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 ozgurcd · MCP Server · ★ 223
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is gograph safe to install? View the security audit →
gograph Stop burning tokens on . Give your AI agent a graph. builds a local, AST-aware call graph of your Go repository and exposes 50+ query tools via CLI and MCP so coding agents can navigate packages, symbols, call chains, routes, SQL, env vars, and tests — without reading raw files. Zero network. Zero execution. Zero secrets read. is purely static analysis — it never runs your code, makes API calls, or opens non- files. Quick Start Why gograph? Benc
| Stars | 223 |
| Forks | 14 |
| Language | Go |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.9014616968076/100 |
| Last Updated | 2026-09-17 |
| Created | 2026-05-08 |
| Platforms | claude-code, cli, go, mcp |
| Est. Tokens | ~17k |
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gograph is Local-only Go static analysis engine with a built-in MCP server. Gives AI coding agents deterministic structural awareness: call graphs, impact analysis, symbol search, and more.. It is categorized as a MCP Server with 223 GitHub stars.
gograph is primarily written in Go. It covers topics such as agentic-coding, ai-agent, ai-coding-assistant.
You can find installation instructions and usage details in the gograph GitHub repository at github.com/ozgurcd/gograph. The project has 223 stars and 14 forks, indicating an active community.
gograph is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to gograph on Agent Skills Hub include fossil-mcp, agent-deck, palot. 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: