Provides financial audit reporting and ledger query tools for AI agents, enabling generation of compliance, risk, and transaction reports and querying of transaction data, balances, and summaries from an in-memory SQLite database via MCP.
MCP server for the nagi-ledger audit ledger and guardrail toolkit, exposing tools to record and annotate AI agent actions, subagent dispatches, and known dead ends, plus query session reports and statistics.
Enables AI assistants to query and analyze AI agent sessions from observability providers like Shepherd (AIOBS) and Langfuse, allowing users to debug agent runs, compare sessions, track performance, and analyze LLM usage patterns.
Enables agent settlement, trust verification, and ledger operations for multi-agent workflows, with tools for blueprint management, credit tracking, and provenance recording.
Lets AI agents query, manage, and operate their LLM observability data directly from the conversation. Provides 87 tools for cost analysis, alerting, anomaly detection, and runtime control gates.