agent-audit-logger-mcp is an open-source Python package for generating tamper-evident, hash-chained audit logs for agent-to-agent calls. Below are 11 other infrastructure apps with similar functionality to agent-audit-logger-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
agent-audit-logger is an open-source Python middleware that wraps agent frameworks to log every tool call, providing SOC 2 audit trails for small teams and developers needing compliance and traceability.
agent-audit-kit is an open-source CLI tool that scans MCP-connected AI agent pipelines for security vulnerabilities. It helps AI security engineers ensure the safety and compliance of agent-based workflows.
agent-policy-enforcement-mcp is an open-source CLI tool that enables per-agent-pair IAM and policy enforcement for agent-to-agent (A2A) calls. It allows developers to define, enforce, and attest to policies, supporting compliance with EU AI Act and ISO 42001. Ideal for AI developers and security teams.
agent-replay-debugger-mcp is an open-source CLI tool for debugging and auditing agentic AI workflows. It records every agent step, enables deterministic replay, and exports signed audit evidence. Designed for AI developers and researchers needing transparency and reproducibility in agentic loops.
mcp-audit-scanner is an open-source CLI tool designed to audit Model Context Protocol (MCP) server configurations for security and privacy vulnerabilities. It assists security engineers in identifying and mitigating risks in AI agent infrastructure.
mcp-agent-tester is an open-source tool for inspecting, testing, and running MCP servers and agents. It provides both a web UI and CLI, supports JSON trace export, and is designed for developers working with Model Context Protocol agents and infrastructure.
mcp-agent-handoff is an open source portable MCP server designed for managing agent handoff states and review tracking in AI agent workflows. It implements the MCP protocol and can be self-hosted for integration into agentic systems.
django-mcp-inspector is an open-source Python package that provides an MCP server to expose Django runtime information to AI agents. It allows developers to integrate AI-driven automation or monitoring into their Django projects by making internal state and metrics accessible. Ideal for developers building intelligent or autonomous systems on Django.
Agent complaint box — one-tool MCP for logging bugs and improvement requests
MCP server that diagnoses why your agent behaved the way it did, and how to fix it
codebase-agent-mcp is an autonomous agent designed to provide token-efficient code analysis, documentation retrieval, and implementation guidance for large library repositories. It leverages OpenAI-compatible LLMs and supports integration via MCP and API, making it suitable for developers working with extensive codebases.
