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Examples of how to use Docker Model Runner, Docker MCP Toolkit, and Promptfoo together to evaluate models, agents, and MCP servers
From the repo.
This repo contains a few examples of how to use Docker Model Runner, Docker MCP Toolkit, and Promptfoo together to compare models, evaluate MCP servers, and even perform LLM red-teaming from the comfort of your own dev machine.
docker model pull ai/gemma3:4B-Q4_K_M
docker model pull ai/smollm3:Q4_K_M
docker model pull ai/mxbai-embed-large:335M-F16
npm install -g promptfoo
export ANTHROPIC_API_KEY=<your_api_key_here>
promptfoo eval -c promptfooconfig.comparison.yaml
promptoo view
promptfoo eval -c promptfooconfig.mcp-direct.yaml
export ANTHROPIC_API_KEY=<your_api_key_here>
promptfoo redteam run -c promptfooconfig.mcp-repo-summarizer.yaml
Replace {MCP_ENDPOINT_URL} with this MCP’s endpoint URL (from its repo or docs above). No API key — you connect directly.
Tool
OS
Config file: ~/.cursor/mcp.json
{
"mcpServers": {
"mcp-server": {
"url": "{MCP_ENDPOINT_URL}"
}
}
}Paste into mcpServers in the config file. Restart Cursor after saving.
If this MCP is also published on mcpchannel.ai, you can subscribe from Browse and use the gateway config there instead.