by opensumi · MCP Server · ★ 3.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 3,657 |
| Forks | 452 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 62/100 |
| Open Issues | 286 |
| Last Updated | 2026-10-15 |
| Created | 2021-11-17 |
| Platforms | browser, cli, mcp, node |
| Est. Tokens | ~15k |
OpenSumi A framework helps you quickly build AI Native IDE products. [![MCP][mcp-client-image]][mcp-client-url] [![MCP Feature][mcp-client-feature-image]][mcp-client-feature-url] [![CI][ci-image]][ci-url] [![E2E][e2e-image]][e2e-url] [![Test Coverage][test-image]][test-url] [![Issues need help][help-wanted-image]][help-wanted-url] [![Discussions][discussions-image]][discussions-url] [![CLA...
Looking for a core alternative? If you're comparing core 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.
🐬DeepChat - A smart assistant that connects powerful AI to your personal world
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cr
The official TypeScript SDK for Model Context Protocol servers and clients
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
Local-first chat history analyzer with AI. | 本地优先的 AI 聊天记录分析工具
[DEPRECATED] Legacy Klavis AI MCP integrations. See klavis.ai for RL environments and training data.
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: