DataDesigner MCP Server
NVIDIA-NeMo/DataDesigner
🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
NVIDIA-NeMo/DataDesigner is a Python tool licensed under Apache-2.0. 🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data. Topics: agentic-ai, data-augmentation, data-generation, llm, mcp, multimodal, nemo, nvidia, synthetic-data, tool-use, sdg.
Ranked #227 out of 24840 indexed tools.
In the top 1% of all indexed tools.
Has 2,279 GitHub stars.
Has 28 contributors.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
2,279 stars → well-known project
Last commit 1d ago → actively maintained
217/273 issues closed → decent issue management
28 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# 🎨 NeMo Data Designer **Generate high-quality synthetic datasets from scratch or using your own seed data.** --- ## Welcome! Data Designer helps you create synthetic datasets that go beyond simple LLM prompting. Whether you need diverse statistical distributions, meaningful correlations between fields, or validated high-quality outputs, Data Designer provides a flexible framework for building production-grade synthetic data. ## What can you do with Data Designer? - **Generate diverse text, structured data, and images** using samplers, LLMs, image models, or existing seed datasets - **Build multimodal workflows** with image, audio, and video context - **Connect generation to external tools** through local or remote MCP servers and capture interaction traces - **Control relationships** between fields with dependency-aware generation - **Validate and score outputs** with Python, SQL, custom validators, and LLM judges - **Extend Data Designer** with plugins for custom columns,Read full README on GitHub →
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