ai-firewall-mcp is an open-source MCP server component for AI Firewall, providing a security layer for large language models. Below are 30 other ai apps with similar functionality to ai-firewall-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
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.
cheetah-firewall-mcp is an MCP server designed to enhance agent input safety by scanning for prompt-injection, checking URL reputation, and verifying on-chain agent trust. It provides an API for developers to integrate security checks into their AI agent workflows, with a free tier available.
MCPShield Agent is an open-source CLI tool that uses AI to scan and secure MCP servers. It automates vulnerability detection and integrates with agent-based security workflows, helping administrators maintain secure server environments.
Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.
MCPfinder is an open-source tool that helps AI agents discover and configure Model Context Protocol (MCP) servers. It inspects trust signals, manages environment variables, and generates install-ready configurations, streamlining integration for developers building AI agents that interact with external tools and data sources.
alpha-forge-mcp is an open-source MCP server that exposes the AlphaForge CLI to AI coding tools like Claude Code and Cursor. It facilitates quant trading, backtesting, and integration via the Model Context Protocol for developers and AI tool builders.
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.
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.
MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust
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.
allstar-mcp is an open-source MCP server that wraps ASL3-API REST endpoints, allowing AI agents to control amateur radio nodes. It is designed for developers and hobbyists working with AllStar Link and AI automation in radio communications.
air-blackbox-mcp is an open-source CLI tool and MCP server that scans AI agent code for compliance with the EU AI Act, GDPR, and bias detection. It helps developers and compliance teams analyze, remediate, and protect AI systems against regulatory risks.
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.
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.
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.
MCP Manager is a Windows application that centralizes the configuration and management of Model Context Protocol (MCP) servers for AI development tools. It streamlines syncing, testing, and backing up server configs for developers using multiple AI coding assistants and IDEs.
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.so is a third-party marketplace for discovering, searching, and integrating MCP servers and clients. It provides a large collection of MCP servers, supports AI and agent integrations, and offers installation via API, CLI, and Docker. Designed for developers building AI-powered applications.
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. It supports secure agent management and integrates with existing compliance workflows. Designed for developers and teams building or managing AI agents.
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.
fmod-studio-mcp is an open-source MCP server that allows AI agents and developers to control FMOD Studio in real time via its scripting terminal. It provides full access to the FMOD Scripting API over TCP, enabling advanced audio automation and integration for game and audio applications. Ideal for developers working with AI-driven audio workflows.
FrootAI MCP Server is an open-source Python implementation of the FAI Engine, providing an MCP server for orchestrating AI agent tools and workflows. It is designed for AI developers and researchers needing robust agent management and integration capabilities.
maa-mcp is an open-source MCP server based on MaaFramework, enabling automation of Android and Windows desktop tasks for AI assistants. It supports integration with OCR and various automation workflows for developers building AI-powered automation solutions.
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.
opnsense-mcp-server is an open-source Python package that implements a secure Model Context Protocol (MCP) server for managing OPNsense firewalls. It enables integration with AI assistants for automated firewall management and control.
asmhunter-mcp is an open-source MCP server that enables AI-driven bug-bounty reconnaissance, monitoring, triage, and reporting. It is designed for security professionals and integrates with AI agents to streamline vulnerability discovery and management.
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.
tappy-mcp is an open-source command-line tool for discovering, configuring, running, inspecting, and monitoring Model Context Protocol (MCP) servers across AI clients. It provides infrastructure engineers and developers with essential tools to manage and monitor MCP-based AI deployments efficiently.
Security scanner for MCP (Model Context Protocol) servers - pentest your AI agent's tool connections
memanto-mcp is an open-source Model Context Protocol (MCP) server that provides persistent semantic memory for AI agents. It enables agents to store and retrieve structured knowledge, supporting advanced agent workflows and interoperability.
