MCP servers remotos

Lets an AI client manage Rootly incidents, alerts, on-call schedules, and retrospectives through the Rootly API.

Connect AI assistants to a Keboola project to query tables, manage transformations and configurations, and run jobs and flows.

Allows AI agents to query and manage Zabbix monitoring data, including hosts, triggers, problems, and maintenance periods.

Connect AI assistants to Dynatrace to query observability data, analyze problems, and manage infrastructure through domain-specific skills.

Lets an AI client manage UniFi Network, Protect, and Access systems with safety guardrails like dry-runs and audit logs.

Provides AI agents with structured access to NetBox DCIM and IPAM data for querying, searching, and managing network infrastructure objects.

Acts as a governance proxy between AI agents and MCP servers to enforce allowlists, dry runs, human confirmation, and audit trails.

Lets an AI client run allowlisted, audited commands and structured file edits on Linux, macOS, and Windows hosts.

Allows AI agents to search, compare, and back up network device configurations stored in Oxidized.

Connects an AI assistant to your UniFi network to manage devices, review Protect camera events, and configure network settings.

Govern AI agent tool calls and model usage through an MCP firewall, model gateway, and automated software factory flows.

Lets an AI client query and manage LibreNMS network monitoring data, including devices, ports, alerts, logs and graphs.

Manages Nife.io cloud applications, sites, secrets, and Git integrations through a GraphQL-powered MCP interface.

Manage your AceData Cloud account, including services, pricing, API keys, billing, and deployments, through an AI client.

Lets an AI client control Apache Airflow via APIs to manage DAGs, tasks, and connections.

Enables AI agents to orchestrate workflows, manage DAGs, control process instances, and perform data operations within Apache DolphinScheduler.

Provides self-hosted code intelligence for cross-repository Q&A, dependency audits, and automated pull request reviews via MCP.

Allows an AI client to administer Linux or macOS hosts through shell commands, file management, and system metrics reporting.

Lets AI assistants interact with data warehouses to query alerts, monitor freshness, investigate schema drift, and trace data lineage.

Provides AI observability, explainability, and governance tools including drift detection, bias auditing, and LLM call monitoring.