by ali-kamali · MCP Server · ★ 167
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Knowledge Base & RAG
git clone https://github.com/ali-kamali/Axon.MCP.Server.git
Taken from the project's README on GitHub.
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.
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 | 167 |
| Forks | 23 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 64/100 |
| Open Issues | 16 |
| Last Updated | 2026-06-30 |
| Created | 2025-12-26 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~528k |
Axon.MCP.Server Model Context Protocol (MCP) Server for AI IDEs - Cursor, AntiGravity & Claude Transform your codebase into an intelligent knowledge base for AI-powered development with Cursor IDE, Google AntiGravity, and MCP-enabled assistants []() []() 📋 Table of Contents -
Looking for a Axon.MCP.Server alternative? If you're comparing Axon.MCP.Server 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.
A Model Context Protocol (MCP) that allows Claude Desktop and other AI tools (Claude Code, Cursor, Antigravity
A structural code search engine for Al agents.
Structural code intelligence for AI agents — semantic search, knowledge graphs, and a built-in MCP server in o
An MCP server for Azure DevOps
MCP server that lets Claude Code and other AI agents read and search large PDFs, one file or a whole folder: a
Production-grade GitLab MCP server with 86 tools — full GitLab control from any AI agent (Claude, Cursor, Zed)
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: