Navigate your OpenTelemetry resources, investigate incidents and query metrics, logs and traces on Dash0.
If you want an AI assistant working directly with Dash0, the dash0 mcp server is the bridge. Navigate your OpenTelemetry resources, investigate incidents and query metrics, logs and traces on Dash0.
The official Model Context Protocol (MCP) server for Dash0.
Setup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.
Before the server will start you need to supply one environment variable: DASH0_AUTH_TOKEN. Keep credentials in your client's env block or a secrets manager rather than committing them.
Monitoring servers replace the paste-the-stack-trace ritual with an assistant that reads the real event, with all its surrounding context intact. Dash0 sits in that group. Worth comparing against the other monitoring security servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
{
"mcpServers": {
"dash0": {
"type": "streamableHttp",
"url": "{{endpoint_mcp}}",
"headers": {
"Authorization": "Bearer {{token}}"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| DASH0_AUTH_TOKEN | Credential the server authenticates with. | Yes |
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.
Errors with full context — stack traces, issue triage and AI-powered root-cause analysis from Sentry's server.
Enables enhanced web research capabilities for large language models through intelligent search queuing and advanced content extraction.
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Guides tool usage by providing recommendations for MCP tools at each problem-solving stage.