dynatrace-oss/dynatrace-mcp
by Various
MCP server for Dynatrace Observability
MCP
dynatrace-oss/dynatrace-mcp
Added 1 June 2026
Overview
An MCP server that connects AI agents to Dynatrace observability data. It exposes Dynatrace metrics, traces, and logs through the Model Context Protocol for use by AI assistants.
Best for
Best for
Teams already using Dynatrace who want to query observability data through AI assistants
Use cases
- Query Dynatrace metrics and logs from an AI chat interface
- Automate incident response by feeding observability data into AI workflows
- Enable AI agents to investigate performance issues using Dynatrace traces
How to use
Install
npx -y @dynatrace-oss/dynatrace-mcp-server@latest --help Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, Continue, VS Code, ChatGPT
Example client config
{\n "mcpServers": {\n "dynatrace-mcp-server": {\n "command": "npx",\n "args": ["-y", "@dynatrace-oss/dynatrace-mcp-server@latest"],\n "env": {\n "DT_ENVIRONMENT": "https://abc12345.apps.dynatrace.com"\n }\n }\n }\n} Notes
An MCP server that connects AI agents to Dynatrace observability data. It exposes Dynatrace metrics, traces, and logs through the Model Context Protocol for use by AI assistants.
115 stars on GitHub. Last updated 2026-06-01. Licensed MIT.
Use cases
- Query Dynatrace metrics and logs from an AI chat interface
- Automate incident response by feeding observability data into AI workflows
- Enable AI agents to investigate performance issues using Dynatrace traces
Pros
- Direct integration with Dynatrace’s observability platform
- Open source with TypeScript for easy customization
- Leverages the standard MCP protocol for broad AI tool compatibility
Cons
- Requires a Dynatrace tenant and API token to function
- Limited to data Dynatrace already collects
- Relatively new project with a small community (115 stars)
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Direct integration with Dynatrace's observability platform
- Open source with TypeScript for easy customization
- Leverages the standard MCP protocol for broad AI tool compatibility
Cons
- Requires a Dynatrace tenant and API token to function
- Limited to data Dynatrace already collects
- Relatively new project with a small community (115 stars)
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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