asset-intel-orchestration-engine — security grade SAFE, quality 67/100

Security audit verdict: SAFE · quality 67/100

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 Kronova-Intelligent-Systems · MCP Server · ★ 249

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

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About asset-intel-orchestration-engine

Kronova Asset Intelligence and Orchestration Platform Welcome to the official open-source frontend and intelligent orchestration layer for the Kronova Intelligent Systems ecosystem. Most of the codebase is functional, production worthy, and scalable with relatively minor tweaks. However, the platform and API is a work in progress and we encourage developers to take the reigns from here. Built with a NextJS 16 TypeScript Tailwind Shadcn-UI frontend, Supabase backend with Qdrant migration plan, Stripe aitoken metered subscriptions, any AI model with 30+ models pre-configured, embedding, RAG, and dataset management, Qdrant and Weaviate dataset imports, integrations including Salesforce, CrmOne, NetSuite, Shopify, Wix, Plaid, Resend, UPS, FedEx, Canton Network, Sui, and more. This SaaS platform and API is designed to enable individuals and companies to explore, augment, and or complete AI and Web 3 native digital transformations with a focus on Real World Asset (RWA) tokenization, real time agentic asset intelligence reporting, optimizations, and learning layers, voice NLP platform operations, OAuth 2.1 MCP server and client management, perpetual AI ROI analytics, and more.

ai-agentsai-orchestration-engineasset-tokenizationcantondefimcpmcp-servermodel-context-protocolmulti-agent-systemsnextjs

Quick Facts

Stars249
Forks35
LanguageTypeScript
CategoryMCP Server
Quality Score67.2484482015218/100
Open Issues3
Last Updated2026-08-08
Created2024-01-28
Platformsmcp, node
Est. Tokens~15k

Compatible Skills

These tools work well together with asset-intel-orchestration-engine for enhanced workflows:

  • clawlink — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • ai-agent-automation — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • Multi-AI-Workflow — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • CodeMachine-CLI — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • boluobobo-ai-court-tutorial — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)

asset-intel-orchestration-engine alternative? Top 6 similar tools

Looking for a asset-intel-orchestration-engine alternative? If you're comparing asset-intel-orchestration-engine 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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Frequently Asked Questions

What is asset-intel-orchestration-engine?

asset-intel-orchestration-engine is Open-source platform for multi-agent AI orchestration, real-world asset tokenization, and institutional-grade workflow automation. Includes OAuth 2.1 MCP agent management, a 44-field RWA schema, Strip. It is categorized as a MCP Server with 249 GitHub stars.

What programming language is asset-intel-orchestration-engine written in?

asset-intel-orchestration-engine is primarily written in TypeScript. It covers topics such as ai-agents, ai-orchestration-engine, asset-tokenization.

How do I install or use asset-intel-orchestration-engine?

You can find installation instructions and usage details in the asset-intel-orchestration-engine GitHub repository at github.com/Kronova-Intelligent-Systems/asset-intel-orchestration-engine. The project has 249 stars and 35 forks, indicating an active community.

What are the best alternatives to asset-intel-orchestration-engine?

The top alternatives to asset-intel-orchestration-engine on Agent Skills Hub include vibe-check-mcp-server, flyto-core, mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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