Model Context Protocol
Model Context Protocol (MCP) stands as an open standard crafted by Anthropic, the mastermind behind Claude, fostering a seamless connection between your AI models and observability systems like splunk, dynatrace ensuring a secure and consistent integration.
When delving into observability tools like Splunk, Dynatrace, and NewRelic, one encounters diverse APIs, query languages, and dashboards. MCP serves a pivotal role by:
- Enabling unified querying across multiple tools.
- Dynamically fetching logs, metrics, and traces in real-time during incidents.
- Empowering the MCP server to regulate the AI’s querying capabilities.
In a practical scenario with Splunk’s MCP Server:
- Request: Retrieve the top 10 error logs from the last 15 minutes related to the “payment” service.
- Translation: Splunk MCP server effortlessly translates the request into SPL (Splunk Processing Language).
- Response: Splunk API promptly furnishes the results to the MCP server for AI interpretation and summarization.
In a similar vein, with Dynatrace’s MCP Server:
- Inquiry: Verify if there was a spike in response times for the checkout service within the past hour.
- Interaction: Dynatrace MCP Server promptly engages the Dynatrace Metric API for insights.
- Insight: Dynatrace furnishes time series data to the MCP server, enabling the AI to interpret and summarize the outcomes effectively.
Monitoring As A Code (MaaC)
Dynatrace Monaco - Dynatrace
Splunk - Splunk