Integrate Weights & Biases with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet run details on Weights & Biases
Retrieves full details for a specific W&B run, including summary metrics and config
List project artifacts on Weights & Biases
Lists all artifacts (datasets, models, etc.) in a project
List project reports on Weights & Biases
Lists all saved analysis reports in a project
List project runs on Weights & Biases
Lists all experiment runs within a specific W&B project
List project sweeps on Weights & Biases
Lists hyperparameter search sweeps within a project
List wandb projects on Weights & Biases
Lists all projects within a Weights & Biases entity (user or team)
Security & Code Integrity Audit
Every tool in the Weights & Biases MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Can I check the latest metrics for a specific ML run?
Yes. Using the get_run_details tool, your AI agent can pull the latest logged metrics (like accuracy or loss) and hyperparameters for any specific run ID within your projects.
Weights & Biases Capabilities for AI Assistants
Securely interface Claude Code, ChatGPT, and Cursor with the Weights & Biases API through semantic routing and standardized natural language triggers.
LLM Orchestration for machine learning
The Weights & Biases toolkit translates Claude's commands into machine learning operations. The MCP server ensures accurate delivery within the ai frontier ecosystem.
The Future of experiment tracking
The Weights & Biases MCP translates LLM intent into specific experiment tracking actions. Agents like Cursor use this to interface securely with your ai frontier infrastructure.
Weights & Biases. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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