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Query telemetry sources, inspect schemas, and run bounded aggregate analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "telemetry-mcp" yet — see the docs or source repo.
List the currently available telemetry data sources, and present each source's name, purpose, and queryable scope in a table.
A table of telemetry sources that helps the user quickly understand available data entry points.
Describe the schema of the user_events dataset in telemetry, including field names, types, and the meaning of each field.
A structured field reference for writing follow-up queries or defining metrics.
Query the API request error rate over the last 24 hours, aggregated by hour, and include total requests, error count, and error rate.
Hourly aggregated results for investigating system stability issues and spotting abnormal periods.
Query and analyze Prometheus metrics through AI-friendly standardized interfaces.
A lightweight MCP tool for math, API fetching, and usage monitoring.
Call tools like weather lookup via MCP with reusable resources and prompts.
Calculate expressions, check weather, and learn how an MCP server is built.
Let AI query and analyze OpenTelemetry traces to debug apps faster.
Demo tool for connecting LLMs to external tools and data sources via MCP.