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by vakovalskii · MCP Server · ★ 99

Last updated: 2026-05-07 · Indexed by AgentSkillsHub · Auto-synced every 8h

aiai-agentscatalogclaude-codecursormcpnextjsrussianskillstypescript

Quick Facts

Stars	99
Forks	12
Language	TypeScript
Category	MCP Server
Quality Score	51/100
Open Issues	2
Last Updated	2026-05-07
Created	2026-03-22
Platforms	claude-code, cli, mcp, node
Est. Tokens	~29k

About neuraldeep

NeuralDeep — агрегатор навыков, MCP серверов и CLI инструментов для AI-агентов. Российский каталог: Яндекс, 1С, Битрикс, GigaChat, Wildberries.

Compatible Skills

These tools work well together with neuraldeep for enhanced workflows:

openagentskill — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
skillnote — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
rover — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
craftdesk — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)

neuraldeep alternative? Top 6 similar tools

Looking for a neuraldeep alternative? If you're comparing neuraldeep 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.

agnix by agent-sh · ⭐ 455
The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plug
agents by astronomer · ⭐ 451
AI agent tooling for data engineering workflows.
weam by weam-ai · ⭐ 222
Web app for teams of 20+ members. In-built connections to major LLMs via API. Share chats, prompts, and agents
claude-emporium by Vvkmnn · ⭐ 82
🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace
Context-Engine by Context-Engine-AI · ⭐ 401
Context-Engine MCP - Agentic Context Compression Suite
daymon by daymonio · ⭐ 365
Daymon puts your favorite AI to work 24/7. It schedules, remembers, and orchestrates your own virtual team. Fr

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How this security grade is produced

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:

View on GitHub → Browse MCP Server tools