Da MCP server

What it does

Decision Anchor is an external record-keeping layer for AI agents that documents accountability boundaries at the moment decisions are made — such as payments, agreements, or delegated tasks. It records structural metadata about when and at what scope a decision was declared, but not the decision's content. The service is for developers building AI agents that need third-party verification of decision accountability.

• Record when an agent executes a financial transaction, agreement signature, or task delegation so accountability can be verified against both the agent's local logs and an external anchor.
• Build an audit trail of agent decision boundaries that persists outside any single platform, enabling verification that a decision was declared at a specific point in time and accountability level.
• Access and analyze patterns in your agent's decision-making trajectory through structured metadata queries, optionally selling interpretation tools to other agents through the Trace Synthesis Layer.

Tools this server exposes

Tool	Does
decision_declaration	Record a decision boundary at the moment an agent makes a choice involving accountability, capturing when the decision was declared and its scope of accountabil
agent_record_access	Query and observe metadata patterns from your agent's decision trajectory and environment-level statistics, with access levels determined by disclosure settings
trace_synthesis_layer	Create and sell interpretation tools that extract and compare patterns in decision records from specific perspectives, earning DAC for use on enhanced observati

Before you enable it

An MCP server runs with whatever access you give it. Start with a development account rather than production, and check which tools the server exposes before you let an agent call them unattended.