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Ship Safe — AI Agent Security Scanner for Developers
29 AI security agents scan your codebase for LLM vulnerabilities, MCP configuration security issues, RAG poisoning, Claude Managed Agent misconfigs, secrets,...
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87 % |
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MCP Signoff | MCP security review readiness
MCP Signoff helps teams turn MCP server scans into production-readiness evidence: risky permissions, weak auth signals, prompt-injection exposure, sensitive...
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87 % |
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MCPpedia - Find the Right MCP Server
Discover and compare 52,000+ MCP servers - each scored on security, maintenance, and efficiency with real CVE scanning. Find the right server before you inst...
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86 % |
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MCPSafe — Free MCP Server Security Scanner
Pre-install security audits for Model Context Protocol servers. AIVSS scoring, multi-LLM consensus, line-level findings. Free, no account needed.
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86 % |
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SentinelMCP — Zero-Trust Security for AI Agents
The only MCP security gateway that detects tool poisoning, rug pulls, and shadow MCP servers in real time. Built for enterprise AI teams.
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85 % |
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MCPRadar — MCP Debugging & Security Scanner
The only tool that combines MCP server debugging and security scanning. Inspect tool calls, replay requests, and automatically detect prompt injection, path...
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85 % |
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Pulrix — Quality Scores for Every MCP Server
The search engine and trust layer for AI agent tools. Quality scores, security scanning, and discovery for 17,000+ MCP servers.
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85 % |
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MCP Security Intelligence: Evidence Before Trust
Explore MCP server intelligence, trace findings to their evidence, inspect sandbox observations, and understand cross-server risks and framework mappings.
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85 % |
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Pulrix — Quality Scores for Every MCP Server
The search engine and trust layer for AI agent tools. Quality scores, security scanning, and discovery for 17,000+ MCP servers.
|
85 % |
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MCP firewall & security gateway for AI agents | MCP Trail
MCP firewall and security gateway for Model Context Protocol plus a free MCP Playground, free MCP session risk calculator, and free MCP traffic monitor: cata...
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85 % |
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ShieldMCP — MCP Security Scanner
Review MCP configuration text for credential, permission, and package-risk patterns. Static heuristics grouped around OWASP MCP Top 10 (2025).
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85 % |
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MCP Skills — Pre-Install Trust Layer for MCP Servers
The pre-install trust layer for MCP servers and AI skills. MCP Skills scores install risk, public trust pages, monitoring, badges, and API workflows across 1...
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85 % |
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MCPsight · Inspect an MCP server before you trust it
MCPsight is an open-source scanner for MCP servers. It catches prompt injection, watches local servers in a sandbox, and fails your build when a server chang...
|
85 % |
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Spanly – MCP Server Observability & Monitoring
Observability for Model Context Protocol (MCP) servers. Built for SaaS engineering teams shipping MCP in production, alongside the Datadog, Sentry, or New Re...
|
84 % |
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Nox — The security scanner that understands your AI app
Open-source security scanner with first-class AI app security: prompt injection at the call site, embedding leakage, agent over-privilege, MCP hardening, cro...
|
84 % |
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AgentScore | MCP Security Dossiers, Monitoring, and Policy Gate
Continuous monitoring for MCP packages on npm. Package reports, repo dossiers, public advisories, and a CI policy gate for teams that want enforcement.
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84 % |
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mcprotect — MCP server security scanning
scan your MCP server configs for security issues. hardcoded secrets, excessive permissions, supply chain risks, and more. OWASP MCP Top 10 mapped.
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84 % |
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Cavexia — Security for the agentic stack
Cavexia scans MCP configs for CVEs, tool poisoning, maintainer drift, and hygiene issues. Free on-demand scanner, continuous monitoring for teams, on-prem fo...
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84 % |
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MCP Scanner — Scan your MCP servers before attackers do. · by codelake
Free security scanner for Model Context Protocol (MCP) servers. Finds auth bypass, injection, SSRF, hardcoded secrets and 30+ vulnerabilities in seconds — we...
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84 % |
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SecPilot — AI Security Copilot for Vibe-Coded Apps
Scan AI-built apps, MCP agents, Web3 interfaces, dependencies, secrets, auth logic, and deployment risks before production.
|
84 % |
Detected social media networks