Merge pull request #7791 from scottbitbot2502/add-aperion-shield

Add AperionAI/shield to Security section 🤖🤖🤖

README.md

@@ -2678,6 +2678,7 @@ Tools for conducting research, surveys, interviews, and data collection.
 - [KOVY/agentforge-trust-mcp](https://github.com/KOVY/agentforge-trust-mcp) [![agentforge-trust-mcp MCP server](https://glama.ai/mcp/servers/KOVY/agentforge-trust-mcp/badges/score.svg)](https://glama.ai/mcp/servers/KOVY/agentforge-trust-mcp) 📇 ☁️ - Query the AgentForge Trust Score (0-100 across five dimensions: security, code health, behavioral audit, community trust, EU compliance) for any MCP server before connecting. Exposes `check_trust`, `evaluate_policy`, `list_trusted`, and `recommend` tools. 3,600+ servers audited, free public API.
 - [agentgraph-co/agentgraph](https://github.com/agentgraph-co/agentgraph) [![agentgraph-co/agentgraph MCP server](https://glama.ai/mcp/servers/agentgraph-co/agentgraph/badges/score.svg)](https://glama.ai/mcp/servers/agentgraph-co/agentgraph) 🐍 ☁️ 🍎 🪟 🐧 - Trust verification and security scanning for AI agents. Checks security posture of third-party MCP servers and tools with signed attestations (Ed25519/JWS) before interaction.
 - [AgentValet/AgentValet](https://github.com/AgentValet/AgentValet) [![AgentValet/AgentValet MCP server](https://glama.ai/mcp/servers/AgentValet/AgentValet/badges/score.svg)](https://glama.ai/mcp/servers/AgentValet/AgentValet) 📇 ☁️ 🏠 - Identity and credential governance broker for MCP servers. Issues scoped, short-lived credentials per agent to stop credential inheritance. Audit log, human approval gates, AIMS-aligned.
+- [AperionAI/shield](https://github.com/AperionAI/shield) [![AperionAI/shield MCP server](https://glama.ai/mcp/servers/AperionAI/shield/badges/score.svg)](https://glama.ai/mcp/servers/AperionAI/shield) 🦀 🏠 🍎 🪟 🐧 - Local guardrail proxy for AI coding agents. Wraps any MCP server (stdio or Streamable HTTP) and blocks destructive tool calls — DROP TABLE, rm -rf, force-push — before they execute. MCP supply-chain protection: TOFU tool-catalog pinning against rug pulls, plus tool-description and tool-result scanning for tool poisoning and prompt injection. 51 starter rules, approval gates, audit logging. Single binary, Apache-2.0.
 - [arian-gogani/nobulex](https://github.com/arian-gogani/nobulex) [![nobulex-mcp-server MCP server](https://glama.ai/mcp/servers/arian-gogani/nobulex/badges/score.svg)](https://glama.ai/mcp/servers/arian-gogani/nobulex) 📇 🏠 🍎 🪟 🐧 - Proof-of-behavior enforcement for AI agents. Define behavioral covenant rules (permit/forbid/require), enforce at runtime before execution, get SHA-256 hash-chained tamper-evident audit logs, and verify compliance independently. Cross-agent verification handshake — no proof, no transaction. MIT licensed, 4,244 tests.
 - [9hannahnine-jpg/arc-gate-mcp](https://github.com/9hannahnine-jpg/arc-gate-mcp) [![9hannahnine-jpg/arc-gate-mcp MCP server](https://glama.ai/mcp/servers/9hannahnine-jpg/arc-gate-mcp/badges/score.svg)](https://glama.ai/mcp/servers/9hannahnine-jpg/arc-gate-mcp) 🐍 - Runtime governance for MCP tool calls. Blocks prompt injection and capability abuse before tool results reach your agent.
 - [agentward-ai/agentward](https://github.com/agentward-ai/agentward) [![agent-ward MCP server](https://glama.ai/mcp/servers/agentward-ai/agent-ward/badges/score.svg)](https://glama.ai/mcp/servers/agentward-ai/agent-ward) 🐍 🏠 🍎 🪟 🐧 - Permission control plane for AI agents. MCP proxy that enforces least-privilege YAML policies on every tool call, classifies sensitive data (PII/PHI), detects dangerous skill chains, and generates compliance audit trails. Supports stdio and HTTP proxy modes.