Enables AI agents to run local, deadline-aware format and PII checks before acting, with an optional safety classifier that runs only when suspicious text can be checked in time. It provides allow/redact/block verdicts plus status and load-simulation tools for MCP clients such as Claude Code and Cursor.
An enterprise infrastructure layer for the Model Context Protocol that provides authentication, RBAC, audit logging, and rate limiting for tool calls. It acts as a secure proxy between AI agents and MCP servers to ensure security and compliance in production environments.
Enables replacing an existing MCP tool server with a gateway that emits metadata-only OpenTelemetry traces for every tool call and forwards requests to the original server.
Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.
Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.
Enables MCP clients to query seeded logs, latency/error-rate metrics, and alerts for five fictional microservices over a remote StreamableHTTP endpoint, with bearer-token access control.
Pull open jobs from Workday, Greenhouse, Lever and Ashby career sites as normalized JSON with one tool call. Change tracking returns only jobs added, edited or closed since the previous run. Calls the hosted Apify Actor: set APIFY_TOKEN; tool calls are billed pay-per-event on Apify. No browser, login or proxy.
Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.
MCP zero-trust gateway that sits in front of every internal MCP server, detects tool-poisoning/metadata drift in real time, and maintains a cryptographic provenance ledger of every agent tool call.
Enables AI agents to discover, browse, read, search, and safely write OPC UA industrial device data within controlled edge networks, with guarded two-phase writes and evidence-based root-cause diagnostics.
An MCP server that functions as an intelligent gateway for multiple LLM backends including OpenAI, Claude, and Ollama. It supports automatic provider fallback, streaming responses via Server-Sent Events, and real-time monitoring for robust AI integration.
A runnable MVP for onboarding enterprise tenants and agents, exposing governed health capabilities through MCP, storing downstream credentials, and monitoring tool activity from an analytics dashboard.
A read-only, OAuth 2.1-authenticated MCP server that lets Claude inspect the live state of a self-hosted server — system resources, containers, service and website health, n8n automations, video jobs, backups, repositories, error summaries, a component design system, uptime monitoring, and its own audit trail. All twenty-one tools are strictly observation-only, with no shell, file browser, SQL console, or Docker socket, so nothing can be started, stopped, deployed, or deleted.
A robust Model Control Protocol server that enables AI agents to access real-time cyber threat intelligence and detailed information about vulnerabilities, threat actors, malware, and other cyber-security entities.
Exposes Windows system information and control tools including hardware stats, network details, and process monitoring. It enables AI applications to retrieve real-time data about CPU, memory, drives, and active system processes.
An MCP server that allows users to check if a website is experiencing downtime by querying isitdownrightnow.com, providing status information and details about recent downtime events.
A Model Context Protocol server that provides AI agents with controlled read access to Datalust Seq instances for log analysis and monitoring. It enables agents to search events, execute data queries, and retrieve information about signals, dashboards, and alerts.
Enables AI clients to control and observe Candela LANforge test systems through a secure MCP gateway, supporting Wi-Fi stations, traffic, monitoring, events, alerts, automation, and more via about 40 tools plus dynamic universal access.
Enables AI assistants to manage and interact with Ignition Gateway 8.3+ through a curated set of tools covering gateway administration, projects, resources, tags, alarms, historian data, and script execution via the REST API.
Provides read-only access to query and retrieve information about devices, fleets, events, and configurations managed by Flight Control through a safe integration layer supporting filtering and selector-based queries.
Enables integration with Datadog APIs to monitor and retrieve information about monitors, metrics, dashboards, logs, events, and incidents through the Model Context Protocol.