Flagged: reads sensitive env vars. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Nexus-Router · MCP Server · ★ 436
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is nexus safe to install? View the security audit →
Plug in all your MCP servers, APIs, and LLM providers. Route everything through a unified endpoint. Aggregate, govern, and control your AI stack. Features MCP Server Aggregation: Connect multiple MCP servers (STDIO, SSE, HTTP) through a single endpoint LLM Provider Routing: Unified interface for OpenAI, Anthropic, Google, and AWS Bedrock LLM providers with full tool calling support Context-Aware Tool Search: Intelligent fuzzy search across all connected tools using natural language queries Protocol Support: Supports STDIO (subprocess), SSE (Server-Sent Events), and streamable HTTP MCP servers Flexible Configuration: TOML-based configuration with environment variable substitution Security: Built-in CORS, CSRF protection, OAuth2, and TLS support Rate Limiting: Multi-level rate limiting with in-memory or Redis backends Docker Ready: Available as a container image with minimal configuration needed Installation
| Stars | 436 |
| Forks | 27 |
| Language | Rust |
| Category | MCP Server |
| License | MPL-2.0 |
| Quality Score | 67.8746417314147/100 |
| Open Issues | 28 |
| Last Updated | 2026-03-16 |
| Created | 2025-07-11 |
| Platforms | mcp, rust |
| Est. Tokens | ~257k |
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nexus is Govern & Secure your AI. It is categorized as a MCP Server with 436 GitHub stars.
nexus is primarily written in Rust. It covers topics such as ai, api, large-language-models.
You can find installation instructions and usage details in the nexus GitHub repository at github.com/Nexus-Router/nexus. The project has 436 stars and 27 forks, indicating an active community.
nexus is released under the MPL-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to nexus on Agent Skills Hub include grafbase, mcp-hub, mcp-agent-langchainjs. 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: