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Kiln — Easily Build AI Systems

Repo: https://github.com/Kiln-AI/Kiln
Website / Docs: https://kiln.tech

Description:
Kiln is a free tool for building production-ready AI systems. It supports RAG pipelines, evaluations, agents, MCP tool-calling, synthetic data generation, and fine-tuning.

  • Seamlessly connect agents and tools through MCP servers/interfaces
  • Build, fine-tune, and run models locally or remotely
  • Generate synthetic data, orchestrate evaluations, and manage datasets
  • Collaborate across technical and non-technical stakeholders via Git-based workflows
  • Use a free, open source Python library to embed Kiln into your own systems
  • Maintain data privacy: Kiln runs locally; external APIs are called only via your own keys

Why include it in awesome-mcp-servers?
Kiln’s MCP support enables developers to connect and orchestrate tools like RAG pipelines, agents, external services, and models all under one app. It’s production-ready, extensible, and built for developers creating robust agent ecosystems.

Quick links:

  • 📚 Docs & MCP guide: https://docs.kiln.tech (look for “Tools & MCP” section)
  • 🔧 Python library (MIT licensed)
  • 💻 Desktop / UI apps for Windows, macOS, Linux
  • 🔐 Privacy-first: your data stays local

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