Kiln MCP Server
Kiln-AI/Kiln
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
Kiln-AI/Kiln is a Python tool. Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more. Topics: ai, chain-of-thought, collaboration, dataset-generation, fine-tuning, machine-learning, macos, ml, ollama, openai, prompt, prompt-engineering, python, rlhf, synthetic-data, windows, evals, evaluation, evaluation-framework, mcp.
Ranked #3553 out of 24840 indexed tools.
Has 5,079 GitHub stars.
Has 15 contributors.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
5,079 stars → well-known project
Last commit today → actively maintained
111/186 issues closed → decent issue management
15 contributors → active community
No dependents → no downstream usage
9 weekly installs → early adoption
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
<p align="center">
<a href="https://kiln.tech">
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<source media="(prefers-color-scheme: dark)" srcset="https://github.com/user-attachments/assets/faae475e-7ace-443b-91f3-0e3701f0c90d">
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</a>
</p>
<h3 align="center">
A free app and open-source library to build better AI products.
</h3>
<p align="center">
<a href="https://kiln.tech#demo">
</a>
</p>
<p align="center">
<a href="https://kiln.tech/download"></a>
<a href="https://docs.kiln.tech"></a>
</p>
<p align="center">
<a href="#highlights"><strong>Highlights</strong></a> •
<a href="https://docs.kiln.tech/docs/evaluations"><strong>Evals</strong></a> •
<a href="https://docs.kiln.tech/docs/prompts/automatic-prompt-optimizer"><strong>Auto-Optimize</strong></a> •
<a href="https://docs.kiln.tech/docs/docu Read full README on GitHub → Get the weekly AgentRank digest
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