"TP-Link" matching MCP servers:

Security-focused MCP server for TP-Link Omada Open API workflows, enabling network management via natural language.

Enables managing TP-Link Omada SDN controllers through MCP, exposing 72 tools for sites, devices, clients, networks, switch ports, firewalls, schedules, and site settings, including reboot and PoE scheduling.

MCP server that lets AI assistants monitor and manage TP-Link Omada controllers. It provides analytics and read-only queries plus write operations such as rebooting devices, blocking clients, and changing network or firewall settings.

Enables Windows-based AI assistants to run Oculus/Meta Quest Link diagnostics, capture VR screenshots and telemetry, inspect headset/controller state, and apply reversible performance-tuning and Link settings.

Enables analysis of JVM thread dumps to detect deadlocks, CPU spikes, pool exhaustion, and virtual thread pinning, returning a health score and interactive report link.

Fetches Langfuse observability traces directly into a VS Code coding agent's context, enabling querying and viewing trace data through natural language.

Exposes a Raspberry Pi homelab's systemd service health, disk usage, CPU temperature, and LAN game-server status as read-only MCP tools, letting MCP clients answer questions like "how's the homelab doing?" without SSHing in manually.

A Model Context Protocol server that enables AI assistants to interact with Sentry for error tracking and monitoring, allowing retrieval and analysis of error data, project management, and performance monitoring through the Sentry API.

Enables Linux infrastructure diagnostics and monitoring through MCP, providing tools for host, Nginx, Docker, and PostgreSQL with security and context correlation features.

Monitors and analyzes Precision Time Protocol (PTP) systems in OpenShift clusters, enabling configuration analysis, real-time log monitoring, and health checks.

Enables LLM clients to ask natural-language questions about FABRIC Testbed infrastructure metrics, with responses grounded in fixed Grafana/PromQL queries for node, switch, and link metrics.

Enables coding agents to read a replay link or a gn-tracing-*.zip package, surfacing console errors with source-mapped stacks, failed requests, and the user timeline.

Enables AI assistants to query IP Fabric network inventory and snapshots through natural language, using tools to fetch devices, interfaces, routing tables, and more.

Enables querying UniFi UDM IPS/IDS threat events and security logs stored in SQLite via MCP tools, allowing an LLM to analyze network security data with filtering and aggregation.

Enables querying and managing Sentry projects, issues, and events through natural language.

Provides live infrastructure monitoring for AI agents, including domain health checks, MCP server security posture, email blacklists, broken-link scans, and cloud vendor status. No signup or API key needed for public tools.

Enables MCP clients to query homelab infrastructure such as Proxmox VE, NetBox, systemd services, Grafana, InfluxDB, AdGuard Home, ping logs, and configured HTTP JSON endpoints through read-only tools.

Enables read-only querying and analysis of Kibana logs through a logged-in sid Cookie, including keyword/time/index searches, traceId lookups, surrounding log context, and aggregations by service, level, or host. It also validates Kibana connection status and redacts sensitive fields such as cookies, tokens, and passwords.

Read-only MCP server for Elasticsearch log querying. Enables natural language search, filtering, context retrieval, and aggregation of logs.

Enables autonomous TCP congestion-control tuning through MCP tools for benchmarking, sysctl parameter adjustments, fault injection, and runbook generation within Kubernetes clusters.