CLI tool to send prompts to an AI API and save JSON/Markdown outputs.
CLI tool to send prompts to an AI API and save JSON/Markdown outputs. That is what the ai mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
AI Prompt Runner is a Python CLI designed to execute prompts across multiple AI providers and generate deterministic structured outputs (JSON and Markdown).
The server ships on PyPI as ai-prompt-runner, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
Configuration is passed through the environment: AI_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by Damien Savoldelli; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Ai's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
{
"mcpServers": {
"ai-prompt-runner": {
"command": "uvx",
"args": ["ai-prompt-runner"],
"env": {
"AI_API_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| AI_API_KEY | Credential the server authenticates with. | Yes |
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