How to connect Weights & Biases to Claude Cowork

Cowork is Anthropic's AI agent for knowledge work. Think of it as Claude Code for everything else. It works autonomously with your computer, local files, and applications to accomplish complex tasks. This guide walks you through the easiest and most secure way to connect your Weights & Biases account to Cowork via Composio Connect, enabling it to summarize failed runs in your project, compare sweep results for best model, list artifacts for latest training run, and more such actions on your behalf without compromising your account security.

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Weights & Biases is an MLOps platform for tracking experiments, models, sweeps, artifacts, and reports. It helps ML teams monitor runs, compare results, and manage model development in one place.

10 Tools

Introduction

Cowork is Anthropic's AI agent for knowledge work. Think of it as Claude Code for everything else. It works autonomously with your computer, local files, and applications to accomplish complex tasks.

This guide walks you through the easiest and most secure way to connect your Weights & Biases account to Cowork via Composio Connect, enabling it to summarize failed runs in your project, compare sweep results for best model, list artifacts for latest training run, and more such actions on your behalf without compromising your account security.

Also integrate Weights & Biases with

OpenAI Agents SDKClaude Agent SDKClaude CodeCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

Connecting Weights & Biases to Claude Cowork

1. Open Customize

In Claude Desktop, click Customize in the left sidebar, then select Connectors and click the + icon at the top.

Claude Desktop connectors screen with Add custom connector selected

2. Add the Composio MCP server

Click Add custom connector and paste in the Composio MCP server URL:

bash
https://connect.composio.dev/mcp
Add custom connector dialog with Composio MCP server URL

3. Authorize in your browser

Click Connect. You'll be redirected to a browser window where you can authorize Composio to continue.

Composio authorization screen for Claude Cowork

4. Connect your Weights & Biases account

Back in Cowork, ask the agent to connect to Weights & Biases or give it any Weights & Biases-related task.

For example, ask Cowork to:

  • "Summarize failed runs in your project"
  • "Compare sweep results for best model"
  • "List artifacts for latest training run"

It will prompt you to authenticate and authorize access.

That's it. Composio's tools are now available in Cowork, and your Weights & Biases account is ready to use.

What is Claude Cowork?

Claude Cowork is Anthropic's agent for general knowledge work. It can use your computer, files, and connected applications to complete longer-running tasks across your work tools.

With Composio Connect, Cowork can securely access apps like Weights & Biases through MCP without you sharing account credentials directly with the agent.

What is the Weights & Biases MCP server, and what's possible with it?

The Weights & Biases MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Weights & Biases account. It provides structured and secure access to your W&B projects, runs, sweeps, artifacts, reports, automations, integrations, teams, and organizations, so your agent can explore projects, review experiment runs, inspect sweeps and reports, check workflows, and understand account access on your behalf.

  • Project and experiment review: Have your agent list visible projects and review runs by name, state, and creation time.
  • Sweep and artifact discovery: Direct your agent to find hyperparameter sweeps and inspect the artifact types defined in a project.
  • Report exploration: Let the agent list available W&B reports for a project so you can quickly find relevant experiment analysis.
  • Automation and integration checks: Instruct your agent to review accessible automations, Slack connections, channels, and webhook integration names for an entity.
  • Account and team context: Have your agent identify the authenticated user, default entity, teams, organization details, and team membership information.
TOOLS

Supported Tools

Every Weights & Biases action and event your agent gets out of the box.

Get Current Viewer

Return the authenticated W&B user, default entity, and team names for connection context.

Get Organization

Return a W&B organization's identifiers and organization entity by exact name.

Get Team

Return a W&B team's identity and bounded membership metadata by exact team entity name.

List Artifact Types

Return one page of artifact types defined in a W&B project.

List Automations

Return one page of W&B automations accessible under an entity.

List Integrations

List one page of Slack workspace/channel metadata and webhook integration names for a W&B entity.

List Projects

Return one page of W&B projects visible under an entity.

List Reports

Return one page of beta W&B reports for a project.

List Runs

List one page of runs with IDs, display names, states, and creation times.

List Sweeps

Return one page of hyperparameter sweeps from a W&B project when sweeps are enabled for the account.

FRAMEWORKS

How to build Weights & Biases MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Weights & Biases MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Weights & Biases MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Weights & Biases MCP with Claude Code

Codex logo

Codex

Use Weights & Biases MCP with Codex

OpenClaw logo

OpenClaw

Use Weights & Biases MCP with OpenClaw

Hermes logo

Hermes

Use Weights & Biases MCP with Hermes

CLI logo

CLI

Use Weights & Biases MCP with CLI

Google ADK logo

Google ADK

Use Weights & Biases MCP with Google ADK

LangChain logo

LangChain

Use Weights & Biases MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Weights & Biases MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Weights & Biases MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Weights & Biases MCP with LlamaIndex

CrewAI logo

CrewAI

Use Weights & Biases MCP with CrewAI

FAQ

Frequently asked questions

With a standalone Weights & Biases MCP server, the agents and LLMs can only access a fixed set of Weights & Biases tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Weights & Biases and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Claude Cowork fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Weights & Biases tools.

Yes, absolutely. You can configure which Weights & Biases scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Weights & Biases data and credentials are handled as safely as possible.

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