Weights & Biases MCP Server

What is Weave MCP Server?

Weave MCP Server is a Model Context Protocol (MCP) server designed for querying Weave traces, allowing users to interact with these traces through various MCP clients.

How to use Weave MCP Server?

To use the Weave MCP Server, first install it by setting up a virtual environment and installing the necessary packages. Then, configure your Weights & Biases API key in a .env file and run the server using the provided command.

Key features of Weave MCP Server?

• Query Weave traces with filtering and sorting options.
• Supports multiple MCP clients like Cursor, Cline, and Claude for Desktop.
• Provides detailed troubleshooting and API endpoints for health checks.

Use cases of Weave MCP Server?

1. Querying and analyzing Weave traces for machine learning experiments.
2. Integrating with various MCP clients for enhanced data visualization.
3. Facilitating collaboration among data science teams using Weights & Biases.

FAQ from Weave MCP Server?

• What is the purpose of the Weave MCP Server?

It allows users to query and interact with Weave traces efficiently.

• How do I configure the server?

You need to create a configuration file in your MCP client settings with the server details.

• What should I do if the server isn't showing up in my MCP client?

Check the client's logs for errors, verify your configuration file syntax, and ensure the project path is absolute.