> ## Documentation Index
> Fetch the complete documentation index at: https://docs.chronosphere.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Chronosphere MCP server

Connect large language models (LLMs) to Chronosphere Observability Platform using
the Model Context Protocol (MCP) server. After connecting, your LLM can:

* Query [telemetry data](/overview/types) including change events, metrics, logs, and
  traces.
* Read [Chronosphere resources](/integrate/mcp-server/resources), such as dashboards
  and monitors.
* Search and retrieve Chronosphere documentation through the
  [documentation MCP server](https://docs.chronosphere.io/mcp).

<Note>
  The Chronosphere MCP server is read-only. It doesn't support mutation actions such
  as updating dashboards, writing metrics and logs, or deleting monitors.
</Note>

Use AI-enabled developer tools such as [Claude Code](https://www.claude.com/product/claude-code),
[Cursor](https://cursor.com/home?from=agents),
[Codex](https://developers.openai.com/codex/mcp/),
and [Gemini](https://github.com/google-gemini/gemini-cli/tree/main) to submit queries.
Example use cases:

* Find error logs with stack traces and review code for root cause analysis.
* Fetch a monitor's configuration and explain what's triggering it.
* Write PromQL queries targeting a specific service's metrics.
* List active shaping rules, such as drop rules, to determine why data is or isn't
  being dropped.

## Get started

To get started with the Chronosphere MCP server,
[configure authentication](/integrate/mcp-server/authenticate).