UnifiedModel — security grade SAFE, quality 65/100

Security audit verdict: SAFE · quality 65/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by alibaba · MCP Server · ★ 296

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About UnifiedModel

UModel 中文版本:READMECN.md UModel (Unified Model) is a vendor-neutral semantic runtime for enterprise AI, data governance, and operational intelligence. It turns fragmented schemas, entities, business objects, telemetry links, and topology relations into workspace-scoped graph context that humans, systems, and AI agents can understand and use through one local service. With UModel, you can: Author and import model packs that define enterprise objects, operational objects, datasets, links, storage, and topology semantics. Write CMS 2.0 compatible runtime entities and relations. Query models, entities, and topology through one SPL surface: , , and . Explore the workspace through a local Web UI. Connect agent clients through AgentGateway and MCP. Use public REST, CLI, and SDK contracts without depending on server internals. Why UModel Accelerate enterprise AI at scale. A unified semantic standard helps AI models understand data meaning across platforms, departments, tools, and domains, improving the path to intelligent operations, customer service, analytics, prediction, and agent w

ai-agentaiopscmdbdata-modelingknowledge-graphmcpobject-graphobservabilityopentelemetrysemantic-layer

Quick Facts

Stars296
Forks49
LanguagePython
CategoryMCP Server
Quality Score65.1232535940302/100
Open Issues17
Last Updated2026-08-10
Created2026-05-06
Platformsmcp, python
Est. Tokens~15k

Compatible Skills

These tools work well together with UnifiedModel for enhanced workflows:

  • databao-context-engine — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • llm-movieagent — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)

UnifiedModel alternative? Top 6 similar tools

Looking for a UnifiedModel alternative? If you're comparing UnifiedModel with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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    AURA is a production-tested SRE agent platform you can deploy in minutes. AURA handles the guardrails, APIs,

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    ktx is an executable context layer for data and analytics agents 🐙 Allow Claude Code, Codex, and any AI agent

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Frequently Asked Questions

What is UnifiedModel?

UnifiedModel is The semantic layer that makes enterprise data understandable to AI agents — model entities and relations once, query through SPL/MCP/REST, and connect telemetry, services, and business objects in one . It is categorized as a MCP Server with 296 GitHub stars.

What programming language is UnifiedModel written in?

UnifiedModel is primarily written in Python. It covers topics such as ai-agent, aiops, cmdb.

How do I install or use UnifiedModel?

You can find installation instructions and usage details in the UnifiedModel GitHub repository at github.com/alibaba/UnifiedModel. The project has 296 stars and 49 forks, indicating an active community.

What are the best alternatives to UnifiedModel?

The top alternatives to UnifiedModel on Agent Skills Hub include ongrid, aura, antigravity-workspace-template. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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