The Illumio MCP server is a service that provides an interface for interacting with the Illumio Policy Compute Engine (PCE), supporting the management of workloads, labels, and traffic analysis through conversational AI.

Think MCP is a project that implements an MCP server, providing the 'think' tool to support AI agents in performing structured reasoning in complex tasks, inspired by Anthropic's research. This tool helps AI process information, backtrack, or adhere to strategies by recording the thinking process, and is suitable for scenarios such as tool output analysis, policy-intensive environments, and sequential decision-making.

Janee is an AI agent key management tool based on the MCP protocol. It securely stores and injects API keys as an intermediary, enabling agents to call services without touching the original keys. It also provides complete audit logs, access policy control, and session management functions.

The Binalyze AIR MCP Server is a Node.js server implementing the Model Context Protocol (MCP), providing natural - language interaction capabilities for the Binalyze AIR digital forensics and incident response platform. It supports various functions such as asset management, evidence collection, endpoint operations, and policy management, authenticates through API tokens, and can be integrated with MCP clients such as Claude and Cursor.

Preloop is a comprehensive MCP firewall and policy engine for AI agents, providing functions such as access control, approval workflows, audit trails, and an AI model gateway to fully control the behavior of AI agents.

GlassTape Policy Builder is an open-source MCP server that can convert natural language security requirements into verified Cerbos YAML policies, providing zero-trust guards for AI agents and applications.

The MCP server for stablecoin payments on the Tempo blockchain enables AI assistants to autonomously execute real - world payment operations, supporting functions such as single payments, batch payments, compliance policy management, access keys, reward management, and decentralized exchange trading.

Lex is a TypeScript framework that provides situational memory and architecture awareness for AI agents, solving the problem of context loss in long - process development. Through memory snapshots, module dependency navigation, and architecture policy execution, it enables AI assistants to remember work progress and understand code structure.

The Azure Policy MCP Server project aims to help LLM generate, validate, and deploy custom Azure policies by providing a toolset, including policy discovery, structural validation, deployment management, and compliance query functions.

The AI agent security guardrails MCP server provides security functions such as input validation, prompt injection detection, PII desensitization, output filtering, policy execution, rate limiting, and audit logging.