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MCP servers tagged synthetic-data
10 live MCP servers tagged "synthetic-data", ranked by trust score. Tags come from package metadata and repository topics, so this list covers servers across every category that work with synthetic-data.
DataDesigner
🎨 NeMo Data Designer: A general library for generating high-quality synthetic data from scratch or based on seed data.
Deepfabric
Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline
Omnisim
Open-source robotics simulator for coding agents: HTTP/JSON + MCP control, Newton physics, wgpu rendering, ROS 2, and reproducible benchmarks.
Distillery
Turn documents into high-quality instruction datasets with grounding, quality filtering, deduplication, and provenance.
Hl7gen
AI-native HL7 v2 toolkit with generation, validation, HL7→FHIR conversion, MCP & Claude Code integration. Bringing healthcare interoperability into the AI-native developer ecosys…
QueryForge
Governed AI analytics from natural language to auditable SQL, powered by a mandatory semantic layer, policy enforcement, and a visual Studio. 从自然语言到可审计 SQL 的受治理 AI 数据分析平台,内置强制语义层、…
Faker MCP
Vinkius Edge high-performance Model Context Protocol (MCP) server for generating realistic mock data.
Delivery Intelligence MCP Workbench
Governed AI/MCP delivery-intelligence workbench with synthetic programme data, evidence tracing, evaluation, telemetry, and visual dashboard.
Meva Health AI
Open-source framework for evaluating whether AI agents retrieve and faithfully use medical evidence from synthetic FHIR records.
Apify Synthea API
Synthea API on Apify - Python (uv) + MCP example. Generate synthetic, FHIR-compliant patient health records (safe, no real PHI) as structured JSON.