mcp-wandb

🔬 Query your Weights & Biases experiments directly from LLM agents via Model Context Protocol 📊

mcp-wandb is a small Model Context Protocol server for querying Weights & Biases from MCP-compatible clients. It exposes W&B projects, runs, metrics, run details, and metric plots as FastMCP tools over stdio.

Use it when you want an agent to inspect experiment data without switching to the W&B dashboard or hand-copying run metadata.

Install

git clone https://github.com/tsilva/mcp-wandb.git
cd mcp-wandb
uv sync
export WANDB_API_KEY=your_api_key
python server.py

Configure your MCP client to run the repo's server.py file, then restart the client.

{
  "mcpServers": {
    "wandb": {
      "command": "python",
      "args": ["/path/to/mcp-wandb/server.py"],
      "env": {
        "WANDB_API_KEY": "your_api_key"
      }
    }
  }
}

Related MCP server: ActivityWatch MCP Server

Commands

uv sync           # install dependencies into the local uv environment
python server.py  # run the MCP server over stdio
pytest tests/     # run tests; W&B credentials are required for live API checks

Tools

• get_wandb_projects(entity) lists projects for a W&B entity.

• list_wandb_runs(entity, project_name) lists run names, IDs, and states.

• list_project_metrics(entity, project_name) returns metric names found across runs.

• plot_run_metric(entity, project_name, run_id, metric_names) returns a PNG metric plot as a FastMCP image.

• get_run_details(entity, project_name, run_id) returns overview, config, summary, and system metadata.

Notes

• Python 3.13 or newer is required.

• WANDB_API_KEY must be set in the environment, or in a .env file loaded by python-dotenv.

• The server uses wandb.Api directly and does not keep a local database.

• Tests call the real W&B API and skip when required credentials or test project variables are missing.

• Live test variables are TEST_WANDB_ENTITY, TEST_WANDB_PROJECT, TEST_WANDB_RUN_ID, and TEST_WANDB_METRICS.

Architecture

License

MIT