risk screen for a proposed change

Current gate threshold configuration

Domain-specific guidance for deriving gate parameters (e.g. `cicd`)

Record a proposal for later verification

List recorded proposals

Verify recorded proposals against outcomes

List past governance decisions

Fetch a specific decision with full audit detail

Hash-chain audit integrity status

Overview

What is AEGIS Governance?

A quantitative governance server for AI agents and engineering decisions. It evaluates proposals through six gates—Risk, Profit, Novelty, Complexity, Quality, Utility—and returns a structured decision (PROCEED, PAUSE, HALT, or ESCALATE) with confidence scores, rationale, and a hash-chained audit trail. Designed for teams that need verifiable, auditable decision records in line with standards like NIST AI RMF and EU AI Act Annex IV.

How to use AEGIS Governance?

Install via pip with the MCP extra: pip install "aegis-governance[mcp]". Then add the server to any stdio MCP client (Claude Code, Cursor, Windsurf, VS Code) using the command aegis-mcp-server. For the hosted server with all ten tools, use a Streamable HTTP transport with a free API key from portal.undercurrentholdings.com and the URL https://mcp.aegis.undercurrentholdings.com/mcp. Alternatively, use the Python SDK directly for local evaluations.

Key features of AEGIS Governance

Six quantitative gates with calibrated thresholds and drift detection
Hash-chained audit trail for tamper-evident decision records
Local sandbox mode with 10 evaluations per day, no signup
Hosted server with ten tools and free Community tier (100 evaluations/month)
Five integration surfaces: MCP, Python SDK, REST API, CLI, GitHub Action
NIST AI RMF and EU AI Act Annex IV artifact generation

Use cases of AEGIS Governance

Evaluate an AI agent's proposed action before it executes
Perform a fast risk screen on a change to infrastructure or code
Record and later verify engineering proposals with an immutable audit trail
Generate compliance-ready artifacts for regulated environments

FAQ from AEGIS Governance

Do I need an API key to use AEGIS Governance?

No, the local stdio server runs in sandbox mode with no account needed (10 evaluations per day). A free API key unlocks the hosted server with the full tool surface and higher limits.

What are the runtime requirements for AEGIS Governance?

Python >= 3.10 is required. The local server is installed via pip; no additional services or accounts are necessary in sandbox mode.

What are the evaluation limits?

The local sandbox limits evaluations to 10 per day. The hosted free Community tier provides 100 evaluations per month with no credit card required. Paid tiers for higher capacity are available.

How do I get an API key for the hosted server?

Sign up at portal.undercurrentholdings.com using GitHub or Google sign-in. A free API key is provisioned automatically and can be used immediately with the Streamable HTTP endpoint.