# wandb-mcp-server

> Use this tool when you need to analyze and query your Weights & Biases data using natural language, solving problems related to data exploration and model understanding. It provides a natural language interface to input queries and outputs relevant data insights, enabling efficient data analysis. Ideal for use cases where complex data queries need to be simplified, such as model performance evaluation and hyperparameter tuning.

Canonical page: https://skillsregistry.net/skills/caentzminger-wandb-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/caentzminger-wandb-mcp-server

## Description

Query and analyze your Weights & Biases data using natural language through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.09
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t076ekgslh)
- **Repository:** <https://github.com/caentzminger/wandb-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "caentzminger-wandb-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/caentzminger-wandb-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/caentzminger-wandb-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt