Kiln
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
- 5.2k estrellas
- 395 forks
- 56 issues abiertos
- Lenguaje: Python
- Licencia: NOASSERTION
- actualizado
Instalación
local · uvx (python)claude mcp add kiln -- uvx kiln{
"mcpServers": {
"kiln": {
"command": "uvx",
"args": ["kiln"]
}
}
}{
"mcpServers": {
"kiln": {
"command": "uvx",
"args": ["kiln"]
}
}
}- Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
- Replace any <placeholder> values with your API keys or paths.
- Restart Claude. The MCP server and its tools appear automatically.
Package name inferred from the repository name. Verify it exists on PyPI, or clone https://github.com/Kiln-AI/Kiln and follow its README.
Nota editorial
Kiln is a desktop workbench and open-source Python library covering the full AI development cycle, including an Eval Builder that auto-generates judge models and synthetic evaluation datasets, an Auto-Optimize feature that tests prompt variants, model selection, and agent configurations to find the best-performing setup, drag-and-drop RAG creation from PDFs, images, video, and audio, zero-code fine-tuning across 60-plus models on Fireworks, Together, and Vertex with serverless deployment, and multi-agent composition via subagents each running in isolated context windows. It exposes an MCP server so Claude Code and other MCP-compatible clients can interact with Kiln tasks and tools directly. The desktop app runs on Mac, Windows, and Linux with one-click installation, stores project data in a Git-native format so non-technical teammates like product managers and domain experts can rate outputs and contribute datasets without writing code, and supports fully offline use via Ollama. The MIT-licensed Python library lets agents built in the app ship straight to production.
Resumen de MCP Servers
Lo que la gente pregunta sobre Kiln
¿Qué es Kiln-AI/Kiln?
Kiln-AI/Kiln es mcp servers para el ecosistema de Claude AI. Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more. Tiene 5.2k estrellas en GitHub y su última actualización registrada es del 2026-10-23.
¿Cómo se instala Kiln?
Puedes instalar Kiln clonando el repositorio (https://github.com/Kiln-AI/Kiln) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar Kiln-AI/Kiln?
Nuestro agente de seguridad ha analizado Kiln-AI/Kiln y le ha asignado un Trust Score de 87/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene Kiln-AI/Kiln?
Kiln-AI/Kiln es mantenido por Kiln-AI. La última actividad registrada en GitHub es del 2026-10-23, con 56 issues abiertos.
¿Hay alternativas a Kiln?
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.