What data does MCP Telemetry log?
MCP Telemetry automatically logs user messages, LLM responses, tool calls and their results, and conversation metadata.
@xprilion
基本情報
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.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"MCP Telemetry": {
"command": "uv",
"args": [
"run",
"--with",
"mcp[cli]",
"--with",
"weave",
"mcp",
"run",
"~/mcp-telemetry/server.py"
],
"env": {
"WANDB_API_KEY": ""
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
MCP Telemetry is a Model Context Protocol server that logs and tracks conversations between users and LLMs, integrating with Weights & Biases Weave for telemetry visualization and analysis.
Install by adding the provided JSON configuration to your Claude desktop config, setting the WANDB_API_KEY environment variable. The server starts automatically with Claude and logs conversation data, viewable in the Weights & Biases dashboard.
MCP Telemetry automatically logs user messages, LLM responses, tool calls and their results, and conversation metadata.
Log in to your Weights & Biases account, navigate to your project, and you'll see visualizations including conversation flows, tool usage patterns, response times, and error rates.
You need a Weights & Biases API key from wandb.ai, and the `uv` command must be available on your system.
Prompt Claude to trace a conversation, for example: "Log this conversation with MCP Telemetry, topic will be Cats."
The only required configuration is setting the `WANDB_API_KEY` environment variable in the Claude desktop config.
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