"Information about OPNsense firewall and routing platform" matching MCP servers:

MCP server for managing OPNsense firewall via REST API, with tools for system status, services, DHCP, DNS, firewall rules, and NAT port forwards.

Enables interaction with OPNsense firewalls through MCP tools for managing firewall rules, interfaces, DHCP leases, and system monitoring.

Governed OPNsense + pfSense firewall operations — gateway-health, rule-shadow, and blocked-traffic RCA, with guarded rule/alias writes, unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.

OPNsense firewall operations via API & mcp. Query ARP, DHCP, firewall rules, logs, interfaces, system status, and packet capture via STDIO or SSE.

Provides complete programmatic access to OPNsense core APIs, enabling firewall automation, VPN management, and system administration through a comprehensive MCP server.

Enables cost-aware LLM routing over MCP with verification-based cascading, offering tools for routing queries, resuming escalated approvals, estimating costs, comparing policies, and explaining routing decisions, plus read-only resources and a policy-selection prompt.

A secure MCP server for managing OPNsense firewalls through AI assistants. Provides 81 tools across system, firewall, network, DNS, DHCP, VPN, HAProxy, services, diagnostics, and security domains.

An MCP routing proxy that prevents LLMs from executing unintended tools. It securely curates, filters, and routes tools from multiple backend MCP servers. (LLMが意図しないツールを実行するのを防ぐMCPルーティングプロキシ。複数のバックエンドMCPサーバーからのツールを安全にキュレーション、フィルタリング、ルーティングします。)

An MCP server that integrates with Juniper's Routing Director platform, providing intelligent access to network routing, assurance, optimization, and intelligence capabilities.

Enables AI clients to manage OPNsense firewall, interfaces, DHCP, DNS, routes, and services via natural language through 42 MCP tools.

A policy-based security layer for AI agents and MCP tools that evaluates tool requests against security policies before allowing, denying, or requiring human approval for execution.

A Model Context Protocol (MCP) server implementation for managing OPNsense firewalls. This server allows Claude and other MCP-compatible clients to interact with all features exposed by the OPNsense API.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

An asynchronous MCP server for Sophos Firewall, enabling AI assistants to manage, audit, and troubleshoot network security infrastructure.

A multi-agent AI security layer that protects LLMs from prompt injection, jailbreaks, and policy violations via MCP tools.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Enforces deterministic security policies on Model Context Protocol traffic between agents and remote MCP servers, including request validation, signed human approval, response-side credential blocking, prompt-injection flagging, and privacy-minimized auditing.

Enables firewall policy governance by querying CMDB assets and auditing Panorama/Firewall policies. Supports asset searches, firewall object inspection, and security policy auditing to identify matching rules and configurations.

Routes tasks to the appropriate model across cloud, on-device, and org-hosted endpoints based on sensitivity, role, and difficulty, with provable egress control to keep sensitive content within trust boundaries.

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.