Weights & Biases MCP Server

Name: Weights & Biases MCP Server
Author: wandb

@wandb

代码仓库

关于 Weights & Biases MCP Server

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

基本信息

分类

其他

许可证

MIT

运行时

python

传输方式

stdio

发布者

wandb

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"
      ]
    }
  }
}

工具

未检测到工具

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

FAQ from Weights & Biases MCP Server

How do I get started?

Get your API key from 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.

What authentication is required?

The server uses Bearer token authentication with your W

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