# LLM observability with ClickStack, OpenTelemetry, and MCP

DevFeed: [LLM observability with ClickStack, OpenTelemetry, and MCP](<https://devfeed.tech/articles/llm-observability-with-clickstack-opentelemetry-and-mcp-5393.md>)

Original publisher: [Read original article](<https://clickhouse.com/blog/llm-observability-clickstack-mcp>)

Author: Dale McDiarmid; Lionel Palacin

Published: 2025-07-15T00:00:00Z

Content type: tutorial

Language: en

Sources: [ClickHouse Blog](<https://devfeed.tech/sources/clickhouse-blog.md>)

Topics: [ai observability](<https://devfeed.tech/topics/ai-observability.md>), [Language models](<https://devfeed.tech/topics/language-models.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [analytics](<https://devfeed.tech/tags/analytics.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [llm](<https://devfeed.tech/tags/llm.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [mcp-server](<https://devfeed.tech/tags/mcp-server.md>), [metrics](<https://devfeed.tech/tags/metrics.md>), [observability](<https://devfeed.tech/tags/observability.md>), [opentelemetry](<https://devfeed.tech/tags/opentelemetry.md>), [traces](<https://devfeed.tech/tags/traces.md>)

## AI overview

A tutorial on instrumenting LibreChat and the ClickHouse MCP server with ClickStack and OpenTelemetry to collect LLM traces, metrics, and token-usage data.

## Source excerpt

Instrument LibreChat and Clickhouse MCP server with ClickStack and OpenTelemetry to capture LLM traces, metrics, and token usage.