claude-code-mcp: claude-code-mcp

by auchenberg · MCP Server · ★ 188

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

How to install claude-code-mcp

git clone https://github.com/auchenberg/claude-code-mcp.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 68/100

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.

Quick Facts

Stars188
Forks29
LanguageJavaScript
CategoryMCP Server
LicenseMIT
Quality Score68/100
Open Issues4
Last Updated2025-04-08
Created2025-03-07
Platformsclaude-code, mcp, node
Est. Tokens~7k

About claude-code-mcp

Claude Code MCP Claude Code MCP is an implementation of Claude Code as a Model Context Protocol (MCP) server. This project allows you to use Claude Code's powerful software engineering capabilities through the standardized MCP interface. ⚠️ DISCLAIMER ⚠️ Claude Code MCP is a auto-generated project by DevinAI, who was prompted to analyse the Claude Code codebase, and generate an MCP server.

Compatible Skills

These tools work well together with claude-code-mcp for enhanced workflows:

  • awesomeAgentskills — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • extract-getnote-articles — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
  • claude-conductor — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)

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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