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 cyanheads · MCP Server · ★ 235
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is git-mcp-server safe to install? View the security audit →
@cyanheads/git-mcp-server A Git MCP server for AI agents. STDIO & Streamable HTTP. 28 Tools · 1 Resource · 1 Prompt Tools 28 git operations organized into seven categories: :
| Stars | 235 |
| Forks | 57 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 75.8570614901768/100 |
| Open Issues | 12 |
| Last Updated | 2026-08-24 |
| Created | 2024-12-16 |
| Platforms | mcp, node |
| Est. Tokens | ~17k |
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git-mcp-server is A Git MCP server for AI agents. STDIO & Streamable HTTP.. It is categorized as a MCP Server with 235 GitHub stars.
git-mcp-server is primarily written in TypeScript. It covers topics such as ai, cyanheads, enterprise-ready.
You can find installation instructions and usage details in the git-mcp-server GitHub repository at github.com/cyanheads/git-mcp-server. The project has 235 stars and 57 forks, indicating an active community.
git-mcp-server is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to git-mcp-server on Agent Skills Hub include mcp-gitlab-server, atlassian-mcp-server, MCP-Bridge. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: