MCP Telemetry

Created By

xpriliona year ago

Observability helps. This MCP server adds tracing to all your conversations on Claude (or suitable MCP client) so that you can trace, understand, debug and report on your all your interactions.

# mcp-telemetry

# observability

Overview Content Tools Comments

Overview

what is MCP Telemetry?

MCP Telemetry is a Model Context Protocol (MCP) server designed for logging and tracking conversations within chat systems, utilizing Weights & Biases Weave for telemetry analysis.

how to use MCP Telemetry?

To use MCP Telemetry, install it by adding the provided JSON configuration to your Claude desktop config. Once installed, it automatically starts tracking conversations when you launch Claude.

key features of MCP Telemetry?

Start tracing sessions with custom identifiers
Log comprehensive conversation data including user inputs, LLM responses, and tool calls
Seamless integration with Weights & Biases Weave for visualization
Real-time monitoring of conversation flows
Export and share conversation analytics

use cases of MCP Telemetry?

Analyzing user interactions with LLMs
Debugging conversation flows in chat applications
Monitoring tool usage and response times in real-time

FAQ from MCP Telemetry?

What is required to run MCP Telemetry?

You need a Weights & Biases API key to configure the server.

Can I customize the tracing sessions?

Yes! You can start tracing sessions with custom identifiers.

How can I view the telemetry data?

Log in to your Weights & Biases account to access various visualizations of your conversation data.

Project Info

Created At

a year ago

Updated At

a year ago

Author Name

xprilion

Star

0

Language

Python

License

-

Category

research-and-data

Tags

Homepage

https://github.com/xprilion/mcp-telemetry

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