AEGIS Governance — six-gate decision evaluation with hash-chained audit trails (stdio via PyPI + hosted Streamable HTTP)
A quantitative governance server for AI agents and engineering decisions. It evaluates proposals through six gates—Risk, Profit, Novelty, Complexity… 10 tools, with
Overview
MCP.so lists AEGIS Governance — six-gate decision evaluation with hash-chained audit trails (stdio via PyPI + hosted Streamable HTTP) as an MCP server. The source repository is undercurrentai/aegis-mcp. The linked project documentation is the place to check installation, configuration and credentials for this server.
Getting started
Use the project documentation to configure the documented connection or installation method.
Frequently asked questions
Where can I find the documentation for AEGIS Governance — six-gate decision evaluation with hash-chained audit trails (stdio via PyPI + hosted Streamable HTTP)?
Open the project documentation linked on this page. The MCP.so listing is also included under Sources and documentation.
How do I connect to AEGIS Governance — six-gate decision evaluation with hash-chained audit trails (stdio via PyPI + hosted Streamable HTTP)?
Use the project documentation to configure the documented connection or installation method.
What connection type or credentials do I need?
Check the project documentation for the exact client configuration and access requirements.
Sources and documentation
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