security MCP Server
Static scanner for MCP-connected AI agent pipelines — 221 rules across 11 categories, 12 compliance frameworks, OWASP Agentic 10/10 + MCP 10/10, GitHub Action, SARIF, public CVE-to-rule ledger.
Discovered via github-topic:mcp and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
Output: `console`, `json`, `sarif`
`.`
90-100
`true`
Count of HIGH findings
Path to SARIF output file
Static scanner + compliance PDFs
Description
Scan passed — no findings exceed `--fail-on` threshold
Score
20
Invisible Unicode / bidi, skill frontmatter injection, SKILL.md post-install commands, data-exfil primitives, skill name hijacking, cross-tool references, rug-pull (SHA-256 pinning)
HTTP endpoints, TLS disabled, deprecated SSE, tokens in URL query strings
`@tool` param flows to shell/eval/SQL/SSRF/file/deserialization sinks (Python AST), `load_prompt()` user-path reachability
Default
Scan failed — findings meet or exceed `--fail-on` severity
`false`
Missing mutual auth, unbounded delegation, transitive trust, replay protection, schema confusion, HTTP endpoints, JWT lifetime/validation, impersonation
Copyleft licenses (AGPL/SSPL), missing licenses, DMCA-flagged packages
Comma-separated rule IDs to include
`high`
Coverage
No
Rules
Minimum severity to report
Default
Total number of findings
60-74
No
Proprietary
Missing auth middleware (CVE-2026-33032 class), empty IP allowlists, wildcard CORS, path traversal in resource handlers, SSRF (CWE-918), OAuth 2.1 misconfig (PKCE/S256/DPoP), Tasks primitive leakage (SEP-1686), shell injection
`enableAllProjectMcpServers`, API URL redirects, wildcard permissions, missing deny rules, missing allowlists
Exit 1 at this severity: `critical`, `high`, `medium`, `low`, `none`
Count of CRITICAL findings
40-59
Error — invalid path, malformed config, etc.
Description
75-89
**MIT**
Scanning Method
Meaning
`sarif`
0 = pass, 1 = findings exceed threshold
Title
`low`
0-39
Write output to file
AgentAuditKit
真实性验证技能。分析用户提供的信息、消息、图片或内容,判断其真实性和可信度,识别虚假信息、AI生成内容或伪造内容。
Container escape is a critical attack technique where an adversary breaks out of container isolation to access the host system or other containers. Detection involves monitoring for escape indicators
Pod Security Standards (PSS) define three levels of security policies -- Privileged, Baseline, and Restricted -- enforced by the Pod Security Admission (PSA) controller built into Kubernetes 1.25+. PS
Implements eBPF-based security monitoring using Cilium Tetragon for real-time process execution tracking, network connection observability, file access auditing, and runtime enforcement. Covers TracingPolicy CRD authoring with kprobe/tracepoint hooks, in-kernel filtering via matchArgs/matchBinaries selectors, JSON event export, and integration with SIEM pipelines. Use when building kernel-level runtime security observability for Linux hosts or Kubernetes clusters.
AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.
Open-source sandboxed agent harness for teams. Giving every employee a secured personal agent.
AI agent security scanner. Detect vulnerabilities in agent configurations, MCP servers, and tool permissions. Available as CLI, GitHub Action, ECC plugin, and GitHub App integration. 🛡️
A secure* runtime for autonomous AI agents. Policy from plain-English constitutions. (*https://ironcurtain.dev)
Learn how to use the absolute-audit Claude skill. Complete guide with installation instructions and examples.
Learn how to use the token-scam-analysis Claude skill. Complete guide with installation instructions and examples.
Learn how to use the absolute-upgrade Claude skill. Complete guide with installation instructions and examples.