Analyze alerts from Alertmanager and send diagnostic reports to Slack

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1. Workflow Overview

Overview This workflow helps automatically analyze alerts occurring in the infrastructure and suggest solutions even before the on duty engineer sees the alert. How It Works The workflow receives a...

Best for

DevOps automation workflows
AI RAG automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.mcpclienttool, n8n-nodes-base.webhook, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.vectorstoreqdrant, @n8n/n8n-nodes-langchain.embeddingsgooglegemini, n8n-nodes-base.slack

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Sergei Byvshev.

Original n8n.io source

1.1 Workflow description

Title: Analyze alerts from Alertmanager and send diagnostic reports to Slack
Workflow name: Analyze alerts from Alertmanager and send diagnostic reports to Slack

Overview

This workflow helps automatically analyze alerts occurring in the infrastructure and suggest solutions even before the on-duty engineer sees the alert.

How It Works

The workflow receives an alert from Alertmanager via Webhook. The variables required for operation are set. A prompt is prepared for the agent containing only the data necessary for analysis. The agent performs diagnostics as described in the system prompt. During operation, it can access various systems via MCP to obtain additional information. A message in a Slack channel corresponding to the processed alert is found. A report is sent to the Slack thread.

How to Use

Generate webhook credentials and use them in Alertmanager. Add the alert fingerprint to the Slack message template. Set variables in the SetVars node. Add your own rules and recommendations to the system prompt. Run MCP servers. Choose the Slack channel with alerts.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 2 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 3 - K8S mcp

Type / Role: @n8n/n8n-nodes-langchain.mcpClientTool - mcpClientTool
Config choices: Version 1.2

Block 4 - Grafana mcp

Type / Role: @n8n/n8n-nodes-langchain.mcpClientTool - mcpClientTool
Config choices: Version 1.2

Block 5 - Digitalocean MCP

Type / Role: @n8n/n8n-nodes-langchain.mcpClientTool - mcpClientTool
Config choices: Version 1.2

Block 6 - Receive alerts

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2.1

Block 7 - PreProcessAlerts

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 8 - Qdrant Vector Store

Type / Role: @n8n/n8n-nodes-langchain.vectorStoreQdrant - vectorStoreQdrant
Config choices: Version 1.3

Block 9 - Embeddings Google Gemini

Type / Role: @n8n/n8n-nodes-langchain.embeddingsGoogleGemini - embeddingsGoogleGemini
Config choices: Version 1

Block 10 - Gitlab MCP

Type / Role: @n8n/n8n-nodes-langchain.mcpClientTool - mcpClientTool
Config choices: Version 1.2

Block 11 - GetAlertMessages

Type / Role: n8n-nodes-base.slack - slack
Config choices: Version 2.4

Block 12 - SendReport

Type / Role: n8n-nodes-base.slack - slack
Config choices: Version 2.4

Block 13 - FindAlert

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 14 - SetVars

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 15 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 16 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 17 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 18 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 19 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Analyze alerts from Alertmanager and send diagnostic reports to Slack
Complexity	advanced
Nodes	19
Categories	DevOps, AI RAG
Author	Sergei Byvshev
Published	26 Mar 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/14376/14376.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source DevOps workflows AI RAG workflows

Frequently asked questions

What does Analyze alerts from Alertmanager and send diagnostic reports to Slack do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your DevOps, AI RAG use case.

Sergei Byvshev

11 workflows

Nodes

@n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.mcpclienttool n8n-nodes-base.webhook n8n-nodes-base.code @n8n/n8n-nodes-langchain.vectorstoreqdrant @n8n/n8n-nodes-langchain.embeddingsgooglegemini n8n-nodes-base.slack

Complexity

advanced

Published 26 Mar 2026

Likes 0

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Install path: /data/workflows/14376/14376.json

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Analyze alerts from Alertmanager and send diagnostic reports to Slack

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Overview

How It Works

How to Use

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - AI Agent

Block 2 - OpenAI Chat Model

Block 3 - K8S mcp

Block 4 - Grafana mcp

Block 5 - Digitalocean MCP

Block 6 - Receive alerts

Block 7 - PreProcessAlerts

Block 8 - Qdrant Vector Store

Block 9 - Embeddings Google Gemini

Block 10 - Gitlab MCP

Block 11 - GetAlertMessages

Block 12 - SendReport

Block 13 - FindAlert

Block 14 - SetVars

Block 15 - Sticky Note

Block 16 - Sticky Note1

Block 17 - Sticky Note2

Block 18 - Sticky Note3

Block 19 - Sticky Note4

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions