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MCP Telemetry

@xprilion

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

xprilion

关于 MCP Telemetry

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#chat-systems

MCP Telemetry 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "MCP Telemetry": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "--with",
        "weave",
        "mcp",
        "run",
        "~/mcp-telemetry/server.py"
      ],
      "env": {
        "WANDB_API_KEY": ""
      }
    }
  }
}

MCP Telemetry 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Telemetry?

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.

How to use MCP Telemetry?

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.

Key features of MCP Telemetry

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

Use cases of MCP Telemetry

  • Trace and analyze conversation flows between users and LLMs
  • Monitor tool usage patterns and response times
  • Track error rates and conversation metadata
  • Share conversation analytics with your team

常见问题

1

What data does MCP Telemetry log?

MCP Telemetry automatically logs user messages, LLM responses, tool calls and their results, and conversation metadata.

2

How do I view my telemetry data?

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.

3

What are the prerequisites for running MCP Telemetry?

You need a Weights & Biases API key from wandb.ai, and the `uv` command must be available on your system.

4

How do I start a tracing session?

Prompt Claude to trace a conversation, for example: "Log this conversation with MCP Telemetry, topic will be Cats."

5

Does MCP Telemetry require any special configuration?

The only required configuration is setting the `WANDB_API_KEY` environment variable in the Claude desktop config.

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