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Weights & Biases MCP Server

@wandb

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

wandb

关于 Weights & Biases MCP Server

The official implementation of the W&B Models and Weave MCP server.

Weights & Biases MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "wandb-mcp-server": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "git+https://github.com/wandb/wandb-mcp-server"
      ]
    }
  }
}

Weights & Biases MCP Server 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 Weights & Biases MCP Server?

Query and analyze your Weights & Biases data using natural language through the Model Context Protocol. The server provides 16 tools to interact with W&B experiments, Weave traces, reports, artifacts, model registries, documentation, and automations. It is designed for ML practitioners who want to explore and debug their W&B data from AI assistants and IDEs.

How to use Weights & Biases MCP Server?

Use the hosted server at https://mcp.withwandb.com with a W&B API key from wandb.ai/authorize. One-click or one-command setup is available for Cursor, Claude Code, OpenAI Codex, and Gemini CLI. Manual configuration is provided for Claude Desktop, VSCode, OpenAI Responses API, and Mistral Chat. For local development, run uvx with the git repository via STDIO.

Key features of Weights & Biases MCP Server

  • Query W&B runs, metrics, and experiments via natural language
  • Analyze LLM traces with configurable detail levels
  • Create reports with charts, markdown, and custom panels
  • Search and explore Weave trace schemas
  • Compare and inspect artifact versions
  • List model registries, collections, and automations
  • Proxy W&B documentation search through a single connection

Use cases of Weights & Biases MCP Server

  • Analyze top runs by evaluation metrics from a specific project
  • Debug trace latency trends across months of production data
  • Generate a W&B report comparing model decisions over time
  • Explore artifact version histories and diff between model versions
  • Query W&B documentation for how-to guidance without leaving the chat

常见问题

1

How do I get started?

Get your API key from [wandb.ai/authorize](https://wandb.ai/authorize) and use the hosted server at `https://mcp.withwandb.com` with one-click installation in Cursor or a one-command setup in Claude Code, OpenAI Codex, or Gemini CLI.

2

What authentication is required?

The server uses Bearer token authentication with your W

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