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# Query Dynatrace Managed data directly in Claude, AWS Kiro, GitHub Copilot, and other MCP-compatible clients

**[SitePoint](https://daily.dev/sources/sitepoint)** · 5 min read · 0 upvotes · 0 comments

## Summary

A new Model Context Protocol server exposes Dynatrace Managed (the self-hosted deployment of the Dynatrace observability platform) data to MCP-compatible AI clients like Claude Desktop, GitHub Copilot, and AWS Kiro. It lets engineers query problems, events, logs, and entities across multiple Managed instances in natural language, supports audit workflows spanning multiple clusters, and helps bridge historical Managed data access during SaaS migrations. It runs outside the Dynatrace platform, is read-only, and authenticates via environment API tokens.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.sitepoint.com/query-dynatrace-managed-data-directly-in-claude-aws-kiro-github-copilot-and-other-mcp-compatible-clients>

## Questions this post answers

### How can I query Dynatrace Managed data from Claude Desktop or GitHub Copilot?

Dynatrace provides an MCP server for Dynatrace Managed that exposes its REST APIs to any MCP-compatible client, including Claude Desktop, GitHub Copilot, and AWS Kiro. It runs outside the Dynatrace cluster on a self-controlled host, authenticates using Managed environment API tokens, reads configuration from YAML or JSON files, and is read-only, so it never modifies Managed data.

_Teams wiring observability data into AI assistants can track MCP server releases like this on daily.dev._

### Can one MCP server query multiple Dynatrace Managed instances at once?

Yes, the Dynatrace Managed MCP server supports querying multiple Managed instances in a single call, unlike single-instance adapters. This helps organizations with subsidiaries on separate clusters, managed service providers running one instance per customer, or regulated environments needing data residency, avoiding the need to repeat the same prompt cluster by cluster and manually stitch results together.

_Anyone auditing across fragmented infrastructure can follow multi-instance tooling updates via daily.dev._

### Can I run the Dynatrace Managed MCP server alongside the Dynatrace SaaS MCP server?

Yes, teams running both Dynatrace Managed and SaaS can run both MCP servers side by side as two separate endpoints, each authenticating independently with distinct access boundaries. During a migration, this creates a clean split of responsibility where SaaS is authoritative for new data while Managed continues to serve historical data.

_Teams mid-migration between observability platforms can track integration patterns like this on daily.dev._

## Similar posts on daily.dev

- [Dynatrace MCP Server: Empower your AI assistants to interact with Dynatrace and access live production insights](https://daily.dev/posts/dynatrace-mcp-server-empower-your-ai-assistants-to-interact-with-dynatrace-and-access-live-producti-y2io1qtyy) · Dynatrace · 0 upvotes · 0 comments
- [Bring real-time production insights into Claude Code with the Dynatrace MCP Server](https://daily.dev/posts/bring-real-time-production-insights-into-claude-code-with-the-dynatrace-mcp-server-sasg5foap) · Dynatrace · 2 upvotes · 0 comments
- [AWS MCP Server Reaches GA with Full API Coverage and IAM-Based Governance](https://daily.dev/posts/aws-mcp-server-reaches-ga-with-full-api-coverage-and-iam-based-governance-gd3gwr6nd) · InfoQ · 1 upvotes · 0 comments
- [The AWS MCP Server is now generally available](https://daily.dev/posts/the-aws-mcp-server-is-now-generally-available-wonxezacy) · AWS · 1 upvotes · 0 comments

---

Tags: [#devops](https://daily.dev/tags/devops), [#github](https://daily.dev/tags/github), [#observability](https://daily.dev/tags/observability), [#mcp](https://daily.dev/tags/mcp), [#claude](https://daily.dev/tags/claude)

[View this post on daily.dev](https://daily.dev/posts/query-dynatrace-managed-data-directly-in-claude-aws-kiro-github-copilot-and-other-mcp-compatible--rudzddrjv)

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