iris-security-mcp is an open-source Python package that implements an MCP server, allowing organizations to connect Claude to AI agent governance and compliance systems. Below are 21 frameworks & sdks apps with similar functionality to iris-security-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
miosa-mcp is an open-source MCP server that exposes MIOSA computer-use tools for integration with Claude Code and other agent frameworks. It provides a standardized API for agent developers to enable automation and computer control capabilities in their AI systems.
kira-mcp is an open-source local MCP server for AI agents, providing YOLO-based UI-element detection, OCR, and full keyboard, mouse, and clipboard automation. It is designed for developers building autonomous agents that interact with desktop environments.
eip-mcp is an open-source MCP server that delivers vulnerability and exploit intelligence for AI assistants. It supports the Model Context Protocol and is designed for integration into security and AI workflows. Distributed under the MIT license.
mcp-remlezrd is an open-source server implementing the Model Context Protocol (MCP) for AI agents. It allows developers to manage, exchange, and serve context for AI workflows, supporting integration with agent frameworks and research projects.
mcp-brain is a command-line and MCP server framework for multi-agent cognitive processing. It enables developers and researchers to coordinate and execute complex agent-based workflows, supporting advanced automation and distributed AI tasks.
ucm-mcp is an open-source MCP server designed for AI-agent code navigation and mapping. It supports AST parsing and integrates with AI agents to facilitate code analysis and automation. The tool is aimed at developers building intelligent code navigation solutions or automating codebase understanding.
Security scanner for MCP (Model Context Protocol) servers - pentest your AI agent's tool connections
contextl-mcp is an open-source MCP server designed for AI coding agents. It provides repository intelligence, code search, and integrates with the Model Context Protocol, allowing developers to build advanced AI-powered code tools. Distributed under the MIT license.
liminate-mcp is an open-source Python package designed to help AI developers author governance agreements for their AI agents. It supports integration with agent frameworks and provides tools for defining operational rules and agreements.
MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust
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.
openclaw-health-mcp is an open-source MCP server for monitoring the health of AI agent deployments. It tracks gateway status, resource usage, errors, and skill registry integrity, providing cross-platform support for infrastructure operators and developers managing production AI systems.
AI-powered security code review MCP server for Claude Code — combines CodeQL, Semgrep (5,000+ rules), bandit, detect-secrets, Dependabot CLI, osv-scanner, Trivy (Docker image scanning), pip-audit, and npm-audit
mcp-server-remote is an open-source Python package that implements a remote MCP server for serving MCP clients. It is designed for developers who require MCP protocol support in their applications and can be run via the command line.
ai-firewall-mcp is an open-source MCP server component for AI Firewall, providing a security layer for large language models. It helps AI security engineers protect LLM deployments from prompt injection and jailbreak attacks using a multi-agent approach.
qonoro-mcp is an open-source Python package that implements an MCP server, exposing Qonoro's x402 intelligence agents as tools for any MCP-compatible AI agent client. It supports self-hosted deployment, API endpoints, and CLI usage, making it suitable for AI developers and researchers seeking to integrate advanced agent capabilities into their 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.
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).
jupyter-mcp-server is an open-source Python package that implements a Model Context Protocol (MCP) server for use within Jupyter environments. It allows developers to integrate MCP capabilities into their Jupyter workflows, supporting advanced model context management and interoperability. Designed for developers working with Jupyter notebooks and related tools.
MCP server for Sentinel QA — manage test cases from any AI assistant
MCP (Model Context Protocol) server for pyscn Python code analyzer
