MCP Telemetry Server

Example Use Cases

• 1

  Log and analyze conversational data between users and LLMs.

• 2

  Use Weights & Biases for visualizing conversation flows and telemetry.

• 3

  Monitor real-time conversation metrics for better insights.

Description

MCP Telemetry is a server designed to log interactions between users and large language models (LLMs). It uses the Model Context Protocol to capture detailed conversation data, including user inputs, LLM responses, and more. Integrated with Weights & Biases, it provides real-time monitoring and analytical tools to visualize and share conversation insights. This makes it ideal for applications needing detailed telemetry of conversational data.