Weights & Biases MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Weights & Biases through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"weights-biases": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Weights & Biases Agent",
instructions:
"You help users interact with Weights & Biases " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Weights & Biases?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Weights & Biases MCP Server
Connect your Weights & Biases (WandB) account to any AI agent and manage your machine learning experiments through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Weights & Biases tool infrastructure. Connect 6 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
What you can do
- Project Management — List all projects within your WandB entity (user or team) to browse your experiment folders
- Run Monitoring — List and track individual experiment runs within a project to monitor real-time activity
- Deep Run Analysis — Retrieve full details for any run, including latest accuracies, losses, and hyperparameters
- Artifact Management — List versioned datasets, models, and other artifacts to track data lineage and dependencies
- Sweep Tracking — Monitor automated hyperparameter search sweeps to see optimization progress
- Reports & Collaboration — List saved analysis reports and dashboards to access collaborative documentation
The Weights & Biases MCP Server exposes 6 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Weights & Biases to Mastra AI via MCP
Follow these steps to integrate the Weights & Biases MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 6 tools from Weights & Biases via MCP
Why Use Mastra AI with the Weights & Biases MCP Server
Mastra AI provides unique advantages when paired with Weights & Biases through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Weights & Biases without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Weights & Biases tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Weights & Biases + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Weights & Biases MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Weights & Biases, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Weights & Biases as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Weights & Biases on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Weights & Biases tools alongside other MCP servers
Weights & Biases MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Weights & Biases to Mastra AI via MCP:
get_run_details
Retrieves full details for a specific W&B run, including summary metrics and config
list_project_artifacts
Lists all artifacts (datasets, models, etc.) in a project
list_project_reports
Lists all saved analysis reports in a project
list_project_runs
Lists all experiment runs within a specific W&B project
list_project_sweeps
Lists hyperparameter search sweeps within a project
list_wandb_projects
Lists all projects within a Weights & Biases entity (user or team)
Example Prompts for Weights & Biases in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Weights & Biases immediately.
"List all runs in my 'transformer-nmt' project for entity 'ai-team'."
"Get the final accuracy and config for run ID 'vibrant-sweep-1'."
"What artifacts are available in the 'resnet-training' project?"
Troubleshooting Weights & Biases MCP Server with Mastra AI
Common issues when connecting Weights & Biases to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpWeights & Biases + Mastra AI FAQ
Common questions about integrating Weights & Biases MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Weights & Biases with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Weights & Biases to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.