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Runtime governance, proof, outcome closure, and fleet intelligence for MCP-compatible AI agents.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.getmarrow/marrow" MCP server from askskill: Run: claude mcp add 'io-github-getmarrow-marrow' -- npx -y @getmarrow/mcp
Approval gate and audit trail for AI agent actions: policy check first, proof after. Any MCP client.
Marrow gives your agent a governance loop that compounds. With @getmarrow/mcp, any MCP-compatible client can ask Marrow before risky work, inspect live loop state during work, collect required proof, and commit outcomes when the work is done. That means your agent stops operating without accountability and starts carrying forward real decision history. Your agent stops repeating the same mistake