Weights & Biases MCP Server

Name: Weights & Biases MCP Server
Author: wandb

@wandb

リポジトリ

Weights & Biases MCP Server について

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

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

wandb

設定

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

ツール

ツールは検出されませんでした

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。

概要

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.