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. Below are 7 ai & ml apps with similar functionality to cheetah-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.
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.
mcp-mcts is an open-source CLI tool for local MCP security scanning, attack chain analysis, inventory management, and CI integration. It supports optional Semgrep and LLM analysis, making it suitable for security engineers and DevOps teams focused on codebase security.
Security scanner for MCP (Model Context Protocol) servers - pentest your AI agent's tool connections
Security scanner for MCP servers — detect prompt injection, credential leaks, exposed endpoints, and tool poisoning
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.
mcp-fence is an open-source CLI tool for security scanning, protocol inspection, dynamic fuzzing, and sandboxed testing of Model Context Protocol (MCP) servers. It helps AI infrastructure engineers identify vulnerabilities and generate security reports.
