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 maximhq · MCP Server · ★ 8.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is bifrost safe to install? View the security audit →
Bifrost AI Gateway The fastest way to build AI applications that never go down Bifrost is a high-performance AI gateway that unifies access to 15+ providers (OpenAI, Anthropic, AWS Bedrock, Google Vertex, and more) through a single OpenAI-compatible API. Deploy in seconds with
| Stars | 8,248 |
| Forks | 1,262 |
| Language | Go |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68.0970722384818/100 |
| Open Issues | 1126 |
| Last Updated | 2026-09-22 |
| Created | 2025-03-19 |
| Platforms | cli, go, mcp |
| Est. Tokens | ~18k |
These tools work well together with bifrost for enhanced workflows:
Looking for a bifrost alternative? If you're comparing bifrost 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.
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bifrost is Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.. It is categorized as a MCP Server with 8.2k GitHub stars.
bifrost is primarily written in Go. It covers topics such as ai-gateway, gateway, gateway-services.
You can find installation instructions and usage details in the bifrost GitHub repository at github.com/maximhq/bifrost. The project has 8.2k stars and 1262 forks, indicating an active community.
bifrost is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to bifrost on Agent Skills Hub include gateway, mcp-router, llmgateway. 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: