"How to Trigger an n8n Workflow" matching MCP servers:

Provides Claude AI assistants with focused monitoring tools for n8n workflow execution analysis, including active workflow listing, execution history with KPIs, and detailed failure information.

An MCP server for querying Grafana Loki directly with a discovery-first workflow — labels, values, series, and LogQL queries without requiring Grafana.

An MCP server for debugging Temporal workflows, enabling LLM-assisted inspection of workflow executions, detailed workflow info, and event history.

Enables AI agents to monitor Docker containers, system resources, ports, and logs in real-time.

Enables AI agents to debug and repair historical Solaris/SPARC systems by providing an out-of-band control plane with guest DTrace, QEMU monitor access, SPARC-aware GDB, host eBPF/perf tracing, and an immutable evidence ledger for cross-layer hypothesis testing.

Ships only the MCP server, not the recorder. Recording works by wrapping a process on the host — a local proxy, a PATH shim, a shadow git index. None of that survives a container boundary, so orca record inside here would watch an empty namespace. What does travel is the read side: the six MCP tools serve runs that already exist on disk, so a client mounts its .orca directory and r

Acts as a proxy between your app and Reactotron, enabling AI assistants to read logs, inspect state, monitor network requests, and trigger custom commands.

An MCP server that exposes Nexthink Digital Employee Experience (DEX) telemetry and automation to LLM agents, enabling execution of saved NQL queries, bulk async data exports, remote actions, and workflow triggers against Nexthink Infinity via secure OAuth2/bearer/basic authentication.

Transforms Elasticsearch into an AI-powered observability engine for analyzing logs, APM traces, and system metrics through natural language.

Let AI agents observe and operate your Hatchet workflows: runs, logs, workers, metrics, plus trigger/cancel/replay.

Enables an AI assistant to query local AI stack status, incidents, logs, GPU metrics, and service history, and to trigger restarts through MCP tools.

An MCP server for Hatchet, the durable orchestration engine, enabling LLMs to inspect workflow definitions, runs, logs, and more, with optional mutating tools for triggering, canceling, and managing workflows.

Enables MCP clients such as Claude to check current uptime status, inspect monitors and incidents, trigger fresh checks, and retrieve status summaries from a self-hosted monitoring service.

Analyzes how search engines and AI systems discover, crawl, cite, and convert traffic via CLI and MCP tools.

Enables users to interact with Apache Airflow orchestration platform through natural language to query pipeline statuses, troubleshoot DAG failures, trigger DAGs, and analyze configurations.

An MCP server that enables conversational interaction with Wazuh SIEM, allowing users to investigate alerts, hunt threats, tune false positives, edit rules, and run security actions via natural language.

A middleware service that uses Model Context Protocol to analyze and automate Zabbix events with AI, enabling automated incident response and workflow automation through n8n integration.

Enables Claude Desktop to trigger Ansible-driven log scans across an inventory group and retrieve combined results from target hosts.

Compresses log files into templates and statistics using Drain3, and exposes them to AI assistants via an MCP server for efficient log monitoring and anomaly detection.

Logpoint MCP Server provides MCP endpoints for Logpoint SIEM, enabling search, incident management, alert rules, and integrations with n8n and Claude for SIEM operations.