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. Below are 27 security & compliance platforms apps with similar functionality to agent-policy-enforcement-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-mcp is an open-source Python package for generating tamper-evident, hash-chained audit logs for agent-to-agent calls. It supports MCP, HMAC signing, and compliance with EU AI Act and DORA requirements, making it suitable for regulated AI systems.
MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust
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.
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.
agent-harnesses-mcp is an open-source MCP server that provides recommendations, search, and head-to-head decision guides for over 100 agent harnesses. It is designed for AI developers and researchers working with LLM-based agents, offering weekly rescoring and structured comparison tools.
Verifiable agent-to-agent task handoff with signed provenance chain. Initiating agent signs the offer, accepting agent signs acceptance, chain is verifiable offline. Non-repudiable A2A delegation.
agentdrive-mcp is an open-source MCP server designed for use with Claude Code, enabling agent-driven automation and integration via API. It is suitable for developers building automation systems and agent frameworks.
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.
<!-- ~ Copyright (c) 2025-2026 Datalayer, Inc. ~ ~ BSD 3-Clause License --> [](https://datalayer.io) [](https://github.com/sponsors/datalayer) # 🤖 👨💻 Agent Codemode [](https://pypi.org/project/agent-codemode) **Generate programmatic tools from MCP Servers and Skills.** ## What is Agent Codemode? Agent Codemode generates **programmatic tools** from two sources: 1. **MCP Servers** - Connect to any MCP server and generate typed Python bindings for its tools 2. **Skills** - Reusable code patterns that compose multiple tools into higher-level operations These programmatic tools can be: - **Used directly by an agent** - Import generated bindings and call tools from your agent's code - **Exposed as an MCP Server** - Serve the generated tools via MCP protocol for any MCP-compatible client <p align="center"> <img src="https://images.datalayer.io/products/mcp-codemode/demo-claude-list-tools.png" width="55%" alt="" /> <img src="https://
mcpolish is a command-line static linter for Model Context Protocol (MCP) servers. It helps developers catch vague, colliding, or misleading tool descriptions before AI agents interact with them, improving reliability and clarity in agentic workflows.
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.
shieldclaw-mcp is an open-source CLI tool that acts as a permission layer for AI agent tool calls on Model Context Protocol (MCP) servers. It enables allow, deny, or ask policies with comprehensive audit logging, helping developers enforce security and compliance in AI agent infrastructure.
agent-commerce-protocol-mcp is an open-source CLI tool that bridges payment protocols like Stripe ACP, Google AP2, and Coinbase x402 for agent payments in AI systems. It enables seamless agent-based commerce and pay-per-call flows for developers.
mcp-defense is a CLI tool for AI infrastructure engineers and security teams, providing kernel-native runtime defense for AI agents. It enforces MCP tool-call policies and correlates kernel events to secure agentic workloads such as Claude Code, Codex, and Devin.
agent-brain-ag-mcp is an open-source Model Context Protocol (MCP) server that exposes Agent Brain as MCP tools, resources, and prompts. It enables developers to integrate Agent Brain capabilities into agent-based applications, supporting RAG workflows and Claude integration. Ideal for AI developers seeking extensible agent frameworks.
Works With Agents MCP Server — 14 native tools for AI agent infrastructure. Facts, Pitfalls, Skills, Handoff Protocol, Blueprint Registry, Trust Scores, Identity Verification, SLA Validation, Compliance-as-Code.
Minimal stdio MCP server for parallel task execution by AI agents
Security scanner for MCP (Model Context Protocol) servers - pentest your AI agent's tool connections
cctx-mcp is an open-source MCP server designed for AI agents, offering structured code analysis that significantly reduces token usage. It integrates with Tree-sitter and is aimed at developers building efficient AI-powered code tools.
central-mcp is an open-source Python package that serves as an agent-agnostic MCP hub for managing and orchestrating multiple coding agents. It enables AI developers to coordinate various coding agents using the Model Context Protocol (MCP).
agentegrity is an open-source CLI tool and standard for evaluating, enforcing, and proving the integrity of autonomous AI agents. It helps AI researchers and developers ensure agents are adversarially coherent, portable, and verifiably assured for secure deployment.
agent-prompt-injection-firewall-mcp is an open-source CLI firewall that scans prompts, RAG documents, tool arguments, and agent-to-agent payloads for OWASP LLM01 prompt injection vulnerabilities. It uses pattern-based and heuristic detection, integrates with MCP, and provides signed attestations for compliance. Designed 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.
agent-policykit is an open-source Python CLI tool that helps AI engineers and developers generate and safely update agent-specific instruction files based on centralized engineering policies. It streamlines policy management for coding agents and supports secure, automated workflows.
agent-rate-limiter-mcp is an open-source CLI tool providing a shared rate limiter for agent-to-agent and multi-MCP deployments. It ensures fleet-wide quota enforcement, concurrency control, and integrates with MCP servers to prevent abuse and overuse.
agentsec-cli is an open-source CLI tool that performs static security analysis on AI coding agents and Model Context Protocol (MCP) configurations. It helps developers and security teams identify vulnerabilities and misconfigurations in agent-based AI systems before deployment.
A durable DAG-based planner MCP utility for agent orchestration
