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 bgts-ai-org · MCP Server · ★ 70
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is bgts-context-engine safe to install? View the security audit →
Deterministic code-graph context for AI coding agents. Ask "why does the login timeout fire on the meeting webhook?" and get the eight symbols that actually answer it — ranked, budgeted, and reproducible. Quick start · Use it from your agent · How it works · Supported models · Documentation · Türkçe Why this exists An agent working on an unfamiliar repository has to decide what to read bef
| Stars | 70 |
| Forks | 3 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67.2838553499279/100 |
| Open Issues | 8 |
| Last Updated | 2026-10-09 |
| Created | 2026-09-08 |
| Platforms | mcp, python |
| Est. Tokens | ~18k |
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bgts-context-engine is Deterministic code-graph context engine for AI coding agents - PostgreSQL + Apache AGE + pgvector, MCP & REST, no LLM in the loop.. It is categorized as a MCP Server with 70 GitHub stars.
bgts-context-engine is primarily written in Python. It covers topics such as ai-agents, apache-age, ast.
You can find installation instructions and usage details in the bgts-context-engine GitHub repository at github.com/bgts-ai-org/bgts-context-engine. The project has 70 stars and 3 forks, indicating an active community.
bgts-context-engine is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to bgts-context-engine on Agent Skills Hub include trace-mcp, logicstamp-context, tree-sitter-analyzer. 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: