datamimic MCP Server
rapiddweller/datamimic
[](https://agentrank-ai.com/tool/rapiddweller--datamimic/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Model-driven synthetic test data for CI/CD and analytics - deterministic, privacy-preserving, and domain-aware. Includes Python APIs, XML pipelines, and MCP/IDE integration to orchestrate realistic datasets for finance, healthcare, and other regulated environments.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
rapiddweller/datamimic is a Python tool licensed under MIT. Model-driven synthetic test data for CI/CD and analytics - deterministic, privacy-preserving, and domain-aware. Includes Python APIs, XML pipelines, and MCP/IDE integration to orchestrate realistic datasets for finance, healthcare, and other regulated environments. Topics: data-generation, data-privacy, data-simulation, synthetic-data, test-automation, testing, deterministic, mcp, pii, data-anonymization, data-masking, gdpr, pci-dss, seed, time-series.
Ranked #3299 out of 24846 indexed tools.
Ecosystem
Score Breakdown
116 stars → growing community
Last commit 29d ago → recently updated
29/58 issues closed → decent issue management
4 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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From the README
# DATAMIMIC — Governed Test Data for Regulated Enterprises > **This repository contains the DATAMIMIC Community Edition (CE).** MIT-licensed, Python-native, MCP-ready. > > CE is fully usable standalone for deterministic synthetic data generation and model-based pseudonymization. The Enterprise Platform adds governed workflows, PII scanning, role-based access, audit logging, scheduling, multi-system execution, and the operational layer for governed enterprise workflows. > > 👉 **Enterprise Platform:** [datamimic.io](https://datamimic.io) | 📘 **Docs:** [docs.datamimic.io](https://docs.datamimic.io) | 📅 **Book a strategy call:** [datamimic.io/contact](https://datamimic.io/contact) > > 🤖 **AI agent?** Start at [`AGENTS.md`](https://github.com/rapiddweller/datamimic/blob/development/AGENTS.md) and use the project CLI: preserve new intent as `model.dm.json`, submit an early best attempt via `datamimic scaffold ... --format json`, repair from the structured issues,Read full README on GitHub →
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