> For the complete documentation index, see [llms.txt](https://docs.ilert.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ilert.com/ai-and-agents.md).

# AI & Agents

- [Overview](https://docs.ilert.com/ai-and-agents/introduction.md): ilert AI brings intelligence and automation to your incident response process, from identifying related alerts and generating post-mortems to AI SRE agents that perform RCA autonomously
- [AI Features](https://docs.ilert.com/ai-and-agents/ai-features.md): The AI features built into everyday ilert workflows, and how to turn the ones using external models off.
- [AI global search](https://docs.ilert.com/ai-and-agents/ai-features/global-search-enhanced-by-ilert-ai.md): Access all resources in your ilert account easily. Search alerts, incidents, users, and alert sources.
- [Bulk resolving similar alerts](https://docs.ilert.com/ai-and-agents/ai-features/global-search-enhanced-by-ilert-ai/bulk-resolving-similar-alerts.md): Bulk‑resolve similar alerts using ilert AI via global search to streamline cleanup and reduce alert handling time.
- [Agents](https://docs.ilert.com/ai-and-agents/agents.md): What an agent is in ilert, and what the AI SRE and voice agents each do.
- [AI SRE](https://docs.ilert.com/ai-and-agents/agents/sre-agent.md): Set up an AI SRE agent, connect the tools it reads from, and run your first root cause analysis.
- [Alert triage](https://docs.ilert.com/ai-and-agents/agents/sre-agent/alert-triage.md): Ask your agent to cluster similar open alerts, so duplicates collapse into one parent alert instead of filling the list.
- [MCP servers](https://docs.ilert.com/ai-and-agents/mcp.md): Agents get their tools from MCP servers — what they are, the two kinds, and how you attach one to an agent.
- [ilert MCP server](https://docs.ilert.com/ai-and-agents/mcp/ilert-mcp-server-hosted.md): The official MCP endpoint for ilert, so an AI assistant can query and act on your alerts, incidents, services and schedules.
- [ilert MCP connector](https://docs.ilert.com/ai-and-agents/mcp/ilert-mcp-connector.md): Deploy the read-only connector that lets ilert-hosted MCP servers reach Kafka, MySQL, PostgreSQL, ClickHouse and Redis inside your own network.
- [Hosted by ilert](https://docs.ilert.com/ai-and-agents/mcp/hosted.md): The MCP servers ilert runs for you, and how ilert reaches systems that have no public endpoint.
- [Clickhouse](https://docs.ilert.com/ai-and-agents/mcp/hosted/clickhouse.md): Give an agent read-only access to ClickHouse schemas and server metrics through the ilert MCP connector.
- [GitHub](https://docs.ilert.com/ai-and-agents/mcp/hosted/github.md): Give an agent access to GitHub with a personal access token.
- [Grafana](https://docs.ilert.com/ai-and-agents/mcp/hosted/grafana.md): Give an agent access to Grafana, Loki and Tempo with a service account token.
- [Graylog](https://docs.ilert.com/ai-and-agents/mcp/hosted/graylog.md): Give an agent access to Graylog with an API token.
- [Elasticsearch](https://docs.ilert.com/ai-and-agents/mcp/hosted/elasticsearch.md): Give an agent access to Elasticsearch with an API key scoped to the permissions it needs.
- [InfluxDB](https://docs.ilert.com/ai-and-agents/mcp/hosted/influxdb.md): Give an agent access to InfluxDB with an API token.
- [Kafka](https://docs.ilert.com/ai-and-agents/mcp/hosted/kafka.md): Give an agent access to Kafka through the ilert MCP connector you deploy in your own network.
- [Kubernetes](https://docs.ilert.com/ai-and-agents/mcp/hosted/kubernetes.md): Give an agent access to a Kubernetes cluster by deploying ilert-kube-agent with Helm or Terraform.
- [MySQL](https://docs.ilert.com/ai-and-agents/mcp/hosted/mysql.md): Give an agent read-only access to MySQL schemas and server metrics through the ilert MCP connector.
- [Netdata](https://docs.ilert.com/ai-and-agents/mcp/hosted/netdata.md): Give an agent read-only access to Netdata Cloud with an API token.
- [Prometheus](https://docs.ilert.com/ai-and-agents/mcp/hosted/prometheus.md): Give an agent access to Prometheus, using whichever authentication method your server has.
- [Redis](https://docs.ilert.com/ai-and-agents/mcp/hosted/redis.md): Give an agent access to Redis through the ilert MCP connector, and the two gates on reading key values.
- [ServiceNow](https://docs.ilert.com/ai-and-agents/mcp/hosted/servicenow.md): Give an agent access to ServiceNow with OAuth, and which of its tools write data as soon as they are called.
- [External](https://docs.ilert.com/ai-and-agents/mcp/external.md): Connect an AI SRE agent to an MCP server you host yourself, over Streamable HTTP.
- [AWS](https://docs.ilert.com/ai-and-agents/mcp/external/aws.md): Connect an agent to the AWS-hosted MCP server, which exposes AWS documentation and APIs.
- [Datadog](https://docs.ilert.com/ai-and-agents/mcp/external/datadog.md): Connect an agent to Datadog's MCP server for metrics, logs, traces and monitors, using a bearer token.
- [Dynatrace](https://docs.ilert.com/ai-and-agents/mcp/external/dynatrace.md): Connect an agent to a Dynatrace environment's MCP server for problems, logs, metrics and entity data.
- [New Relic](https://docs.ilert.com/ai-and-agents/mcp/external/new-relic.md): Connect an agent to New Relic's MCP server for entities, NRQL queries, alerts and logs, using a User API key.
- [Dash0](https://docs.ilert.com/ai-and-agents/mcp/external/dash0.md): Connect an agent to Dash0's MCP server for traces, metrics, logs and checks, using a bearer token.


---

# Agent Instructions
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## Querying This Documentation
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Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
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`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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