by Harzva · MCP Server · ★ 107
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx github:Harzva/chatgpt2localbridge init --root ~/Projects
npx github:Harzva/chatgpt2localbridge --http 3838
Taken from the project's README on GitHub.
Flagged: opens a tunnel service. 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 | 107 |
| Forks | 0 |
| Language | Swift |
| Category | MCP Server |
| License | MIT |
| Quality Score | 50/100 |
| Last Updated | 2026-06-26 |
| Created | 2026-06-19 |
| Platforms | codex, mcp |
| Est. Tokens | ~15k |
ChatGPT2LocalBridge Codex / ChatGPT Plugin App for approved local workspaces. Pages source · Showcase · Human tutorial · Agent tutorial · Auth modes · Linux deploy · Alternatives · Sync flows · <a href="./docs/skill-run
Looking for a chatgpt2localbridge alternative? If you're comparing chatgpt2localbridge 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.
Notion MCP server with token auth: connect Claude Code, Claude Desktop, Cursor, VS Code and Codex to Notion pa
Manage your Hevy workouts, routines, folders, and exercise templates. Create and update sessions faster, organ
Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 287 comman
Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP o
Supercharge AI Agents, Safely
Persistent memory for AI coding agents
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: